Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/pspdfkit/nutrient-pdf-mcp-server/claude-mdgit clone --depth 1 https://github.com/PSPDFKit/nutrient-pdf-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/pspdfkit/nutrient-pdf-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/pspdfkit/nutrient-pdf-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/pspdfkit/nutrient-pdf-mcp-server/claude-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 | $0.00758 | $0.00758 |
| Opus 5 | $0.00379 | $0.00379 |
| Sonnet 5 | $0.00152 | $0.00152 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
nutrient-pdf-mcp-server 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 3d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nutrient PDF MCP Server - Claude Memory
Project Overview
This is the Nutrient PDF MCP Server, a Model Context Protocol (MCP) server for investigating PDF object trees with lazy loading support. The server allows LLMs to explore PDF structure efficiently by providing selective resolution of indirect objects and path-based navigation.
Key Features
- Lazy Loading: Only resolves indirect objects on demand to reduce token usage
- Path Navigation: Supports dot notation paths like
Pages.Kids.0for drilling down - Two Resolution Modes: Shallow (single object) and deep (with dependencies)
- Type Safety: Comprehensive TypedDict definitions for all PDF objects
- Error Handling: Custom exception hierarchy with detailed error messages
Architecture
pdf_mcp/server.py- Main MCP server with two toolspdf_mcp/parser.py- Core PDF parsing logic with pypdf integrationpdf_mcp/types.py- Type definitions for PDF objects and responsespdf_mcp/exceptions.py- Custom exception hierarchy
MCP Tools
- get_pdf_object_tree - Get JSON representation of PDF structure
- Parameters: pdf_path, mode (lazy/full), path (optional), object_id (optional)
- resolve_indirect_object - Resolve specific indirect objects by ID
- Parameters: pdf_path, object_id, depth (shallow/deep)
Development
- Python 3.10+ required (for MCP library pattern matching)
- Use
makecommands for common tasks:make test- Run test suite (64 tests)make test-cov- Run tests with coverage analysismake quality- Run all quality checks (format, lint, type check, test)make format- Auto-format code with black/isortmake lint- Check code with ruffmake typecheck- Type check with mypy
Quality Standards
- 76% test coverage with comprehensive test suite
- Full type checking with mypy (custom overrides for pypdf interactions)
- Modern Python syntax (union types with |, lowercase builtins)
- Code formatting with black, isort, ruff
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.
- 3d ago First seen · 86 lines · 758 tokens per session scan A 2539b416adce
nutrient-pdf-mcp-server CLAUDE.md is an instructions file published in the GitHub repository PSPDFKit/nutrient-pdf-mcp-server (4 stars, last pushed 10d ago), licensed MIT. It adds 758 tokens to every session, about $0.0038 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
PDF-Tools AGENTS.md
AGENTS.md instructions for Open-Document-Alliance/PDF-Tools, covering repository guidelines, active kepano / shannon work, project structure & module organization, tools currently shipped and build, test, and development commands.
PDF-Tools CLAUDE.md
Claude Code instructions for Open-Document-Alliance/PDF-Tools, covering pdf toolkit mcp - development guide, active kepano / shannon work, project overview, key features and technical architecture.
docs-to-pdf CLAUDE.md
Claude Code instructions for jean-humann/docs-to-pdf, covering claude development guide for docs-to-pdf, project overview, development environment setup, using mise (recommended) and install mise (if not already installed).
PDF-Writer CLAUDE.md
Instructions for galkahana/PDF-Writer, covering claude code context - pdf-writer development guide, project overview, coding standards discovered, project structure and key components.
autorename-pdf CLAUDE.md
Instructions for ptmrio/autorename-pdf, covering autorename-pdf, development setup, source venv/bin/activate # linux/macos, commands and ai tool integration.
pdfnative-mcp AGENTS.md
Instructions for Nizoka/pdfnative-mcp, covering agents.md — pdfnative-mcp, 1. tool catalogue (28 tools), 2. decision tree, 3. token-frugal responses and 4. output modes & environment.