Borrowing it
Nothing to install: this file belongs to lucasastorian/edgarmcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lucasastorian/edgarmcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/lucasastorian/edgarmcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/lucasastorian/edgarmcp/claude-md)<a href="https://agentmods.dev/instructions/lucasastorian/edgarmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/lucasastorian/edgarmcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/lucasastorian/edgarmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/lucasastorian/edgarmcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00840 | $0.00840 |
| Opus 5 | $0.00420 | $0.00420 |
| Sonnet 5 | $0.00168 | $0.00168 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
edgarmcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
edgarmcp
Standalone, zero-infrastructure SEC EDGAR MCP server. 5 tools: get_filings, read_document, search_filings, view_financials, search_edgar.
Setup
uv venv .venv
source .venv/bin/activate
uv pip install -e "."
export EDGAR_IDENTITY="Your Name [email protected]"
Package manager: uv — always use uv pip install, never bare pip.
Running
# stdio (default, for Claude Code)
python -m edgarmcp
# streamable HTTP (localhost)
python -m edgarmcp --http --port 8000
# public HTTP (auto-generates API key)
python -m edgarmcp --http --host 0.0.0.0 --port 8000
# Add to Claude Code
claude mcp add edgarmcp -- python -m edgarmcp
Architecture
src/edgarmcp/server.py— FastMCP setup, imports + registers all toolssrc/edgarmcp/types.py— FormType, AttachmentType, SectionType, StatementType, ReportTypesrc/edgarmcp/company.py— Ticker/CIK/name → edgartools Company + L2 cached resolutionsrc/edgarmcp/cache.py— L1 LRU cache for parsed filings + accession→filing mapsrc/edgarmcp/storage.py— L2 persistent cache backend (FilesystemCache or S3Cache)src/edgarmcp/filing_loader.py— Load HTML → sec2md parse → sections/notes/attachments + L2 cachesrc/edgarmcp/sections.py— Section type mappings + extraction via sec2mdsrc/edgarmcp/attachment_types.py— Exhibit classification (EX-99→press_release, etc.)src/edgarmcp/auth.py— API key auth middleware + /health + citation/filing HTML servingsrc/edgarmcp/tools/— One file per toolsrc/edgarmcp/financials/— Statement merger (Q4 inference, YTD, splits, TTM) + formatterDockerfile+railway.json— Remote deployment to Railway
Key design decisions
- All tools return
str(markdown) — no structured_content - Standalone — copies logic from intellifin, does not import it
accession_to_filingmapping letsread_documentresolve filings without re-querying- Two-level cache: L1 in-memory LRU (~20 filings), L2 persistent (filesystem or S3). SEC filings are immutable — no TTL.
- BM25 via
rank-bm25— no GPU/API needed - Auto-generated API key when binding publicly (0.0.0.0). Auth required on MCP endpoints;
/health,/cite/,/filing/are public. - Citations work remotely — filing HTML served through main ASGI app via
/cite/and/filing/routes. SetEDGARMCP_BASE_URLfor remote citation links.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 63 lines · 840 tokens per session scan A acda1f944dab
edgarmcp CLAUDE.md is an instructions file published in the GitHub repository lucasastorian/edgarmcp (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 840 tokens to every session, about $0.0042 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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