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MCP

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WebCodex exposes an MCP endpoint so ChatGPT, Claude, and other MCP clients can work with repositories through the Runner that owns them. Ordinary users only need to choose between full use and a temporary trial; protocol surfaces, scopes, and credential taxonomy are reference material, not onboarding prerequisites.

ChatGPT: recommended full setup

For everyday use, run a regular Server + Runner. Follow the Full Setup guide for one-time login and project registration, and use --print-mcp-config during that same webcodex login to obtain regular HTTPS MCP connection values. Public HTTPS, Cloudflare Tunnel, and OpenAI Secure MCP Tunnel are reachability choices; they do not change the capabilities of this full development path.

If you only want to try one repository temporarily, use the share path below.

ChatGPT host-side Developer MCP errors

If ChatGPT reports:

FORBIDDEN: This conversation does not support developer MCPs

The rejection comes from the ChatGPT host or the conversation-level Developer MCP admission and routing layer. It does not by itself mean that WebCodex permanently disabled developer access, that the Runner is offline, or that the project registration is invalid.

Check the Runner and project state independently. If they remain available and the request did not reach WebCodex, retry in a conversation where ChatGPT admits Developer MCPs. No WebCodex configuration change is required solely because this host-side error appeared.

ChatGPT: temporary share

Explicit share is supported on Linux, macOS, and Windows and owns a temporary single-project environment for that foreground run. Windows x64 can use the managed default Cloudflare Quick Tunnel; Windows ARM64 needs a trusted explicit/PATH cloudflared because the pinned Cloudflare release publishes no official ARM64 artifact. Managed OpenAI tunnel-client supports both Windows x64 and arm64.

For the default temporary public path, WebCodex reuses an explicit/PATH cloudflared or downloads its pinned verified managed copy automatically, then run:

npm install -g @yyjeqhc/webcodex
cd /path/to/your/repository
webcodex share

When the CLI says WebCodex ready:

  1. In ChatGPT Developer Mode, create a custom app using MCP.
  2. Paste the printed MCP URL.
  3. Choose Access token / API key (Bearer token) for the default share.
  4. Paste the printed temporary Credential.
  5. Run Scan Tools.
  6. Try: Inspect this repository and summarize its structure. Do not make changes.

The command performs project setup itself. Hosted ChatGPT cannot reach a loopback-only webcodex run, so setup, doctor, and run are not required steps before share. ChatGPT UI labels can vary by rollout; use the CLI output as the source of truth for URL and authentication. Developer Mode, custom MCP apps, and write/modify actions are controlled independently by the ChatGPT plan, workspace, and admin settings; those client-side permissions are not widened by WebCodex scopes.

If ChatGPT itself reports FORBIDDEN: This conversation does not support developer MCPs (or says the current conversation disabled the developer MCP server), treat that as a Host/conversation admission problem until proven otherwise. If the Host refuses to dispatch runtime_status, that text is not a WebCodex tool result. Verify the Server/Runner independently before changing credentials or Runner configuration; see Troubleshooting.

Claude and other MCP clients

Use the same printed /mcp URL and authentication values. In Claude, add a custom connector and paste the MCP URL. Other MCP clients should be configured with the same endpoint and the authentication mechanism reported by the CLI. When a client cannot set a Bearer header, webcodex share --auth query-token provides an explicit temporary-share fallback: paste the printed sensitive /mcp?token=... URL and choose No authentication. The query accepts only the current share Project Credential; it is not a general PAT/OAuth/shared-key query auth mechanism. Treat the full URL as a secret because URL queries may be logged. For local-only clients, webcodex share --tunnel none exposes the loopback MCP endpoint without cloudflared.

For an OpenAI-only private transport, create/select a Secure MCP Tunnel, export CONTROL_PLANE_TUNNEL_ID plus a Restricted CONTROL_PLANE_API_KEY with Tunnels Read + Use, and run webcodex share --tunnel openai. ChatGPT uses Connection: Tunnel + No authentication; the temporary WebCodex Bearer stays local and is injected by the pinned verified OpenAI tunnel-client.

