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**[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge
- **[Roundtable](https://github.com/askbudi/roundtable)** - Unified integration layer that bridges multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through zero-configuration auto-discovery and enterprise-ready architecture.
- **[Routine](https://github.com/routineco/mcp-server)** - MCP server to interact with [Routine](https://routine.co/): calendars, tasks, notes, etc.
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**[Runframe](https://github.com/runframe/runframe-mcp-server)** - Manage incidents, on-call, services, postmortems, and teams from your IDE or agent. Covers the full incident lifecycle with scoped API key auth.
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**[Rube](https://github.com/ComposioHQ/Rube)** - Rube is a Model Context Protocol (MCP) server that connects your AI tools to 500+ apps like Gmail, Slack, GitHub, and Notion. Simply install it in your AI client, authenticate once with your apps, and start asking your AI to perform real actions like "Send an email" or "Create a task."
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**[SafeDep](https://github.com/safedep/vet/blob/main/docs/mcp.md)** - SafeDep `vet-mcp` helps in vetting open source packages for security risks—such as vulnerabilities and malicious code—before they're used in your project, especially with AI-generated code suggestions.
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**[SafeLine](https://github.com/chaitin/SafeLine/tree/main/mcp_server)** - [SafeLine](https://safepoint.cloud/landing/safeline) is a self-hosted WAF(Web Application Firewall) to protect your web apps from attacks and exploits.