# Personal Knowledge-Base MCP Server

> Personal Knowledge-Base MCP Server — f6-zeppelinfellowship-knowledge-base-mcp-server. Use this tool when you need to efficiently search and manage large collections of personal documents using semantic search capabilities. It solves problems related to information retrieval and document organization, providing a multi-tenant environment for users to query their document corpora. The server accepts document uploads and query inputs, outputting relevant search results through a React dashboard or MCP client interface.

Canonical page: https://skillsregistry.net/skills/f6-zeppelinfellowship-knowledge-base-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/f6-zeppelinfellowship-knowledge-base-mcp-server

## Description

A FastMCP server and web app for multi-tenant semantic search over personal document corpora, backed by Qdrant vector search and supporting MCP clients and a React dashboard.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dp81b0mfq8)
- **Repository:** <https://github.com/F6-ZeppelinFellowship/Knowledge_Base-MCP_SERVER>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "f6-zeppelinfellowship-knowledge-base-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/f6-zeppelinfellowship-knowledge-base-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/f6-zeppelinfellowship-knowledge-base-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt