mcp_massive and yahoo-finance-mcp

mcp_massive
62
Established
yahoo-finance-mcp
52
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 25/25
Stars: 264
Forks: 75
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 235
Forks: 126
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About mcp_massive

massive-com/mcp_massive

An MCP server for Massive.com Financial Market Data

Exposes four composable tools—search, docs, call, and query—that let LLMs discover and invoke any Massive.com API endpoint, with support for in-memory DataFrame storage and SQL querying via SQLite. Includes built-in financial functions (Black-Scholes Greeks, moving averages, Sharpe/Sortino ratios) applicable to API results or stored data. Dynamically indexes the entire API surface from Massive.com's `llms.txt` at startup, ensuring automatic synchronization with new endpoints and data coverage across stocks, options, crypto, fundamentals, and market data.

About yahoo-finance-mcp

Alex2Yang97/yahoo-finance-mcp

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

Implements 11 distinct MCP tools spanning stock fundamentals, financial statements, options chains, and analyst data—enabling Claude to perform comparative analysis across multiple securities and timeframes. Built on yfinance and pandas with Pydantic validation, it integrates directly with Claude for Desktop via stdio transport and supports both local development and remote execution through uvx. The modular tool architecture allows AI agents to compose complex financial workflows, from institutional ownership tracking to multi-quarter financial statement analysis.

Scores updated daily from GitHub, PyPI, and npm data. How scores work