alpaca-mcp-server and Financial-Modeling-Prep-MCP-Server
These are complementary tools: Alpaca provides trading execution and market access while Financial Modeling Prep supplies fundamental analysis and company data, allowing users to research investments with one tool and execute trades with the other.
About alpaca-mcp-server
alpacahq/alpaca-mcp-server
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
Built with FastMCP and OpenAPI, it dynamically generates trading tools from Alpaca's API specifications rather than hand-crafting them, enabling automatic schema alignment and toolset filtering via `ALPACA_TOOLSETS`. Integrates with Claude, Cursor, VS Code, and PyCharm through the Model Context Protocol (MCP) stdio transport, allowing LLMs to execute trading operations with real-time market data access and portfolio management directly within IDE environments.
About Financial-Modeling-Prep-MCP-Server
imbenrabi/Financial-Modeling-Prep-MCP-Server
A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.
Implements 253+ financial tools organized across 24 categories using the Toolception framework for dynamic runtime management, with meta-tools enabling clients to selectively enable/disable tool categories per session. Offers flexible deployment via a hosted HTTP endpoint or self-hosted modes (dynamic, static, legacy) with session-isolated caching, and integrates with MCP registries (Smithery.ai, Glama.ai, Contexaai.com) for discoverable AI platform integration.
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