K

Kiwamizamurai MCP Kibela Server

The Kibela MCP Server integrates with the Kibela API, enabling LLMs to interact with Kibela content, supporting note search, retrieval of the latest notes, and note content and comments.
2 points
10

What is the Kibela MCP Server?

The Kibela MCP Server is a bridge service that connects the Kibela knowledge base with large language models (LLMs), allowing AI assistants to directly search, read, and interact with the content of your Kibela documents.

How to use the Kibela MCP Server?

You can integrate the service into AI development environments such as Claude or Cursor through simple configuration, enabling AI assistants to directly query your Kibela knowledge base.

Applicable scenarios

It is suitable for scenarios where AI assistants need to access the team's knowledge base, such as technical document queries, internal process consultations, and historical problem tracing.

Main Features

Document SearchSearch for documents in Kibela by keywords and return the titles, IDs, and links of the matching results.
Get Personal NotesGet a list of the user's recently edited notes, and you can specify the number to retrieve.
Get Document DetailsGet the complete content and relevant comments of the specified document.

Advantages and Limitations

Advantages
Seamlessly connect AI assistants with the team's knowledge base
Support the complete retrieval of document content and comments
Quickly deploy with simple configuration
Limitations
Require valid Kibela API access permissions
Currently only support basic document operation functions

How to Use

Prepare Environment Variables
Set two necessary environment variables, KIBELA_TEAM (team name) and KIBELA_TOKEN (API token).
Claude Desktop Integration
Add server configuration to claude_desktop_config.json.
Cursor Integration
Add server settings to Cursor's configuration file.

Usage Examples

Technical Document QueryAI assistants help developers quickly find relevant technical specifications.
Meeting Record ReviewQuickly find previous meeting decision records.

Frequently Asked Questions

How to get a Kibela API token?
Which AI development environments does the service support?
Which query syntax does the search function support?

Related Resources

Official MCP Protocol Documentation
Official guide for the Model Context Protocol
MCP Quick Start Resources
Various examples and resources for the MCP protocol
Cursor's MCP Support Documentation
Explanation of Cursor's implementation of the MCP protocol
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "kibela": {
      "command": "npx",
      "args": ["-y", "@kiwamizamurai/mcp-kibela-server"],
      "env": {
        "KIBELA_TEAM": "your-team",
        "KIBELA_TOKEN": "your-token"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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