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vdalhambra/financekit-mcp

by Various

Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents

V

MCP

vdalhambra/financekit-mcp

Added 1 June 2026

#ai-tools #anthropic #claude #fastmcp #finance #mcp #model-context-protocol #python

Overview

An MCP server that supplies AI agents with financial market data including stock quotes, technical analysis, crypto data, and portfolio insights. It functions as a bridge between AI assistants and financial data sources using the Model Context Protocol.

Best for

Best for
Developers building AI agents that need real-time or analytical financial market data

Use cases

  • Fetch real-time stock quotes for AI assistants
  • Run technical analysis on market data through conversational interfaces
  • Integrate portfolio overviews into AI-driven financial tools

Notes

An MCP server that supplies AI agents with financial market data including stock quotes, technical analysis, crypto data, and portfolio insights. It functions as a bridge between AI assistants and financial data sources using the Model Context Protocol.

4 stars on GitHub. Last updated 2026-04-17. Licensed MIT.

Use cases

  • Fetch real-time stock quotes for AI assistants
  • Run technical analysis on market data through conversational interfaces
  • Integrate portfolio overviews into AI-driven financial tools

Pros

  • Provides a unified MCP interface for multiple financial data types
  • Python codebase is straightforward to deploy and extend
  • Covers equities, crypto, and portfolio data in one server

Cons

  • Very low GitHub star count suggests minimal community adoption and support
  • May depend on external API keys that require separate subscriptions
  • Documentation and maintenance are likely limited for a small project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a unified MCP interface for multiple financial data types
  • Python codebase is straightforward to deploy and extend
  • Covers equities, crypto, and portfolio data in one server

Cons

  • Very low GitHub star count suggests minimal community adoption and support
  • May depend on external API keys that require separate subscriptions
  • Documentation and maintenance are likely limited for a small project