Open WebUI Knowledge Base MCP Server

Item: Open WebUI Knowledge Base MCP Server
Rating: 73
Author: M8ven

MCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.

→ RonasIT/open-webui-mcp-server-python · 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.

✅

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 2 credentials: OPEN_WEBUI_API_TOKEN, MCP_RATE_LIMIT_PER_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.

🔐 secretOPEN_WEBUI_API_TOKEN— export ="sk-your-token-here"

configMCP_RATE_LIMIT_PER_IP— Rate limit per IP (e.g., "1000/minute") 1000/minute

🔐 secretMCP_RATE_LIMIT_PER_TOKEN— Rate limit per token 1000/minute

configMCP_RATE_LIMIT_HEALTH— Rate limit for health endpoint 10/minute

configMCP_CORS_ORIGINS— Comma-separated CORS origins (empty = no CORS) Empty

configOPEN_WEBUI_API_URL— export ="https://your-open-webui-instance.com/api/v1"

configMCP_TRANSPORT— export ="http"

configMCP_HTTP_HOST— HTTP server host 0.0.0.0

configMCP_HTTP_PORT— export ="8001"

// 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 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/ronasit-open-webui-mcp-server-python-1jy2vw)](https://m8ven.ai/mcp/ronasit-open-webui-mcp-server-python-1jy2vw)

commit: 0ef853501effaba50013fd055b73296772789723

code hash: a4863be377890f39e80a747333a6f14c12e31001e8f1b0cebbda3586b45c1a6b

verified: 6/15/2026, 3:13:20 PM

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