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"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

  • A
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    SEC EDGAR filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.
    3
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    MIT
  • A
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    A free MCP server for stock research combining Finviz screening and SEC EDGAR filings, offering 24 tools for fundamental analysis, insider trades, and financial data without paid subscriptions.
    MIT
  • F
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    MCP server for SEC EDGAR data, providing company search, financial statements, XBRL concepts/frames, filings, Form 4 insider trades, and 13F filings via User-Agent authentication.
  • A
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    It enables AI assistants (Claude, Cursor, etc.) to access SEC EDGAR data through 6 structured tools — from discovering available filings to keyword-searching within their pages.
    7
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    MIT
  • -
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    Enables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.
  • A
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    quality
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    MCP server providing SEC EDGAR signal intelligence — insider trading (Form 4), 13F holdings, filing velocity, activist risk flags, and multi-company comparisons. Already on the official MCP Registry, awesome-mcp-servers (PR #5664 pending), and Apify Store with three-tier pay-per-event pricing. MIT license, TypeScript, comprehensive README.
    5
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    MIT
  • A
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    Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.
    26
    Apache 2.0
  • A
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    8
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    MIT
  • A
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    quality
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    maintenance
    Enables LLMs to download, parse, and analyze SEC EDGAR filings, including 10-K/Q reports, XBRL financial statements, and insider trading data. It provides structured access to institutional holdings, corporate events, and financial facts for comprehensive investment research.
    2
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables aggregated investment research by combining data from Yahoo/SEC EDGAR, Finnhub, and GDELT with analysis modules for price momentum, news signals, and estimate revisions.
  • A
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    Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.
    2
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    AGPL 3.0
  • A
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    quality
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    Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.
    5
    MIT