wiki-rag-mcp

Item: wiki-rag-mcp
Rating: 69
Author: M8ven

Enables searching enterprise wiki content via vector embeddings, using Qdrant for storage and FastMCP for SSE-based tool exposure.

→ petesouth/ai-realtime-wiki-ingestor · listed on 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: AUTH_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configWIKI_TYPE— Target wiki engine (mediawiki or confluence, default: mediawiki)

configWIKI_URL— Base URL of the wiki API (default: https://en.wikipedia.org/w)

🔐 secretAUTH_TOKEN— Bearer token or API key if authentication is required (e.g., Confluence)

configQDRANT_HOST— Vector database hostname (default: vector-db)

configQDRANT_PORT— Vector database port (default: 6333)

configEMBED_MODEL_URL— Base URL for generating vector embeddings (default: http://host.docker.internal:1234/v1)

// 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 5 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/petesouth-ai-realtime-wiki-ingestor-1tb28l)](https://m8ven.ai/mcp/petesouth-ai-realtime-wiki-ingestor-1tb28l)

commit: f67f09e2de1ea620f67e89252f1bcbbf5bcebfc7

code hash: 9e5d9a1b94f44b93bed7ff85fec20d1e6c9d27d08d7811e514a73b2f9f7f9547

verified: 7/30/2026, 8:52:56 AM

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