RAG LangGraph MCP Server (andresjmnz92-jpg/rag-langgraph) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

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C
Emerging
74/100
12 days ago

RAG LangGraph MCP Server

Exposes a RAG agent built with LangGraph, enabling retrieval-augmented question answering over a PostgreSQL/pgvector corpus via the MCP protocol.

→ andresjmnz92-jpg/rag-langgraph· 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.

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Who stands behind it

andresjmnz92-jpg

Source: Glama

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Glama

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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.
🔐
You'll be asked for 1 credential: POSTGRES_PASSWORD
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.
configMAX_VUELTASThe loop is off in both runs (=1). It is already measured as useless (#4), and it
configTOP_KSame corpus, same prompt, same 20 questions. Only changed:
configMODELOTwo environment switches, and the writer is the only thing that changes: picks the model,
configMODELO_URLpoints at Ollama — which speaks the OpenAI protocol. buscar, the corpus and the
configPOSTGRES_DBThen, with POSTGRES_USER, POSTGRES_PASSWORD and in a local .env:
configPOSTGRES_USERThen, with , POSTGRES_PASSWORD and POSTGRES_DB in a local .env:
🔐 secretPOSTGRES_PASSWORDThen, with POSTGRES_USER, and POSTGRES_DB in a local .env:
// 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

1/1 tools missing one or more hints — buscar_hipaa (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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

Only 0/1 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

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 4 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/andresjmnz92-jpg-rag-langgraph-15r5rx)](https://m8ven.ai/mcp/andresjmnz92-jpg-rag-langgraph-15r5rx)
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commit: e19745815fcb243634a596f27b9e754a05fbb0b4
code hash: 5e7a0691300f01726f2349240d40b23ea406af9671bedadb3f96a0ebcdc8a803
verified: 8/17/2026, 3:19:32 AM
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