For a long-lived loopback-only Server reached through OpenAI Secure Tunnel, ChatGPT host-file rewrites authenticated by the explicitly allowed local tunnel credential can be trusted by setting WEBCODEX_MCP_TRUST_LOOPBACK_API_TOKEN_FILE_IMPORT=true. Starting with v0.4.2, WebCodex Desktop writes this value by default for the local loopback Server it owns; an existing explicit value is never overwritten. The exception works only when WEBCODEX_ADDR resolves to loopback and the authenticated credential is either a normal user API token or the configured Server bootstrap credential used by the Desktop regular Tunnel. The regular Tunnel derives that credential from the local WEBCODEX_TOKEN configuration and injects it into its private tunnel-client authorization; users should not copy or expose that credential. Independent/network- accessible Servers remain off by default and must not use this as a substitute for OAuth.

For a regular independent Windows Server + Runner reached through OpenAI Tunnel, or to troubleshoot a case where local /readyz is healthy but ChatGPT Connector creation still fails, see the Windows + OpenAI Secure MCP Tunnel deep dive. It is advanced setup/troubleshooting material, not required reading for a first-time user.

Result cards

On Stateless MCP 2026 requests that advertise MCP Apps HTML support, clients can display a small set of read-only milestone cards for list_jobs, validation_summary, and git_review_summary. The Job card shows only active or attention-requiring Jobs; routine successful terminal Jobs stay out of the foreground. Aggregate validation and committed-range review cards remain bounded and do not embed raw logs, diffs, or hunks.

High-frequency calls such as observe_jobs, cargo_check, cargo_test, go_test, and show_changes intentionally keep the Host's native tool presentation instead of creating an extra custom App card for every call. Cards do not poll, retry, or invoke tools; the canonical tool result remains available independently. WEBCODEX_MCP_APPS_ENABLED=false disables App metadata and resources without disabling the underlying tools.

The current Result App is intentionally static. September 2026 Host experiments proved that a separately designed MCP App controller can poll server-owned state and request later ChatGPT model turns, including a bounded foreground autonomous multi-turn loop, but background-tab model-turn scheduling is not an immediate guarantee. Those findings and the production design constraints are recorded in agent/mcp-app-continuation-experiments.md; they do not change the current Result App contract.

Live Work Result card

present_work_result opens the separate Window work card with Activity, Results, and Collaboration tabs. Results shows the current Project's uncommitted files, rename paths, staging state, and available line counts while work is in progress. The bounded workspace snapshot can include changes from other work; partial file lists and missing line counts are labelled. A clean workspace is not task success. Linked Session check/review evidence appears when available.

After closeout, Results also shows the sealed final task changes with on-demand per-file diffs. Those diffs keep their original snapshot identity even if the live workspace changes. Refresh uses the existing App-only observation path; opening Results adds no tool calls. Automatic refresh pauses while the App document is hidden and uses a bounded visible cadence so background cards do not continuously exercise the Host tool bridge. Discuss these changes opens the existing composer without sending a message. Window activity calls are compact, collapsed by default, and fetch their sanitized trace/timing details only when expanded. The card header shows the canonical hashed Window key used by the Window activity ledger, making support traces attributable without exposing the Host's raw Window identifier. New cards use ui://webcodex/work-result/v12 so Hosts with cached older templates load the progressive file-list and lazy-detail contract; v11 remains readable for previously mounted cards.

Existing Server

For an existing hosted Server intentionally configured for shared-key clients, use the long-lived shared-key path with the credential supplied by its operator:

webcodex connect https://webcodex.example --key-file /private/path/shared-key

connect starts/reuses the local Runner and prints the MCP URL and credential source after the connection is verified. This is separate from fresh self-hosted Docker enrollment: keep the Docker Server bootstrap administrator token on the Server, create a short-lived pairing code there, and use webcodex login on the repository machine. Self-hosting is documented in Deployment.

Bearer/shared-key authentication is the simplest path. When a client requires OAuth, use share --auth oauth or connect --auth oauth with that client's exact callback URL and follow the CLI output. Managed-user OAuth remains a separate advanced identity flow.

