Vanoe Intelligence Mcp

Vanoe Market Intelligence MCP server

[PyPI] [NVDA verdict] [AAPL verdict]

Get a free API key in ten seconds: https://api.vanoe.ai/signup?src=mcp-readme — 1,000 credits a month, no card. The key page also prints the hosted MCP URL to paste into Claude.ai or ChatGPT as a connector.

Exposes the Vanoe Market Intelligence API as tools any MCP-capable AI assistant (Claude Desktop, Claude Code, Cursor, etc.) can call directly: a composite 0–100 verdict per ticker, trend-stage analysis (current and a backtest-safe weekly history), Point & Figure signals, sector breadth, the macro risk regime, SEC insider and 8-K filings, the macro calendar, and your usage.

This is a thin authenticated client, not a free tier: every tool call is a real, metered call against your plan using your own API key, exactly like calling the REST API yourself. Get a free key (1,000 credits a month, no card) here: https://api.vanoe.ai/signup?src=mcp-readme

Informational data only. Not financial advice. See https://api.vanoe.ai/terms.

Hosted endpoint (no install)

The same tools are served over MCP's streamable HTTP transport by the API itself, for clients that take a URL (Claude.ai custom connectors, ChatGPT, hosted agent platforms):

• https://api.vanoe.ai/mcp with Authorization: Bearer <your key>, or
• https://api.vanoe.ai/mcp/k/<your key> for clients that cannot send headers (the key page after signup prints this URL; treat it like a password).

Stateless, JSON responses, metered exactly like the REST API. Use the package below when you want the server to run on your own machine.

Claude Desktop: one-click install

Download vanoe-market-intelligence.mcpb and open it with Claude Desktop (macOS or Windows). It asks for your API key once, stores it securely, and installs the server itself using the uv runtime. Source of the bundle is in mcpb/; rebuild with npx @anthropic-ai/mcpb pack mcpb vanoe-market-intelligence.mcpb.

Install

No install step is needed with uv — uvx fetches and runs the package on demand:

uvx vanoe-intelligence-mcp

Or install it permanently with pipx install vanoe-intelligence-mcp or pip install vanoe-intelligence-mcp, which puts a vanoe-intelligence-mcp command on your PATH.

Configure your MCP client

Set one environment variable, VANOE_API_KEY. VANOE_API_BASE_URL is optional and defaults to https://api.vanoe.ai.

Claude Desktop (claude_desktop_config.json) and most other clients:

{  "mcpServers": {    "vanoe": {      "command": "uvx",      "args": ["vanoe-intelligence-mcp"],      "env": { "VANOE_API_KEY": "sk_live_your_key_here" }    }  }}

Claude Code:

claude mcp add vanoe -e VANOE_API_KEY=sk_live_your_key_here -- uvx vanoe-intelligence-mcp

Then ask your assistant things like "What's the verdict on NVDA and why?", "Which stage are AAPL, MSFT and AMD in?", or "Is the macro regime risk-on right now?" — it will call the tools below.

Tools

Tools never raise. Any failure — missing key, network error, quota exceeded, an unknown ticker — comes back as {"error": {"code", "message", "http_status"}} carrying the API's own message, so the assistant can explain what happened instead of crashing the call.

Webhook management is deliberately not exposed: it is account administration, not something to do mid-conversation. Use the REST API for that.

Development

git clone https://github.com/vanoe-ai/vanoe-intelligence-mcp.gitcd vanoe-intelligence-mcppython -m venv .venv && . .venv/bin/activate     # Windows: .venv\Scripts\activatepip install -e '.[test]'pytest testsVANOE_API_BASE_URL=http://localhost:8000 VANOE_API_KEY=sk_live_… vanoe-intelligence-mcp

Source lives at https://github.com/vanoe-ai/vanoe-intelligence-mcp; issues and pull requests welcome. If you also run the API server locally, install this in its own virtualenv, separate from the API server's own requirements.txt: the mcp SDK pulls in a newer starlette than the API's FastAPI pin tolerates, and sharing one environment breaks the API server with Router.__init__() got an unexpected keyword argument 'on_startup'. End users never hit this (the MCP server runs on their machine, next to their assistant).

tests/manual_e2e_smoke.py runs the real server as a subprocess over stdio against a reachable API with a real key; it is not part of pytest.

The MCP Python SDK is on v2: the server class is mcp.server.mcpserver.MCPServer (older tutorials show FastMCP at a different import path).

Releasing

python -m buildtwine upload dist/*

Bump version in pyproject.toml first. The older INTEL_API_KEY / INTEL_API_BASE_URL variable names are still accepted for compatibility.