Borrowing it
Nothing to install: this file belongs to sandraschi/pdf-mcp. 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/sandraschi/pdf-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/sandraschi/pdf-mcpWrote 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/sandraschi/pdf-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/pdf-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/pdf-mcp/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/sandraschi/pdf-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/pdf-mcp/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 | $0.00805 | $0.00805 |
| Opus 5.5 | $0.00322 | $0.00322 |
| Sonnet 5.5 | $0.00161 | $0.00161 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
pdf-mcp 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 1mo 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pdf-mcp — Agent Navigation
Reading order
SPEC.md— Full spec, architecture, and the Intelligence 2.0 feature setpdf_mcp/server.py— Entry point, FastMCP app, Starlette HTTP + REST APIpdf_mcp/tools/— Portmanteau tool modules (extract, manipulate, annotate, forms, convert, validate, rag, intel, agent, meta)pdf_mcp/services/— Core engines (Extractor, Manipulator, Converter, Chunker, RagStore, Intel, Llm)webapp/src/pages/— React pages (Dashboard, Workbench, Pipeline, Chat, Tools, Skills, Logs)
Key files
| File | Purpose |
|---|---|
run_server.py |
Dual-transport entry point (stdio / HTTP) |
pdf_mcp/server.py |
FastMCP app, Starlette HTTP app, REST endpoints, recipes, watch-folder, share links, stats |
pdf_mcp/config.py |
Env-based configuration |
pdf_mcp/tools/__init__.py |
Tool module registration |
pdf_mcp/tools/agent.py |
pdf_do agentic chaining tool |
pdf_mcp/tools/intel.py |
pdf_analyze, pdf_redact, pdf_classify, pdf_dedupe, pdf_export |
pdf_mcp/tools/meta.py |
pdf_help, pdf_status, pdf_shutdown |
pdf_mcp/services/intel.py |
Analyzer, Redactor, Classifier, Deduper, BriefBuilder |
pdf_mcp/services/llm.py |
Local LLM discovery + chat completions (Ollama / LM Studio) |
pdf_mcp/services/extractor.py |
PyMuPDF text/image/table/metadata extraction |
pdf_mcp/services/manipulator.py |
pypdf merge/split/rotate/compress/encrypt |
pdf_mcp/services/converter.py |
PDF to/from Markdown/HTML/images |
pdf_mcp/services/chunker.py |
Text chunking strategies (incl. table-aware) |
pdf_mcp/services/rag_store.py |
LanceDB vector store wrapper |
webapp/src/App.tsx |
React router + lazy-loaded pages |
webapp/src/pages/Dashboard.tsx |
KPI dashboard + usage stats panel |
webapp/src/pages/Workbench.tsx |
PDF.js viewer + tool palette + compare mode |
webapp/src/pages/Pipeline.tsx |
Batch jobs + recipes + share links |
webapp/src/pages/Chat.tsx |
LLM chat + PDF search / sources panel |
webapp/src/lib/api.ts |
Fetch layer (REST + RAG search + share + stats) |
webapp/src/lib/store.ts |
Zustand store (backend + LLM provider/model state) |
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.
- 1mo ago First seen · 48 lines · 805 tokens per session scan A b3d5b0dbbfeb
pdf-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/pdf-mcp (1 stars, last pushed 3d ago), licensed MIT. It adds 805 tokens to every session, about $0.0032 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.
Other instructions, from other repositories
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.