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MCP Massive
An MCP server for Massive.com Financial Market Data
Install
npm install -g @anthropic-ai/claude-codeInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →[!IMPORTANT] :test_tube: This project is experimental and could be subject to breaking changes.
Massive.com MCP Server
A Model Context Protocol (MCP) server that provides access to the full Massive.com financial data API through an LLM-friendly interface.
Rather than exposing one tool per endpoint, this server gives the LLM three composable tools — search, call, and query — that cover the entire Massive.com API surface. Data can be stored in an in-memory SQLite database, and enriched with built-in financial functions.
[!TIP] Don't want to install anything? Massive hosts this server at
https://mcp.massive.com. See the AI Tools quickstart for setup in each client.
Tools
| Tool | Description |
|---|---|
search_endpoints |
Search for API endpoints and built-in functions by natural language query. Returns titles, path patterns, and descriptions. Set detail to "more" for query parameter docs, or "verbose" for full documentation. Use max_results to limit results. |
call_api |
Call any Massive.com REST API endpoint. Supports storing results as an in-memory database table (store_as) and applying post-processing functions (apply). Paginated responses include a next-page hint. |
query_data |
Run SQL against stored SQLite DB. Supports SHOW TABLES, DESCRIBE , DROP TABLE , CTEs, window functions, and more. Results can also be post-processed with apply. |
Built-in Functions
Functions can be applied to API results or query output via the apply parameter on call_api and query_data. Use search_endpoints with scope="functions" to discover them.
| Category | Functions |
|---|---|
| Greeks | bs_price, bs_delta, bs_gamma, bs_theta, bs_vega, bs_rho — Black-Scholes option pricing and greeks |
| Returns | simple_return, log_return, cumulative_return, sharpe_ratio, sortino_ratio |
| Technical | sma (simple moving average), ema (exponential moving average) |
Data Coverage
The server dynamically indexes all Massive.com API endpoints at startup from llms.txt, so it automatically stays in sync with the API. Coverage includes:
- Stock, options, forex, crypto, and futures aggregates
- Real-time and historical trades and quotes
- Market snapshots, gainers/losers
- Ticker details and reference data
- Dividends, splits, IPOs
- Financial fundamentals
- Analyst ratings and news (Benzinga)
- Treasury yields, inflation data
- Market status and holidays
Installation
Prerequisites
- Python 3.12+
- A Massive.com API key [![Button]][Link]
- Astral UV (v0.4.0+)
Claude Code
First, install Claude Code
npm install -g @anthropic-ai/claude-code
Install the MCP server, then register it with Claude Code:
# Install the server (one-time — downloads dependencies ahead of time)
uv tool install "mcp_massive @ git+https://github.com/massive-com/mcp_massive@v0.10.0"
# Register with Claude Code
claude mcp add massive -e MASSIVE_API_KEY=your_api_key_here -- mcp_massive
To upgrade to a new version later:
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