Skip to main content

EDGAR Filings MCP

PyPI MCP

Cursor / Claude tools that return SEC filing numbers, not web-search guesses.

Who this is for: people already in an IDE chat who need a ticker’s 10-K/10-Q symbols, segment revenue, BDC non-accrual, or Form 4 lines without writing edgartools glue.

Pain it solves: models invent segment mix, insider trades, and BDC credit quality. These tools return accession, concept, period, open_market, non-accrual method, and the EDGAR index URL so you can check the filing.

What it is not: a research product, a document reader, or a substitute for reading the 10-K. It wraps edgartools for four jobs only. China PE, humanoid robots, and unlisted credit CVs are out of scope — those filings are not on EDGAR.

Install

If uv is already on PATH, paste this into ~/.cursor/mcp.json (Windows: %USERPROFILE%\.cursor\mcp.json). Use a real name and email (SEC FAQ). Same snippet is in examples/cursor.mcp.json and examples/claude.mcp.json.

{
  "mcpServers": {
    "edgar-filings": {
      "command": "uvx",
      "args": ["edgar-filings-mcp"],
      "env": {
        "EDGAR_IDENTITY": "Your Name you@example.com"
      }
    }
  }
}

PyPI package edgar-filings-mcp is live. Registry name is io.github.Dxfory/edgar-mcp. Skip Smithery hosted. Pin mcp>=1.9,<2 — MCP 2.x renamed FastMCP; the package already pins that range.

The first uvx launch downloads edgartools (pandas / pyarrow). If the client looks stuck, run uvx edgar-filings-mcp once in a terminal so uv can cache the wheels, then restart the MCP server. After that, initialize is a couple of seconds.

No uv yet:

macOS / Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell):

irm https://astral.sh/uv/install.ps1 | iex

From git instead of PyPI:

uvx --from git+https://github.com/Dxfory/edgar-mcp.git edgar-filings-mcp

Clone (no uv)

git clone https://github.com/Dxfory/edgar-mcp.git
cd edgar-mcp
python -m venv .venv

macOS / Linux:

.venv/bin/python -m pip install -e .

Windows:

.\.venv\Scripts\python -m pip install -e .

Point the client at that interpreter with args ["-m", "edgar_mcp"].

If PyPI SSL fails (common with a local HTTPS proxy), use a mirror:

python -m pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple

Tools

Tool Returns
get_trading_symbols Every dei:TradingSymbol on the latest 10-K or 10-Q, plus the legacy entity_info scalar
get_segment_revenue Dimensioned XBRL revenue (product / business / geographic axes)
get_bdc_nonaccrual BDC non-accrual rate, fair value, named investments, and extraction method
get_form4 Newest Form 4 summaries, transaction lines, open_market, and code_counts

form on get_trading_symbols, get_segment_revenue, and get_bdc_nonaccrual is 10-K (default) or 10-Q. get_bdc_nonaccrual only accepts SEC BDCs (814- filers) such as ARCC. There is no fifth tool.

Hot-theme footguns this server will / will not answer

Theme Agent invents Tool Stop
AI infrastructure NVIDIA / hyperscaler “AI mix” get_segment_revenue on NVDA (Data Center is tagged). AMZN/MSFT capex is not AI-only Do not add a fake AI-capex tool
Private credit / BDC Non-accrual, NAV as credit quality, PIK as current get_bdc_nonaccrual Non-accrual ≠ Fitch default rate; PIK can still be accrual
GP-led continuation vehicles Deal price and “premium to par” None Private secondaries are not EDGAR
China PE / 具身智能 Round sizes and factory hours None SSE/HKEX, not EDGAR

Footguns the tools already warn about

  • entity_info.ticker is last-wins on repeated TradingSymbol facts. Dual-class and preferred tickers can replace the common symbol.
  • Segment mix is not in get_financials(). Some statement “DETAILED” views drop reportable-segment lines; this server queries dimensioned facts instead.
  • Form 4 A / M / F are grants, option exercises, and tax withholding — open_market is false.
  • BDC extraction_method=none or a zero rate plus extractor warnings is a parse gap, not proof the book is clean.
  • Latest 10-K can be a 10-K/A. The tools prefer the original form so Schedule-of-Investments footnotes are not dropped.

Run without Cursor

python -m edgar_mcp

stdio only. Do not print to stdout.

python tests/run_offline.py
python scripts/smoke_stdio.py
python scripts/pressure.py

smoke_stdio.py only checks initialize + four tool names (no EDGAR). After uvx is on PATH:

python scripts/smoke_stdio.py -- uvx edgar-filings-mcp

pressure.py hits live EDGAR and needs EDGAR_IDENTITY.

License

MIT. Filing data is from the SEC EDGAR system; this project is not affiliated with the SEC.

Release files for edgar-filings-mcp 1.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for edgar-filings-mcp 1.1.2
File Size Uploaded
edgar_filings_mcp-1.1.2.tar.gz 13.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for edgar-filings-mcp 1.1.2
File Interpreter ABI Platform
edgar_filings_mcp-1.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 27.9 kB

Release files / edgar_filings_mcp-1.1.2.tar.gz

Download URL edgar_filings_mcp-1.1.2.tar.gz
Size 13.9 kB
Tags Source
SHA-256 checksum
How to use checksums
1c01f9a4b31d1c437df5b740237199b0a6fd8ae4defc3dbb8fe0325e5e69f774
BLAKE2b-256 checksum
How to use checksums
a10182da4be4fbc950af3684a577bac76693a82f36d1acc7e85ab543d595e3cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.

Transparency log

Release files / edgar_filings_mcp-1.1.2-py3-none-any.whl

Download URL edgar_filings_mcp-1.1.2-py3-none-any.whl
Size 14.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
826b3153ee65e18be4b680c8221b95e5300d22c85903df60abb2204ebfd49ab5
BLAKE2b-256 checksum
How to use checksums
95be14fab1746cc6802f8b52f1273430e1f7a83a0478564993bc38863396f294
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.1.2 This release

2 release files

1.1.1

2 release files

1.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page