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MCP Context Graph

A self-contained, in-memory graph database for AI Agents. Provides semantic code understanding through the Model Context Protocol (MCP).

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: OPENROUTER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretOPENROUTER_API_KEYyour-key uv run python benchmarks/run_benchmarks.py /path/to/project
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/padobrik-mcp-context-graph-18vtvu)](https://m8ven.ai/mcp/padobrik-mcp-context-graph-18vtvu)
commit: 30614144ecb6fa2ff95233926ac20c3a0be944d8
code hash: 81546143df238bf2836b3fc99ea54be9a4a014010668f8b27f3651f3e8839afa
verified: 6/23/2026, 10:35:21 AM
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