Advanced / reference

Adaptive Runtime routing

There is one model-facing MCP runtime contract: Adaptive Runtime. Canonical ToolDefinition rank decides the direct tools; ordinary model-visible long-tail tools are invoked through call_runtime_tool; server-owned protocol capabilities and MCP App admission may add hidden extensions for the relevant protocol request. There is no startup model-surface selector. tool_manifest(tool_name=...) is discovery only: it never dynamically registers a new Host tool. Its exact route.primary describes the preferred callable, and a normal direct tool also exposes route.fallback through call_runtime_tool for the case where that direct callable is not present; explicit MCP App presentation tools mark that fallback as blocked while Apps are enabled. Direct versus gateway routing changes presentation only and never bypasses the target tool's authentication, Project authority, permission, Runner capability, Session, or safety checks.

Request-local client policy

A shared Server can serve ordinary calls and Host-native orchestration without changing tools or restarting between clients. Configure these optional HTTP headers on the client connection, or inject them on a dedicated proxy route:

X-WebCodex-MCP-Profile: direct
X-WebCodex-MCP-Budget-Secs: 20

X-WebCodex-MCP-Profile accepts exactly direct or host_code_mode. Omission uses WEBCODEX_MCP_HOST_PROFILE (whose default is direct); it does not detect client brands or prove that a particular call was programmatically orchestrated. Send the header on each request, not just initialize or work_on_project. There is no sticky Window, Session, credential or transport selection. For a Server defaulting to host_code_mode, ordinary clients must explicitly select direct; clients unable to set headers can use a configured proxy route.

The optional positive-integer budget header can only reduce the deployment's resolved WEBCODEX_MCP_HOST_BUDGET_SECS budget. Return waits preserve the existing five-second guard (and the existing one-second floor for tiny budgets). A Direct request on a Server budget of 55 seconds therefore defaults to a ten-second execution handoff, with a 50-second synchronous/observation ceiling; Host Code Mode retains its five-second handoff/observation slices. wait_for_job_readiness uses up to 45 seconds, further capped by the selected budget minus the guard, not by the five-second handoff slice. Header omission leaves deployment behavior unchanged. Empty, repeated or malformed headers fail before dispatch without echoing their values; oversized numeric budgets are capped, not used to enlarge Server limits.

This budget limits execution handoff and Job observation/readiness waiting. It is not a universal RPC timeout or an execution lifetime: timeout_secs, Job identity, effects, authorization, internal orchestration caps and Runner ownership are unchanged. Explicit work_on_project.guidance_profile still selects guidance only; it does not override transport timing. Subsequent context refreshes use the policy of their own request. /api/tools/call, result-text compatibility, tools/list, Apps admission and standard error semantics are unaffected. runtime_status.effective_config.mcp_host remains the deployment snapshot, not a claim about every connected client's policy.

Ordinary work stays in the current turn: finish independent work, use one bounded wait_for_job_readiness join for blocking Jobs, then observe_jobs for needed results. At deadline reassess work/dependencies instead of mechanically refilling waits. Preserve pending identities when work cannot finish; never redispatch or assume a new model turn will start. wait_for_job_terminal is optional durable attention for an explicitly established continuation workflow, not a blocking wait or a prerequisite for ordinary MCP.

Tool result framing

Machine-readable MCP tool results are returned in structuredContent; content is a concise human-readable/protocol-native fallback. Clients that need fields should consume structuredContent rather than parse text.

Ordinary clients retain standard MCP isError behavior. For requests whose _meta["io.modelcontextprotocol/clientInfo"].name is exactly openai-mcp (any version), the MCP adapter applies an OpenAI structured-failure compatibility projection: WebCodex-owned canonical ToolResult failures use isError=false, while structuredContent.success=false remains authoritative and the complete output/error is preserved. The current OpenAI Host promotes isError=true to an exception without exposing structuredContent; this projection preserves machine-actionable failure and recovery data and can be removed when that Host behavior changes. JSON-RPC/protocol errors remain errors, and upstream third-party MCP/Plugin passthrough results retain provider semantics.

