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sapph1re/findata-mcp

by Various

FinData MCP — Financial data via Model Context Protocol. Live market prices, SEC filings, earnings, options flow, macro indicators.

S

MCP

sapph1re/findata-mcp

Added 1 June 2026

Overview

A Model Context Protocol (MCP) server that exposes endpoints for live market prices, SEC filings, earnings, options flow, and macro indicators. It allows MCP-compatible clients to query financial data through a standardized interface using Python.

Best for

Best for
Developers who want to give AI assistants direct access to financial data through the MCP protocol

Use cases

  • Fetch live stock prices for portfolio monitoring within an AI assistant
  • Retrieve SEC filings and earnings data for automated company research
  • Query macro indicators for economic trend analysis in a dashboard

Notes

A Model Context Protocol (MCP) server that exposes endpoints for live market prices, SEC filings, earnings, options flow, and macro indicators. It allows MCP-compatible clients to query financial data through a standardized interface using Python.

0 stars on GitHub. Last updated 2026-04-28. Licensed MIT.

Use cases

  • Fetch live stock prices for portfolio monitoring within an AI assistant
  • Retrieve SEC filings and earnings data for automated company research
  • Query macro indicators for economic trend analysis in a dashboard

Pros

  • Covers multiple financial data types in a single MCP server simplifying integration
  • Open source and written in Python making it easy to modify or extend
  • Standardized protocol enables use with various MCP clients like Claude or custom agents

Cons

  • Very early stage with zero stars and minimal community documentation or support
  • Data reliability depends on external free or paid APIs which may have rate limits or accuracy issues
  • Requires self-hosting and likely API keys for many data sources

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

Pros

  • Covers multiple financial data types in a single MCP server simplifying integration
  • Open source and written in Python making it easy to modify or extend
  • Standardized protocol enables use with various MCP clients like Claude or custom agents

Cons

  • Very early stage with zero stars and minimal community documentation or support
  • Data reliability depends on external free or paid APIs which may have rate limits or accuracy issues
  • Requires self-hosting and likely API keys for many data sources