Turn any Indian market headline into a signed sector-impact vector — the causal-context layer your LLM is missing.
AION Analytics (India) — distinct from Polymathic's AION (astronomy), Aion Analytics LLC (United States), and aion-labs (Israel).
License: AGPL-3.0-or-later. This MCP server (the wrapper in this repository) is open source and you can read every line of it. It calls a hosted API; the intelligence engine behind that API and the Python SDK (aion-indian-market-intelligence) are proprietary, and access to the API is by subscription.
The analyze_news tool returns the sector_vector from the hosted API for an Indian financial headline. It provides signed sector-impact context. The fuller REST API response is documented at https://aionanalytics.in/docs/api-reference.txt. This open-source wrapper does not distribute the proprietary inference engine.
Fetch Indian market data with any MCP. Understand what it means with this one.
Run directly (no install required):
uvx aion-indian-market-intelligence-mcpOr install permanently:
pip install aion-indian-market-intelligence-mcp
aion-indian-market-intelligence-mcpexport AION_API_KEY="<your_api_key>"Register: dashboard.aiondashboard.site/access/register
{
"mcpServers": {
"aion-indian-market-intelligence": {
"command": "uvx",
"args": ["aion-indian-market-intelligence-mcp"],
"env": {
"AION_API_KEY": "YOUR_API_KEY"
}
}
}
}Input:
{
"headline": "RBI MPC holds repo rate at 6.50% — June 2026",
"published_at": "2026-06-05T10:00:00+05:30"
}Illustrative tool output shape:
{
"sector_vector": {"example_sector": 0.0}
}This is synthetic shape-only data, not an inference result or validation claim. The MCP wrapper returns only sector_vector; other SDK response fields are not passed through by this tool. Hosted analysis requires an API key.
Works with MCP clients that support stdio servers. The stdio initialization and tool-discovery handshake was tested; the Claude Desktop configuration above is an example, not a certification of every client.