mcp_massive
Active·★ 344·MIT·Updated 2026-05-05
★ Data Processing★ API Integration
An MCP server for Massive.com Financial Market Data
This project implements an experimental Model Context Protocol (MCP) server, offering an LLM-friendly interface to Massive.com's comprehensive financial data API. It provides composable tools for searching endpoints, fetching documentation, calling API functions, and querying in-memory DataFrames with SQL, alongside built-in financial functions.
#MCP Server#Financial Data#LLM Tools#SQL Interface#Python#API Integration#Data Analysis#Quantitative Finance
01
Features
01LLM-friendly interface to Massive.com financial data API.
02Four composable tools: search_endpoints, get_endpoint_docs, call_api, query_data.
03In-memory DataFrame storage and SQL querying capabilities.
04Built-in financial functions for Greeks, Returns, and Technical indicators.
05Dynamic indexing of all Massive.com API endpoints at startup.
02
Compatibility
Python
Runtime
Verified via docs
Astral UV
Package Manager
Verified via docs
Claude Code
Integration
Verified via docs
Claude Desktop
Integration
Verified via docs
03
Quick start
1
$ uv tool install "mcp_massive @ git+https://github.com/massive-com/[email protected]"
2
$ claude mcp add massive -e MASSIVE_API_KEY=your_api_key_here -- mcp_massive
04
Use cases
↳Get the latest price for a specific stock (e.g., AAPL).
↳Retrieve historical trading volume for a company (e.g., MSFT).
↳Calculate technical indicators like SMA for closing prices.
↳Compute Black-Scholes delta for option contracts.
05
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Comments
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- SSterling MartinezApr 20, 2026
Financial market data via MCP without building custom API integrations.
- SSterling KimMar 19, 2026
Useful for building financial AI agents that need real market data.
- OOaklyn ClarkMar 18, 2026
Good data coverage for quantitative analysis and AI-assisted trading workflows.
- MMarlowe JacksonMar 9, 2026
Clean data format, works well with downstream analysis tools.