code-rag-mcp (qduc/code-rag) is an MCP server listed on the M8ven Trust Index. It scores 73 out of 100, grade C. It declares 2 tools. No publisher has claimed this listing.

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C
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73/100

code-rag-mcp

Enables semantic search over codebases using natural language queries, returning relevant code snippets with source locations. Integrates with Claude Code for automatic codebase exploration.

→ qduc/code-rag· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

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Who stands behind it

qduc

Source: Glama

Is this your MCP?

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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.
🔐
You'll be asked for 3 credentials: OPENAI_API_KEY, AZURE_API_KEY, COHERE_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configUV_TOOL_DIR
configVIRTUAL_ENV
configCONDA_PREFIX
🔐 secretOPENAI_API_KEYtext-embedding-3-small - OpenAI embeddings, no GPU required (requires )
🔐 secretAZURE_API_KEYAzure OpenAI azure/text-embedding-3-small , AZURE_API_BASE, AZURE_API_VERSION
🔐 secretCOHERE_API_KEYCohere cohere/embed-english-v3.0
configAWS_ACCESS_KEY_IDAWS Bedrock bedrock/amazon.titan-embed-text-v1 , AWS_SECRET_ACCESS_KEY, AWS_REGION_NAME
configCODE_RAG_DATABASE_TYPE"": "chroma",
configCODE_RAG_DATABASE_PATH
configCODE_RAG_EXCLUDE_TESTS
configCODE_RAG_ADDITIONAL_IGNORE_PATTERNSexport =".tmp,.bak,logs/"
configCODE_RAG_RERANKER_MULTIPLIER
configCODE_RAG_LOG_LEVEL
configCODE_RAG_CONFIG_FILE2. Custom config file via environment variable
configXDG_CACHE_HOME
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

2/2 tools missing one or more hints — call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_codebase (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// 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.
// 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/qduc/code-rag)](https://m8ven.ai/mcp/qduc/code-rag)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 64702dbdf4d585cf36e0a41a11080a8ce31d06e4
code hash: 5a7f8370d7a03c89ee909ff1f8ae8c8f3699446f413a1716997b1786d97dd2ec
view raw JSON →
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