wshobson/maverick-mcp

Score: 50.4 Rank #249

MaverickMCP - Personal Stock Analysis MCP Server

Overview

wshobson/maverick-mcp is a Python MCP server licensed under MIT. MaverickMCP - Personal Stock Analysis MCP Server Topics: anthropic, artificial-intelligence, claude, equities, finance, financial-analysis, fintech, investing, mcp, mcp-server, pandas, python, technical-analysis, tiingo, tiingo-api, trading, fastmcp, mcp-servers, stock-market, stocks.

Ranked #249 out of 25632 indexed tools.

In the top 1% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

anthropicartificial-intelligenceclaudeequitiesfinancefinancial-analysisfintechinvestingmcpmcp-serverpandaspythontechnical-analysistiingotiingo-apitradingfastmcpmcp-serversstock-marketstocks

Signal Breakdown

Stars 420

Freshness 3d ago

Issue Health 57%

Contributors 8

Dependents 0

Forks 106

Description Brief

License MIT

How to Improve

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Details

Stars: 420
Forks: 106
Open Issues: 3
Closed Issues: 4
Contributors: 8
Dependents: —
Language: Python
License: MIT
Last Commit: 3d ago

Matched Queries

"mcp server""mcp-server"

From the README

# MaverickMCP - Personal Stock Analysis MCP Server

**MaverickMCP** is a personal-use FastMCP 2.0 server that provides professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to your Claude Desktop interface. Built for individual traders and investors, it offers comprehensive stock analysis capabilities without any authentication or billing complexity.

The server comes pre-seeded with all 520 S&P 500 stocks and provides advanced screening recommendations across multiple strategies. It runs locally with HTTP/SSE/STDIO transport options for seamless integration with Claude Desktop and other MCP clients.

## Why MaverickMCP?

MaverickMCP provides professional-grade financial analysis tools directly within your Claude Desktop interface. Perfect for individual traders and investors who want comprehensive stock analysis capabilities without the complexity of expensive platforms or commercial services.

**Key Benefits:**

- **No Setup Compl

Read full README on GitHub →

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