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EDGAR (SEC filings)

by mcpwrightversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.mcpwright/edgar-mcp

Install

Overview

Description from the maker (original English)

SEC filings in your agent: issuers, Reg CF/D/A raises, XBRL financials, insider trades.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: EDGAR_MCP_USER_AGENT

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "edgar": {
      "command": "uvx",
      "args": [
        "mcpwright-edgar"
      ],
      "env": {
        "EDGAR_MCP_USER_AGENT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add edgar --env EDGAR_MCP_USER_AGENT=your-value -- uvx mcpwright-edgar

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "edgar": {
      "command": "uvx",
      "args": [
        "mcpwright-edgar"
      ],
      "env": {
        "EDGAR_MCP_USER_AGENT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "edgar": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcpwright-edgar"
      ],
      "env": {
        "EDGAR_MCP_USER_AGENT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • EDGAR_MCP_USER_AGENT env
    Descriptive User-Agent with contact info, which the SEC requests (e.g. 'your-app you@example.com'). Optional but recommended.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mcpwright, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32623 servers in this category
  • Published to the registry more recently than 29% of the other 32623 servers in this category
  • Basic checks equal to or better than 100% of the other 32623 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is EDGAR (SEC filings) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Draugr

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Draugr

by draugr-dev

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

edgar-mcp

SEC EDGAR filings, inside your agent. An MCP server that lets an LLM resolve companies, search filings, and pull recent securities offerings straight from the SEC — built on Anthropic's official mcp Python SDK.

All tools are read-only and hit public SEC endpoints (no API key required).

Status: 11 tools, working today (see below). Published on PyPI as

mcpwright-edgar and in the

official MCP Registry. See the roadmap for what's next.

Tools

ToolWhat it does
lookup_issuer(query, limit=10)Resolve a ticker or company name → CIK, legal name, tickers, exchange. Works for exchange-listed and private / non-exchange filers (Reg CF / Reg A issuers, funds).
list_filings(cik_or_query, form_type=None, limit=20)An issuer's most recent filings, newest first. Optional form-type filter (e.g. 10-K, C, D).
search_filings(query, forms=None, date_from=None, date_to=None, limit=20)Full-text search across filing documents.
get_recent_offerings(form="C", since=None, state=None, limit=20)Recent securities offerings, newest first — form="C" (Reg CF), "D" (Reg D), or "A" (Reg A — 1-A offering statements plus 253G2 offering circulars, where the per-share price and any "price walk-up" live), optionally filtered by issuer state (e.g. "CA").
get_filing(accession_or_url, cik=None)Open one filing: form, filing date, primary-document link, and every document in the filing.
get_form_d_details(accession_or_url, cik=None)Parse a Form D (Reg D) raise: offering amount, sold/remaining, min investment, # investors, industry, revenue range, security types, exemptions, and the officers/directors/promoters.
get_form_c_details(accession_or_url, cik=None)Parse a Form C (Reg CF) raise: target/max amount, price, security type, deadline, intermediary, employees, and a two-year financial snapshot (revenue, net income, assets, debt).
get_company_facts(cik_or_query)Headline financials from a public company's XBRL facts: latest annual revenue, gross/operating income, net income, assets, liabilities, equity, cash.
get_filing_text(url, offset=0, max_chars=20000)Fetch a document's text (HTML stripped) for reading/summarizing — paginated, since filings can exceed 1M characters.
get_insiders(cik_or_query, limit=25)A company's insiders (officers, directors, >10% owners) from recent Section 16 filings, with roles.
get_insider_trades(cik_or_query, limit=20)Recent insider transactions (Form 4): owner, role, buy/sell/grant, shares, price, shares owned after.

