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13 days ago
glama

doctree-mcp

Enables agentic document retrieval over markdown, CSV, and JSONL using BM25 and tree navigation, without vector databases or embeddings, allowing AI agents to search, browse, and retrieve structured document sections.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCSV_MAX_TEXT_LENGTH
configDOCS_GLOB/.md Comma-separated globs (/.md,/.csv,/.jsonl)
configDOCS_ROOT"env": { "": "./docs", "WIKI_WRITE": "1" }
configGLOSSARY_PATH$DOCS_ROOT/glossary.json Query-expansion glossary
configLINT_MIN_WORDS
configMAX_DEPTH
configPORT3100 HTTP mode port
configSUMMARY_LENGTH
configWIKI_DUPLICATE_THRESHOLD
configWIKI_ROOT
configWIKI_WRITE"env": { "DOCS_ROOT": "./docs", "": "1" }
// 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 6 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/joesaby-doctree-mcp-1mtgqn)](https://m8ven.ai/mcp/joesaby-doctree-mcp-1mtgqn)
commit: 1755742e78e5e5c80dca43dc76b52ee2a270b96e
code hash: aa1415f33becda2723a3471f5e8ebd8b3426e04c5d84a363506fcc0a27be60f2
verified: 7/18/2026, 8:06:35 AM
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