Knowledge Base MCP Server

Item: Knowledge Base MCP Server
Rating: 52
Author: M8ven

Provides semantic search over a self-building personal technical knowledge base that automatically collects and distills content from GitHub Trending, AI news, and arXiv.

→ zhengr/knowledge-base · listed on 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.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

⚠️

Tool descriptions don’t match what handlers do

1 tool describes read intent but its handler mutates — search_kb (line 185: result = subprocess.run(cmd, capture_output=True, text=True, timeout=15))

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 2 credentials: LLM_API_KEY, MCP_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.

configLLM_API_BASE

🔐 secretLLM_API_KEY

configLLM_MODEL— gpt-4o-mini

configKB_TRANSPORT— http http / sse / stdio

configKB_HOST— 0.0.0.0 Bind address

configKB_PORT— 8000 Listen port

🔐 secretMCP_AUTH_TOKEN— _(empty)_ If set, requires Authorization: Bearer <token>

// 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 7 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/zhengr-knowledge-base-1sr9py)](https://m8ven.ai/mcp/zhengr-knowledge-base-1sr9py)

commit: f27b80a7b07c2b203e4dda046c1d4d70d95c4824

code hash: 7f96332124bbbf5ea9d33c3fa4ed68082537ad9799a38ed7a508c067c93333ce

verified: 7/21/2026, 9:24:09 AM

view raw JSON →