Borrowing it
Nothing to install: this file belongs to madelponte/mcp-server. 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/madelponte/mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/madelponte/mcp-serverWrote 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/madelponte/mcp-server/agents-md)<a href="https://agentmods.dev/instructions/madelponte/mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/madelponte/mcp-server/agents-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/madelponte/mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/madelponte/mcp-server/agents-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 | $0.05727 | $0.05727 |
| Opus 5.5 | $0.02291 | $0.02291 |
| Sonnet 5.5 | $0.01145 | $0.01145 |
| Haiku 4.5 | $0.00573 | $0.00573 |
Grade A, and why
mcp-server 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 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repository guidance for coding agents and contributors.
What this is
A single FastMCP v4 server that bundles five tool groups — Agentic Web Search (the search_web and fetch_page tools, where fetch_page also returns YouTube video transcripts), Stock Data, Wolfram Alpha, Geocoding & Place Search (OpenStreetMap Nominatim + Overpass), and Email (send_email, send-only SMTP) — originally written as Open WebUI tools and ported to MCP. Default transport is streamable-http, reachable at http://<host>:8000/mcp.
Configuration is one YAML file (config.example.yaml documents every key; config.yaml is the gitignored live copy, bind-mounted at /app/config.yaml in the container), with the legacy per-setting environment variables still working as an override layer on top of it.
The web tool group has two registered modules, tools/web_search.py and tools/fetch_page.py, plus helpers. tools/web_fetch.py owns SSRF-guarded provider transports, streamed direct-resource probing, Tika extraction, and the raw page cache. tools/page_acquire.py owns fetch_page's browser-first acquisition policy (FlareSolverr, quality assessment, optional hedged Firecrawl, and the host circuit breaker); tools/page_quality.py contains the deterministic quality gate and optional OpenAI-compatible classifier. tools/web_extract.py contains pure HTML→content helpers: markdown/plain-text rendering, structured metadata, single-section extraction, and reference-link resolution — [12]-style in-page citation markers are rewritten to their footnote's external source URL so a model can follow a page's references; the structured description falls back to JSON-LD and toc is the heading outline.
YouTube transcript retrieval used to be its own tool; it was folded into fetch_page (which detects a YouTube video URL and returns the transcript) so a model has one fewer tool to choose between. The logic still lives in tools/youtube_transcript.py, now exposed as the fetch_transcript / is_youtube_video_url helpers rather than a registered tool.
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 Changed · +136 tokens per session 2d95aad6812f
- 22d ago Changed · -70 tokens per session 4874c7f66e16
- 1mo ago Changed · +2 lines · +154 tokens per session 7eaf32e43668
- 1mo ago Changed · +1 lines · +402 tokens per session b3dc5f62c08e
- 1mo ago Changed · +11 lines · +167 tokens per session be4a65f6ad56
- 2mo ago Changed · +10 lines · +762 tokens per session 2af29a24d63f
- 2mo ago Changed · +10 tokens per session ea777e3d0a7c
- 2mo ago Changed · +51 tokens per session 3df3d6dd91c9
- 2mo ago First seen · 84 lines · 4,115 tokens per session scan A 05d3de07d96a
mcp-server AGENTS.md is an instructions file published in the GitHub repository madelponte/mcp-server (0 stars, last pushed today), licensed MIT. It adds 5,727 tokens to every session, about $0.0229 per session on Opus 5.5. 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.
mcp-server AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-server AGENTS.mdmadelponte/mcp-server | Instructions file | 0 | today | MIT | A | 5,727 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |