sec-edgar-mcp and Financial-Modeling-Prep-MCP-Server
Both are MCP servers, but one provides SEC EDGAR data while the other provides Financial Modeling Prep data, making them complementary data sources for an AI assistant requiring different financial datasets.
About sec-edgar-mcp
stefanoamorelli/sec-edgar-mcp
A SEC EDGAR MCP (Model Context Protocol) Server
Exposes SEC EDGAR filings, financial statements, and insider trading data through tools for CIK lookup, 10-K/10-Q/8-K retrieval, XBRL-parsed financials, and Form 3/4/5 transactions—all with exact numeric precision and SEC filing URLs for verification. Built on edgartools and deployable via stdio (Docker) or streamable HTTP transport for integration with Claude, Dify, and other AI platforms. Includes Promptfoo-based evaluation suite for testing accuracy against financial data queries.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work