Python/PyPI MCP server for AION Indian Market Intelligence — macro event and NSE sector impact analysis

AION Indian Market Intelligence MCP Server

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 gives any MCP-compatible agent structured sector-impact context for an Indian financial headline. Classification sits inside an auditable causal structure rather than a black box: every result carries the evidence behind it, a confidence score, and impacts that are signed rather than a single sentiment number. It also reads cultural and sovereign context, which conventional models underweight.

Fetch Indian market data with any MCP. Understand what it means with this one.

Install

Run directly (no install required):

uvx aion-indian-market-intelligence-mcp

Or install permanently:

pip install aion-indian-market-intelligence-mcp
aion-indian-market-intelligence-mcp

API Key

export AION_API_KEY="<your_api_key>"

Register: dashboard.aiondashboard.site/access/register

Claude Desktop

{
  "mcpServers": {
    "aion-indian-market-intelligence": {
      "command": "uvx",
      "args": ["aion-indian-market-intelligence-mcp"],
      "env": {
        "AION_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Tool: analyze_news

Input:

{
  "headline": "RBI MPC holds repo rate at 6.50% — June 2026",
  "published_at": "2026-06-05T10:00:00+05:30"
}

Output (real validated — RBI decision, 5 Jun 2026):

{
  "headline": "RBI MPC holds repo rate at 6.50% — June 2026",
  "event": "monetary_policy",
  "event_subtype": "repo_rate_hold",
  "confidence": 0.91,
  "vix_regime": "normal",
  "sector_vector": {
    "Banking & Financial Services": 0.38,
    "NBFCs":                        0.14,
    "Real Estate":                 -0.44,
    "IT Services":                 -0.21,
    "FMCG":                         0.09
  },
  "stakeholder_views": {
    "depositors":                  "neutral — FD yields stable",
    "home_loan_borrowers":         "relief — EMI unchanged",
    "banks":                       "positive — CASA margins intact",
    "equity_investors_financials": "positive — Nifty Bank +0.35% vs Nifty 50 −0.21%",
    "equity_investors_it":         "negative — IT −0.99%"
  }
}

Actual session result: Nifty Bank +0.35%, Fin Services +0.10% vs Nifty 50 −0.21% and IT −0.99%. Correct directional call for every named sector.

Compatible clients

Claude, ChatGPT, Gemini, Cursor, VS Code, Windsurf, Cline, and any MCP-compatible IDE or agent runtime.

Links

MCP Server · Populars

MCP Server · New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie — graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m