Financial-Modeling-Prep-MCP-Server and finance-mcp
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.
About finance-mcp
FlowLLM-AI/finance-mcp
LLM-powered MCP server for building financial deep-research agents, integrating web search, Crawl4AI scraping, and entity extraction into composable analysis flows.
Built on the FlowLLM framework, it combines YAML-based zero-code flow composition with 20+ pre-built financial analysis workflows and multi-protocol transport support (stdio/SSE/HTTP). Integrates Tushare for A-share data, Crawl4AI for web scraping, DashScope/Tavily for search, and includes intelligent multi-level caching to reduce API costs while supporting both MCP clients and FastMCP Python clients.
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