Some MCP hosts do not expose structuredContent to the model. This has been observed with Claude Custom Connector even when WebCodex successfully executes the tool and returns the complete structured result. Operators serving such a host can explicitly set WEBCODEX_MCP_TEXT_JSON_COMPAT=true. Ordinary runtime tool results then keep structuredContent canonical while also serializing that same JSON value into content[0].text. The option is off by default because the duplicate representation increases response/model-context size; protocol-native image/resource framing and the existing App-only compatibility paths remain unchanged.

Recovery fields in a result describe the next safe explicit call. They never grant authority and never trigger a hidden retry. In particular, an uncertain outcome must be reconciled before repeating an effect.

Built-in local MCP gateway

A hosted Server can expose Runner-owned local stdio MCP providers through the same /mcp endpoint. Authorized callers use the single mcp_tool entry to list, describe, and call configured providers; provider process/instance identities and schema-revision state stay internal.

Configure local providers on the Runner under [mcp]. Access requires the explicit mcp:local permission; hosted OAuth clients opt in with webcodex connect ... --oauth-local-mcp. See Runner for provider compatibility details.

Managed SSH resource onboarding

The ssh_resource tool provides a narrow Runner-local onboarding path for named SSH resources. list observes safe logical names and returns an opaque exact-Runner/revision binding; register and remove consume that binding and change only durable desired state. They never silently retarget a replacement Runner or replay after an uncertain outcome. Raw SSH targets are not returned in tool results or normal/full trace bodies. When restart_required=true, restart the Runner and list again before selecting the resource in a Workflow Session.

This surface requires the optional ssh:local permission. It is not part of the ordinary hosted OAuth baseline; opt in explicitly with webcodex connect ... --oauth-local-ssh. See Runner for static-vs-managed and PersistentShell details.

OAuth2

When OAuth is enabled, MCP clients can use the authorization-code flow instead of a static token. Register the client's exact callback URL, keep offline_access when the host requests refresh-token support, and follow the connection values produced by share --auth oauth or connect --auth oauth. Server setup is in Deployment.

For ordinary hosted connect --auth oauth, the Runner keeps its hosted credential while the MCP client receives a separate OAuth credential. Add --oauth-computer-permissions, --oauth-local-mcp, or --oauth-local-ssh only when those optional capabilities are needed. Existing clients are not silently widened; a real permission change requires reauthorization.

Project-first share --auth oauth remains bound to that temporary share environment. Managed-user OAuth is a separate advanced flow (connect --auth managed-oauth). OAuth credentials are never valid on Runner transport.

For the credential and scope model, see Authentication.

Grok custom connector (OAuth)

Grok supports custom MCP connectors and can complete the OAuth flow required by the MCP server. For a self-hosted WebCodex Server, first expose https://your-domain.example/mcp over public HTTPS and enable OAuth:

WEBCODEX_OAUTH2_ENABLED=true
WEBCODEX_OAUTH2_ISSUER=https://your-domain.example
WEBCODEX_PUBLIC_URL=https://your-domain.example

For the current Grok web connector flow (verified in August 2026), register this redirect URI exactly:

https://grok.com/connectors-oauth-exchange-code/

If Grok later presents or uses a different callback, register that exact value instead. Create a dedicated OAuth client; the client secret is returned only once:

curl -fsS -X POST https://your-domain.example/api/oauth/clients/create \
  -H "Authorization: Bearer $WEBCODEX_PAT" \
  -H "Content-Type: application/json" \
  -d '{"name":"Grok MCP","redirect_uris":["https://grok.com/connectors-oauth-exchange-code/"],"allowed_scopes":["runtime:read","project:read","project:write","job:run"]}'

In Grok's Custom Connector form, use:

Field Value
MCP server URL https://your-domain.example/mcp
Client ID the returned wc_client_* value
Client Secret the returned one-time wc_csec_* value
Authorization Endpoint https://your-domain.example/oauth/authorize
Token Endpoint https://your-domain.example/oauth/token
Scopes runtime:read, project:read, project:write, job:run, offline_access
Token Auth Method client_secret_post

WebCodex advertises PKCE S256; Grok can use PKCE together with client_secret_post. Do not select none (PKCE only) for a WebCodex OAuth client that has a client secret. offline_access is a protocol-level scope for refresh tokens and is intentionally not stored in the OAuth client's allowed_scopes permission list. The MCP Protected Resource Metadata omits scopes_supported because pre-registered clients can have different scope ceilings. General-purpose MCP clients can therefore omit scope and let WebCodex default the authorization request to that client's registered allowed_scopes.

