Borrowing it
Nothing to install: this file belongs to johannhartmann/mcpcodeanalysis. 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/johannhartmann/mcpcodeanalysis/main/CLAUDE.mdgit clone --depth 1 https://github.com/johannhartmann/mcpcodeanalysisWrote 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/johannhartmann/mcpcodeanalysis/claude-md)<a href="https://agentmods.dev/instructions/johannhartmann/mcpcodeanalysis/claude-md"><img src="https://agentmods.dev/badge/instructions/johannhartmann/mcpcodeanalysis/claude-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/johannhartmann/mcpcodeanalysis/claude-md"><img src="https://agentmods.dev/badge/instructions/johannhartmann/mcpcodeanalysis/claude-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 | $0.02731 | $0.02731 |
| Opus 5.5 | $0.01092 | $0.01092 |
| Sonnet 5.5 | $0.00546 | $0.00546 |
| Haiku 4.5 | $0.00273 | $0.00273 |
Grade A, and why
mcpcodeanalysis 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 2mo 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 — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Code Analysis Server - Complete Guide
Project Overview
This is a production-ready MCP (Model Context Protocol) server that provides intelligent code analysis and search capabilities for large codebases. It uses TreeSitter for parsing, PostgreSQL with pgvector for storage, and OpenAI embeddings for semantic search.
The server implements the Model Context Protocol, making it compatible with Claude Desktop, custom clients, and any MCP-compatible application. It provides comprehensive code analysis including semantic search, dependency analysis, domain-driven design extraction, and advanced refactoring suggestions.
Development Environment
- Uses Nix flakes with uv for Python dependency management
- Python 3.11 environment
- PostgreSQL with pgvector extension
- Docker Compose for deployment
- Use the nix develop environment to execute python
Key Commands
nix develop- Enter development shelluv sync- Sync Python dependenciesdocker-compose up- Start PostgreSQL and run serverpytest- Run testsruff check .- Run lintermypy .- Type checkingblack .- Format codeviberdash monitor --interval 300- Monitor code quality metrics (updates every 5 minutes)
Project Structure
├── src/
│ ├── scanner/ # Code scanning module
│ ├── parser/ # TreeSitter parsing
│ ├── embeddings/ # OpenAI embedding generation
│ ├── mcp_server/ # FastMCP server implementation
│ ├── query/ # Query processing
│ └── database/ # PostgreSQL models and migrations
├── tests/ # Test suite
├── config.yaml # Configuration file
├── docker-compose.yml # Docker services
├── pyproject.toml # Python project config
└── flake.nix # Nix development environment
Core Components
1. Scanner Module (src/scanner/)
- Scans directories for Python files
- Uses Git for change tracking
- Implements incremental indexing
- Respects exclude patterns from config.yaml
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.
- 2mo ago First seen · 406 lines · 2,731 tokens per session scan A ebb828535352
mcpcodeanalysis CLAUDE.md is an instructions file published in the GitHub repository johannhartmann/mcpcodeanalysis (10 stars, last pushed 1y ago), licensed MIT. It adds 2,731 tokens to every session, about $0.0109 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.
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