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  3. io.github.Dankaro-projects/shelfmark
MCP server · RAG

io.github.Dankaro-projects/shelfmark

· github.com/Dankaro-projects/shelfmark

Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

Unclaimed rag
InstallView source
37Low

Scored 2 months ago · breakdown

About io.github.Dankaro-projects/shelfmark

io.github.Dankaro-projects/shelfmark is an MCP server in the RAG category: local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

Install

uvx
uvx shelfmark
pip
pip install shelfmark

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

browse_folder(prefix)What is inside a folder: counts, sizes, facet mix.

Parameters not published.

corpus_stats()What is here overall + an honest freshness line. Call first.

Parameters not published.

get_file(path)Full record for one file: rights, authorship, slide titles, identical copies, on-disk status.

Parameters not published.

search_docs(query, …)Metadata full-text search with facet filters.

Parameters not published.

search_emails(query, …)Full-text over an ingested .pst/.msg email archive (optional).

Parameters not published.

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Security checks

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Questions

About io.github.Dankaro-projects/shelfmark

How do I install io.github.Dankaro-projects/shelfmark?

Run uvx shelfmark, then add the server to your MCP client's configuration.

Is io.github.Dankaro-projects/shelfmark safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.Dankaro-projects/shelfmark still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.