vdalhambra/financekit-mcp
by Various
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
MCP
vdalhambra/financekit-mcp
Added 1 June 2026
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
How to use
Install
npx -y @smithery/cli install @vdalhambra/financekit --client claude Tools exposed
stock_quotecompany_infomulti_quotecrypto_pricecrypto_trendingcrypto_searchcrypto_top_coinstechnical_analysisprice_historymarket_overviewcompare_assetsportfolio_analysis
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf
Example client config
{\n "mcpServers": {\n "financekit": {\n "url": "https://financekit-mcp.mcpize.run/mcp"\n }\n }\n} 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
Pairs with
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