Borrowing it
Nothing to install: this file belongs to marc-hanheide/pdf-redaction-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/marc-hanheide/pdf-redaction-mcp/master/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/marc-hanheide/pdf-redaction-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/marc-hanheide/pdf-redaction-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/marc-hanheide/pdf-redaction-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/marc-hanheide/pdf-redaction-mcp/copilot-instructions.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 | $0.01540 | $0.01540 |
| Opus 5 | $0.00770 | $0.00770 |
| Sonnet 5 | $0.00308 | $0.00308 |
| Haiku 4.5 | $0.00154 | $0.00154 |
Grade A, and why
pdf-redaction-mcp copilot-instructions.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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Redaction MCP Server - AI Coding Instructions
Project Overview
A Model Context Protocol (MCP) server for PDF redaction using FastMCP 2.x and pymupdf. This server provides 11 tools for session-based PDF operations - load, extract, search, redact text/images, save, and manage documents in memory. Version 0.2.0.
Architecture
All tools register to a single mcp = FastMCP("PDF Redaction Server") instance at module level (server.py). Use @mcp.tool() decorator for all new tools.
Session-Based In-Memory Workflow
NEW in v0.2.0: Documents are loaded into memory once and operated on without repeated file I/O.
DOCUMENT_STOREdictionary: Mapsdocument_id->pymupdf.Documentobjects- Documents persist in memory across multiple operations
- Explicit
load_pdf()andsave_pdf()for I/O control - Use
close_pdf()to free memory when done
PDF Path Resolution
Only load_pdf() uses file paths. It uses resolve_pdf_path() to handle relative paths:
- If
--pdf-diris set, relative paths are resolved against it - Absolute paths are used as-is
- Global
PDF_BASE_DIRvariable stores the configured base directory
All other tools work with document_id instead of file paths.
Development Workflow
Environment Setup
# Install dependencies (uses UV package manager)
uv sync
# Run tests
uv run pytest
# Run server locally (STDIO mode - default)
uv run pdf-redaction-mcp
# Run server with different transports
uv run pdf-redaction-mcp --transport sse --port 8000
uv run pdf-redaction-mcp --transport http --host 0.0.0.0 --port 8080
# Run with custom PDF base directory
uv run pdf-redaction-mcp --pdf-dir /path/to/pdfs
# Combine options
uv run pdf-redaction-mcp --transport sse --port 8000 --pdf-dir ./documents
Testing Pattern
Tests in tests/test_server.py:
- Import functions directly from
pdf_redaction_mcp.servermodule - Handle FastMCP decoration:
if hasattr(fn, 'fn'): fn = fn.fn - Test error handling with non-existent document IDs (should return JSON with
"error"key) - No real PDF fixtures currently - tests focus on error handling and structure
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 · 198 lines · 1,540 tokens per session scan A 80db193873a6
pdf-redaction-mcp copilot-instructions.md is an instructions file published in the GitHub repository marc-hanheide/pdf-redaction-mcp (0 stars, last pushed 7mo ago), licensed MIT. It adds 1,540 tokens to every session, about $0.0077 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 2026-09-01.
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