shelfmark (LucasSantana-Dev/shelfmark) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it yet. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

shelfmark

Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.

→ LucasSantana-Dev/shelfmark· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

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Who stands behind it

LucasSantana-Dev

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configRAG_CODE_RERANKbge-reranker-v2-m3 for code scopes (+4.9pp, ~2.2GB)
configRAG_HOMEdata dir (index, sources.yaml)
configRAG_DB
configRAG_MODELembedding model
configRAG_DIMembedding model
configRAG_SOURCES
configRAG_PURPOSE_CHUNK
configRAG_CARD_ONLY
configRAG_CARD_PATHS
configRAG_BM25_WEIGHT>1 favors lexical match
configRAG_RECENCY_WEIGHT
configRAG_RERANK_MODEL
configRAG_RERANK_AUTOrerank weak/ambiguous queries
configRAG_RERANK_AUTO_THRESHOLD
configRAG_RERANK_AUTO_MARGIN
configRAG_HYBRID
configRAG_RERANK
configRAG_QLOGlocal query telemetry (powers report.py)
configRAG_SESSIONS_DIR
configRAG_EVAL_CWD_SCOPE
configRAG_EVAL_EXCLUDE_SYMBOL_LOOKUP
// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lucassantana-dev/shelfmark)](https://m8ven.ai/mcp/lucassantana-dev/shelfmark)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 2b69103268ce532cd45382b483589e46015a30f8
code hash: c66a46af4478877062a8c3e6d429957deca3e43806150ba86413adaf89298d60
view raw JSON →
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