When the WebCodex authorization page opens, sign in with a current user PAT (wc_pat_*) for the user whose authority Grok should receive. A Runner token (wc_agent_*) is not a user login token. The resulting OAuth access token is bound to that user and remains constrained by the registered/requested scopes.

Common setup failures:

  • Save & Connect is disabled: Grok requires a Client ID before it can start the OAuth flow.
  • invalid token: the PAT must authenticate against the same current WebCodex Server database. Do not use a Runner token or a stale PAT left from an older Server/database.
  • invalid scope: every requested WebCodex permission scope must be in the OAuth client's allowed_scopes. For normal Grok MCP use, do not request account:manage; offline_access is accepted separately as a protocol scope.
  • redirect mismatch: the redirect URI must match the registered value exactly, including path and trailing slash.

See xAI's Connector documentation for the current Grok Custom MCP UI and availability.

Project-scoped ordinary runtime

webcodex run and webcodex share bind one configured repository, start a local Server + Runner, and expose the ordinary Adaptive Runtime. The temporary or persistent Project Credential is an authentication/ProjectGrant boundary; it does not select a separate capability surface.

A typical coding flow is:

work_on_project
→ read_files / search_project_texts / semantic navigation as needed
→ edit_project_files or other canonical edit tools
→ present_work_result once when substantial work becomes materially stateful
→ run_process / run_shell / focused validation tools as needed
→ show_changes
→ finish_coding_task

work_on_project starts or resumes an explicit Workflow Session on an ordinary registered Project. If the user requests isolation and a registered Project is already known, use work_on_project(project=..., mode=worktree): the Server reauthorizes that source Project, the Runner derives its internal managed placement, and the resulting worktree is registered as another ordinary Project. The model does not reconstruct a Runner path or choose the managed destination. client_id + path + mode=worktree remains a compatibility/bootstrap form and keeps ordinary path authority checks. Without an isolation request, local share/run work directly on the Project already registered by setup.

present_work_result is a one-card presentation layer for substantial coding, not a correctness primitive. Once mounted, its App-only state reads keep current progress, workspace, validation, and review visible without model polling. A non-blocking finish_coding_task seals eligible final changes in the presentation cache at closeout; the same card then discovers that immutable snapshot and can lazily expand per-file diffs. Tiny/read-only work should skip the card; repeated presentation of the same Session should be avoided.

For ordinary portable read-only validation, prefer project_validate. It accepts only a closed format_check / check / test intent plus an optional auto / rust / go adapter hint; the Runner resolves the nearest unambiguous recipe on its own registered filesystem and then starts the existing structured validation Job. Rust maps to cargo fmt -- --check, cargo check --all-targets, or cargo test; Go maps to go vet ./... or go test -json ./.... An optional bounded scope.packages (1..8 entries) narrows Rust check/test through repeated Cargo -p selectors and Go check/test through project-relative package patterns; package-scoped formatting fails closed. Node/Python detection currently returns a bounded unsupported result. The request never carries arbitrary executable, argv, shell grammar, installation, or source mutation. Existing cargo_* / go_test tools remain available for ecosystem-specific advanced options. project_validate requires the additive project_validation_v1 Runner capability; scoped requests additionally require project_validation_package_scope_v1, so mixed-version deployments fail closed before sending the expanded request.

Adaptive Runtime may expose common tools directly and long-tail tools through call_runtime_tool. Direct versus gateway exposure never changes schema validation, OAuth scope, Project authority, permission policy, Runner capability checks, Session fences, or effects.

The removed ProjectConnector capability names (task_start, files_read, edits_apply, task_finish, and related operations) are not compatibility aliases for runtime tools. Use the current ToolRuntime names returned by tools/list/tool_manifest.