Install

Requires Python 3.12+. The zero-clone way to run it (the PyPI package is mcpwright-edgar; the command, server, and tools are all "edgar"):

uvx mcpwright-edgar
Claude Code
claude mcp add edgar -- uvx mcpwright-edgar
Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "edgar": { "command": "uvx", "args": ["mcpwright-edgar"] } } }

OpenAI Agents SDK (Python)

It's a standard MCP server, so it works with any MCP-capable client — not just Claude. With the OpenAI Agents SDK:

from agents import Agent, Runner

from agents.mcp import MCPServerStdio

async def main(): async with MCPServerStdio( name="edgar", params={ "command": "uvx", "args": ["mcpwright-edgar"], "env": {"EDGAR_MCP_USER_AGENT": "your-app you@example.com"}, }, ) as edgar: agent = Agent( name="Analyst", instructions="Use the EDGAR tools for SEC filings and company data.", mcp_servers=[edgar], ) result = await Runner.run( agent, "Recent Reg D raises in California — who's behind the biggest?" ) print(result.final_output)

Any other MCP client (Cursor, VS Code, Cline, Goose, Zed, …)

They all launch a stdio MCP server the same way — point yours at:

{

"mcpServers": { "edgar": { "command": "uvx", "args": ["mcpwright-edgar"], "env": { "EDGAR_MCP_USER_AGENT": "your-app you@example.com" } } } }

Hosted chat connectors (e.g. ChatGPT connectors) expect a remote MCP server over

Streamable HTTP; mcpwright-edgar runs locally over stdio. Running it behind Streamable

HTTP for a hosted endpoint is straightforward if you need that.

SEC etiquette: the SEC requires a descriptive User-Agent with contact info and rate-limits

to ~10 req/s. Set your own via the EDGAR_MCP_USER_AGENT env var

(e.g. "your-app your-email@example.com"). The client throttles and retries for you.

Caching: responses are cached in-memory (byte-budgeted LRU) to cut latency and SEC load —

immutable filing-archive content for days, the ticker map for 24h, everything else briefly.

Set EDGAR_MCP_CACHE=0 to disable.

Develop

git clone https://github.com/mcpwright/edgar-mcp && cd edgar-mcp

uv sync uv run pytest # tests (mocked SEC responses) uv run ruff check . && uv run ruff format --check . # lint + format uv run mypy src tests # strict type checking uv run mcp dev src/edgar_mcp/server.py # poke the tools in the MCP Inspector

Roadmap

  • get_recent_offerings(form=C|D) — recent Reg CF / Reg D raises
  • get_filing(accession_or_url) — open a filing and list its documents
  • get_form_d_details(...) — parse Reg D offering data (amount, investors, people)
  • get_form_c_details(...) — parse Reg CF offering data (target/max, financials, terms)
  • get_insiders / get_insider_trades — Section 16 (Form 3/4/5) insiders & trades
  • State filter on get_recent_offerings (industry isn't filterable — EDGAR omits SIC on these listings; screen via get_form_d_details.industry_group)
  • Reg A support in get_recent_offerings (Form 1-A statements + 253G2 offering circulars)
  • get_company_facts(cik) — XBRL headline financials
  • get_filing_text — return a document's text for summarization
  • Published to PyPI (mcpwright-edgar) + the official MCP Registry (io.github.mcpwright/edgar-mcp)
  • get_form_a_details — parse Reg A (Form 1-A) offering data
  • Older-filing metadata (beyond the recent-submissions window)

Privacy

edgar-mcp runs entirely on your machine and collects, stores, or transmits no personal data — no accounts, no tracking, no telemetry. Its only outbound requests go to the U.S. SEC's EDGAR services (data.sec.gov, efts.sec.gov, www.sec.gov) to fetch the public filings you ask for; no API key is needed. One honest note: the SEC's fair-access policy asks for a descriptive User-Agent with contact info (EDGAR_MCP_USER_AGENT="your-app you@example.com") — whatever you set there is sent to the SEC with each request, and nowhere else. Responses are cached in memory only; nothing is persisted to disk.

Full policy: https://mcpwright.com/privacy/

Questions & feedback

  • Questions, ideas, or "could it do X?" → Discussions
  • Bugs & concrete feature requests → Issues

Contributions welcome — and if you build something with it, I'd love to hear about it.


Part of mcpwright · built by Devender Gollapally

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