kj455/mcp-kibela

Overview

An MCP server that lets AI assistants search and retrieve content from Kibela, a knowledge base platform. It is implemented in TypeScript and exposes Kibela data through the Model Context Protocol.

Best for

Best for
Teams using Kibela who want AI assistants to search their internal docs

Use cases

• Search Kibela knowledge base from an AI coding assistant
• Reference internal documentation during development workflows
• Integrate Kibela content into AI-powered chat or agent tools

How to use

Install

npx -y @smithery/cli install @kj455/mcp-kibela --client claude

Tested with

Claude Desktop, Cursor, VS Code

Example client config

{\n  "mcpServers": {\n    "mcp-kibela": {\n      "command": "docker",\n      "args": [\n        "run",\n        "-i",\n        "--rm",\n        "-e",\n        "KIBELA_TEAM",\n        "-e",\n        "KIBELA_TOKEN",\n        "ghcr.io/kj455/mcp-kibela:latest"\n      ],\n      "env": {\n        "KIBELA_TEAM": "your-team-name from https://[team-name].kibe.la",\n        "KIBELA_TOKEN": "your-token"\n      }\n    }\n  }\n}

Notes

An MCP server that lets AI assistants search and retrieve content from Kibela, a knowledge base platform. It is implemented in TypeScript and exposes Kibela data through the Model Context Protocol.

12 stars on GitHub. Last updated 2025-04-06. Licensed MIT.

Use cases

• Search Kibela knowledge base from an AI coding assistant
• Reference internal documentation during development workflows
• Integrate Kibela content into AI-powered chat or agent tools

Pros

• Simple, focused integration for Kibela users
• Lightweight TypeScript implementation
• Works with any MCP-compatible AI client

Cons

• Limited to Kibela, not a general knowledge base tool
• Small community and low star count may indicate limited support
• Requires running an MCP server alongside the AI assistant

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.