Long work continues as Jobs

observe_jobs(summary_only=true) is an opt-in presentation mode for proven successful structured validation Jobs. It removes routine passed-test and Cargo progress lines, while preserving test summaries, unknown text, warnings, validation evidence, lifecycle, and truncation/reset/retention flags. Failures, zero/unproven tests, compile-only test runs, incomplete validation evidence, and ordinary commands keep their normal output. Tiny results are unchanged when summary metadata would make them larger.

A summarized item includes logs_omitted and a parser-ready suggested_call with summary_only=false. That call preserves the original observation cursor; using the newly returned observation token instead would skip omitted lines. Expansion is bounded by the existing log retention and may report reset or unavailable history. No log copy, model invocation, Job execution, permission, or waiting policy is added. Omitting summary_only preserves the existing behavior.

search_and_read reuses ordinary search-result sparsification after read planning. It omits redundant phase metadata, not source text, query indexes, failure evidence, read revisions, or snapshot-bound continuations.

Long-running commands and validations use the canonical WebCodex Job lifecycle. Observe the exact Job returned by the initiating call with observe_jobs (or recover it with list_jobs when identity was genuinely lost) instead of starting another copy. Jobs are not wrapped as MCP Tasks; WebCodex does not advertise the former Connector-specific MCP Tasks extension.

The ChatGPT/model turn and one MCP observation request do not own the Job lifetime. A Host-side Thinking stopped / Thinking failed, request timeout, or dropped observation therefore does not by itself prove that the Job stopped. Resume the same conversation and re-observe the existing Job; recover Job inventory before any retry when identity was lost. Do not redispatch solely because the model turn ended. Eligible terminal waits may expose best-effort Host continuation, but Host acceptance does not guarantee that a new model turn actually ran. See Troubleshooting.

First safe prompt

Use the configured WebCodex project. Inspect README.md and summarize the
project structure. Do not edit files or run commands.

No project discovery or runtime identifier belongs in this prompt.

Read and search bounds

  • read_files is the canonical bounded range reader for one to eight files. A one-item batch is the single-range path. Each successful item returns the complete-file SHA-256 and bounded line metadata; partial items carry a positional one-item read_files continuation and are not snapshot-stable.
  • search_project_texts is the canonical bounded search surface for one to eight independent queries (ripgrep first with the existing bounded fallback). A one-query batch is the single-query path.

An empty search result is affirmative no-match evidence only after a recognized backend reports a successful completed/no-match status. Missing or malformed backend identity, missing completion status, status/output disagreement, backend failure, Runner failure, timeout, request drop, and provider failure return failures instead. Search failures retain the compatibility code and add bounded failure_stage plus a specific reason_code. Batch failure items retain their broad reason_code and preserve the single-search provenance as failure_stage and detail_code; successful batch items remain sparse.

Failures return small structured errors with project-relative paths only — never absolute paths, commands, Runner/provider stderr, or arbitrary provider prose.

Common errors

Code Meaning Action
project_not_configured No canonical setup exists Run webcodex setup
project_credential_invalid Private Project Credential is missing or mismatched Restore both matching private files or recreate the profile
project_credential_rejected The reachable server rejected the credential Restore the server-matching credential
workspace_unavailable The configured Git workspace is unavailable Restore the workspace, then run doctor
server_unreachable / agent_offline The project Runner/runtime is unavailable Run webcodex run / webcodex doctor
required_capability_unavailable The current Runner/runtime lacks a required coding capability Upgrade all binaries
project_registry_scope_denied A project-scoped credential tried to expand or mutate the Project registry outside its granted visibility Use an already-visible Project or work_on_project(mode=worktree)

Adaptive Runtime extensions

The same ToolRuntime serves project-scoped local share/run instances and multi-project hosted Servers through one Adaptive Runtime contract. Project-scoped credentials change visibility and authority, not the model-facing runtime shape. Protocol-specific capabilities and MCP Apps may admit additional hidden presentation or resource operations without creating another runtime surface.

