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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/lucasastorian/edgarmcp/agents-md"><img src="https://agentmods.dev/badge/instructions/lucasastorian/edgarmcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.00501 | $0.00501 |
| Opus 5 | $0.00251 | $0.00251 |
| Sonnet 5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
edgarmcp AGENTS.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 7d 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.
What it actually says
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 Codex)
python -m edgarmcp
# streamable HTTP
python -m edgarmcp --http --port 8000
# Add to Codex
Codex 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 Companysrc/edgarmcp/cache.py— LRU cache for parsed filings + accession→filing mapsrc/edgarmcp/filing_loader.py— Load HTML → sec2md parse → sections/notes/attachmentssrc/edgarmcp/sections.py— Section type mappings + extraction via sec2mdsrc/edgarmcp/attachment_types.py— Exhibit classification (EX-99→press_release, etc.)src/edgarmcp/tools/— One file per toolsrc/edgarmcp/financials/— Statement merger (Q4 inference, YTD, splits, TTM) + formatter
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- LRU cache (~20 filings) — repeat reads are instant
- BM25 via
rank-bm25— no GPU/API needed
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.
- 7d ago First seen · 48 lines · 501 tokens per session scan A 740c5811e914
edgarmcp AGENTS.md is an instructions file published in the GitHub repository lucasastorian/edgarmcp (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 501 tokens to every session, about $0.0025 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.