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sec-edgar-mcp

Active·★ 273·AGPL-3.0·Updated 2026-05-29
★ API Integration★ Data Processing

A SEC EDGAR MCP (Model Context Protocol) Server

SEC EDGAR MCP is a server that provides AI assistants with precise access to SEC EDGAR filings, including company financials, statements, and insider trading data. It is built on `edgartools` and offers tools for CIK lookup, filing retrieval (10-K, 10-Q, 8-K), and XBRL-parsed financial statements.

#SEC EDGAR#Financial Data#AI Assistants#XBRL Parsing#Insider Trading#Company Filings#Python#Docker
$ Install
$ docker run -i --rm -e SEC_EDGAR_USER_AGENT=Your Name ([email protected]) stefanoamorelli/sec-edgar-mcp:latest
↗ Visit site★ GitHub
01

Features

01Connects AI assistants to SEC EDGAR filings with exact numeric precision.
02Provides tools for CIK lookup, company information, and company facts.
03Enables retrieval and section extraction of 10-K, 10-Q, and 8-K filings.
04Offers XBRL-parsed balance sheets, income statements, and cash flow data.
05Includes data on Form 3/4/5 insider trading transactions.
02

Compatibility

Python
Runtime
Verified via docs
3.11+
Version
Verified via docs
Docker
Deployment
Verified via docs
03

Quick start

1
$ docker run -i --rm -e SEC_EDGAR_USER_AGENT=Your Name ([email protected]) stefanoamorelli/sec-edgar-mcp:latest
04

Use cases

↳Automated financial analysis and report generation by AI.
↳Integrating real-time SEC EDGAR data into AI assistant workflows.
↳Developing applications requiring precise financial and insider trading data access.
↳Researching company financials and historical filings programmatically.
05

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Related searches

sec-edgar-mcp AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basesec-edgar-mcp Tutorialsec-edgar-mcp Vs CompetitorsSEC EDGARFinancial DataAI Assistants

Comments

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  • E
    Ellis LeeMay 5, 2026

    Good for financial research applications that need 10-K, 10-Q, and filing data.

  • S
    Sasha ThompsonApr 2, 2026

    SEC EDGAR data via MCP makes financial filings accessible in AI workflows.

  • M
    Marlowe JohnsonApr 2, 2026

    Data comes straight from EDGAR — no intermediary that might lag or filter.

  • E
    Emerson ZhangMar 2, 2026

    Works well for building AI-assisted financial analysis tools.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 273
Last commit1d ago
StatusActive
LicenseAGPL-3.0
CategoryRAG / Knowledge Base
Trend (30d)
+10.9↑ 0.3%
Links
Documentation↗Discussion↗Issues↗Releases↗

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