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Kibela MCP Server

by MCP-Mirror

IntegrationKibelaAPIIntegration

This is an MCP server implementation for Kibela API integration. It enables Large Language Models (LLMs) to interact with and retrieve information from Kibela content.

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What is Kibela MCP Server?

The Kibela MCP Server is a bridge between Kibela, a knowledge sharing platform, and Large Language Models (LLMs) using the Model Context Protocol (MCP). It allows LLMs to access and utilize information stored within Kibela.

How to use Kibela MCP Server?

To use this server, you need to configure it with your Kibela team name and API token as environment variables. The README provides configuration examples for Claude Desktop and Cursor. You then integrate the server into your LLM workflow using the specified command and arguments.

Key features of Kibela MCP Server

  • Search notes

  • Get your latest notes

  • Get note content and comments

  • Integration with Claude Desktop and Cursor

Use cases of Kibela MCP Server

  • Retrieving specific information from Kibela notes using LLMs

  • Summarizing Kibela content with LLMs

  • Answering questions based on Kibela knowledge base

  • Integrating Kibela content into LLM-powered applications

FAQ from Kibela MCP Server

What is KIBELA_TEAM?

Your Kibela team name. This is required for the server to connect to your Kibela instance.

What is KIBELA_TOKEN?

Your Kibela API token. This is required for the server to authenticate with the Kibela API.

How do I get a Kibela API token?

Refer to the Kibela documentation for instructions on generating an API token.

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows LLMs to access external resources and information. See https://modelcontextprotocol.info/introduction for more details.

Where can I find more information about Cursor integration?

See https://docs.cursor.com/advanced/model-context-protocol for more details about Cursor integration.