Borrowing it
Nothing to install: this file belongs to wadearnold/mcp-document-markdown. 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/wadearnold/mcp-document-markdown/main/CLAUDE.mdgit clone --depth 1 https://github.com/wadearnold/mcp-document-markdownWrote 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/wadearnold/mcp-document-markdown/claude-md)<a href="https://agentmods.dev/instructions/wadearnold/mcp-document-markdown/claude-md"><img src="https://agentmods.dev/badge/instructions/wadearnold/mcp-document-markdown/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 5.1 | $0.00847 | $0.00847 |
| Opus 5 | $0.00424 | $0.00424 |
| Sonnet 5 | $0.00169 | $0.00169 |
| Haiku 4.5 | $0.00085 | $0.00085 |
Grade A, and why
mcp-document-markdown 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 6d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Document Markdown - Claude Agent Instructions
Core Purpose
This MCP server exists solely to convert human-readable structured data formats (PDF, DOCX) into AI agent consumable content. The conversion process transforms complex documents into organized, navigable reference material that enables better agent reasoning about the original content.
Critical Understanding
The output is NEVER intended for human consumption. All generated content is designed exclusively for AI agents to process, analyze, and reference. YOU, Claude, are the primary user of this converted content.
Key Benefits for Agent Reasoning
Document Structure Preservation
- Hierarchical section organization with clear navigation paths
- Cross-reference mapping for understanding document relationships
- Table extraction in both markdown and JSON formats for structured analysis
- Terminology extraction and concept mapping for domain understanding
Context Window Optimization
- Smart chunking into multiple token sizes (3.5K, 8K, 32K, 100K)
- Section-based organization preventing context overflow
- Structured summaries at multiple levels (executive, technical, detailed)
- Precise file organization for targeted content retrieval
Enhanced Reasoning Capabilities
- Clean, structured markdown format eliminates extraction noise
- Preserved semantic relationships between document sections
- Extracted domain terminology with definitions for accurate understanding
- Table data available in JSON format for computational analysis
Output Distinction - Critical Understanding
MCP Server Responses (Human-Readable)
The MCP server response messages are read by humans using MCP clients and should be:
- Informative with emojis and formatting for readability
- Include processing statistics and success/error messages
- Provide clear file navigation guidance
- Explain what was accomplished during conversion
Converted Content Files (Agent-Only)
The actual converted content in output directories is exclusively for AI agents and should be:
- Clean, structured markdown without decorative elements
- No emojis or human-oriented formatting
- No training prompts or setup instructions
- Pure content with precise navigation structure
- Machine-readable data formats (JSON for tables, metadata)
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.
- 6d ago First seen · 92 lines · 847 tokens per session scan A 7047644f00a0
mcp-document-markdown CLAUDE.md is an instructions file published in the GitHub repository wadearnold/mcp-document-markdown (5 stars, last pushed 1y ago), licensed Apache-2.0. It adds 847 tokens to every session, about $0.0042 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.
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