Stateless MCP keeps Memory tools and the Skill compatibility tools skill_list and skill_read_file off the top-level tools/list, even with full OAuth scopes. Their exact contracts remain available through tool_manifest(tool_name=...) and execute through call_runtime_tool with unchanged scope, Project, permission, and capability checks. Existing direct protocol compatibility and the memory.bootstrap context sidecar remain supported. Ordinary Skill selection and execution keep the direct skill_load and run_skill_resource paths. The optional closeout helpers workspace_hygiene_check and finish_coding_task are model-visible gateway tools; review/coding catalogs still recommend them.

Stateless MCP 2026 exposes common untrusted invocation metadata only through one optional closed _wc envelope. Depending on the tool, the envelope may admit record, ack, ack_ref, resolve, reply, context, and control. These are adapter metadata only: they never become canonical ToolCall business arguments or grant authority. Legacy flat root wrappers such as recording_session_id, ack_session_message_ids, ack_ref, session_message_resolution, window_reply, context_request, and _control are rejected on this Stateless 2026 surface; legacy/non-stateless transports keep their existing contracts. call_runtime_tool carries _wc only on the outer gateway call; the nested target arguments remain canonical business arguments and reject a second _wc.

WEBCODEX_MCP_COMPACT_SCHEMAS defaults to true. Compact tools/list omits outputSchema and projects shorter MCP-specific tool/input descriptions for selection: purpose, nearby tool distinctions, and essential continuation guidance. Repeated _wc copy is shortened too. Compact discovery preserves the envelope shape and bounds while omitting only repeated prose and exact opaque-ID regexes on _wc.record, _wc.ack.items, and _wc.resolve.message_id; the full manifest retains the complete contracts. Business-ID, hash/Git fence and resource-path patterns, all bounds, required fields, enums, object/union shape, annotations, and MCP App/file metadata are preserved. This is discovery presentation only; runtime argument validation and execution authority do not change.

Use tool_manifest(tool_name=...) for the full exact input contract and operational description, or set compact schemas to false for full discovery schemas. Canonical ToolSpecs are never rewritten. Focused MCP tests compare inputs against canonical schemas (with the explicit host-file reference overlay) and enforce serialized-byte and advertised-tool-count budgets on final Stateless results, including Session wrappers, gateway tools, and optional App metadata/tools.

ChatGPT file bridge

When the connected MCP protocol/host admits the artifact capabilities, WebCodex supports host-native file transfer in both directions without routing complete binary payloads through model text:

  • import_conversation_files_to_project imports 1..10 files supplied by the ChatGPT host through openai/fileParams. This applies to user-selected conversation attachments and to newly generated files when the host binds them as file parameters. The Control downloads the referenced bytes and commits them through the existing bounded artifact-write path; callers should not construct download URLs or manually Base64-transfer those files.
  • project_artifact is the preferred Project-to-model/host read surface. Use action=metadata for existence/size/MIME/digest/image/archive facts, action=inspect for one bounded snapshot-fenced Base64 segment, action=image for native MCP image delivery, and action=export for complete host/user delivery. Do not loop inspect chunks to transfer a complete file.
  • action=export reuses the existing artifact export authority and returns a short-lived authenticated MCP ResourceLink plus metadata. tools/call does not contain the complete binary. The host follows resources/read to obtain the binary resource; authentication and current project-read authority are checked again, and the artifact metadata is revalidated before the bytes are returned. The resource URI is not standalone bearer authority; export handles are short-lived process-local presentation state, and the normal size, MIME, path, and authorization bounds remain in force.

The lower-level read_project_artifact_metadata and read_project_artifact tools remain operator/gateway primitives. The legacy export_project_artifact compatibility tool has been removed; complete host delivery is exposed only as project_artifact(action=export). Office artifacts such as DOCX/PPTX/XLSX and PDFs use the same underlying artifact transport and can therefore move between a project and a supporting ChatGPT host without a model manually carrying their Base64.

Use Coding Workflow for the canonical work_on_project bootstrap, behavioral-role mental model, and validation/closeout guidance. See Architecture and the webcodex CLI for operator tooling.