mcp_massive

Overview

The MCP Massive server provides seamless access to the full Massive.com financial data API through a simplified LLM-friendly interface with three composable tools: search_endpoints, call_api, and query_data. The server indexes all API endpoints dynamically at startup, automatically staying in sync with the API as it evolves. It includes built-in financial functions for options pricing, returns analysis, and technical indicators, with data storage capabilities using an in-memory SQLite database for efficient data handling and analysis.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• search_endpoints

  Search for API endpoints and built-in functions by natural language query.

  Try:Find options pricing endpointsTry:Search for stock market data functions
• call_api

  Call any Massive.com REST API endpoint with optional storage and post-processing.

  Try:Get latest AAPL stock priceTry:Retrieve yesterday's MSFT trading volume
• query_data

  Run SQL queries against stored SQLite database with post-processing support.

  Try:Show me all stored tablesTry:Calculate 20-day SMA for AAPL

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Installation

npm install -g @anthropic-ai/claude-code
uv tool install "mcp_massive @ git+https://github.com/massive-com/mcp_massive@v0.10.0"
claude mcp add massive -e MASSIVE_API_KEY=your_api_key_here -- mcp_massive

uv tool install "mcp_massive @ git+https://github.com/massive-com/mcp_massive@v0.10.0"
which mcp_massive

{
    "mcpServers": {
        "massive": {
            "command": "<path_to_mcp_massive>",
            "env": {
                "MASSIVE_API_KEY": "<your_api_key_here>",
                "HOME": "<your_home_directory>"
            }
        }
    }
}

FAQ

What transport protocols are supported?

The server supports STDIO, SSE, and streamable-HTTP transport protocols, configurable via CLI argument or the MCP_TRANSPORT environment variable.

How much data can be stored in memory?

The server defaults to a maximum of 50 tables with 50,000 rows per table, though these limits can be adjusted via MASSIVE_MAX_TABLES and MASSIVE_MAX_ROWS environment variables.

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