# Kibela

> Use this tool when you need to integrate a knowledge management system with AI workflows, enabling automated documentation lookup and context-aware responses. It solves problems such as manual information retrieval and provides inputs like search queries and outputs like relevant note details and comments. Ideal for teams using Kibela, it streamlines AI-assisted knowledge management, allowing for seamless interaction with the collaborative documentation platform.

Canonical page: https://skillsregistry.net/skills/kiwamizamurai-kibela  
JSON: https://api.skillsregistry.net/v1/skills/kiwamizamurai-kibela

## Description

This MCP server, developed by kiwamizamurai, provides integration with the Kibela API for knowledge management. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for searching notes, retrieving recent content, and accessing note details including comments. The implementation focuses on enabling AI assistants to interact with Kibela's collaborative documentation platform, providing functionality to query and retrieve relevant information. It's particularly useful for teams using Kibela who want to integrate their knowledge base with AI workflows, enabling use cases such as automated documentation lookup, context-aware responses in chatbots, and AI-assisted knowledge management without directly navigating Kibela's web interface.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kiwamizamurai-kibela)
- **Repository:** <https://github.com/kiwamizamurai/mcp-kibela-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": "kiwamizamurai-kibela"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kiwamizamurai-kibela` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kiwamizamurai-kibela/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