What tools does Kibela MCP Server provide?
It provides over 12 tools including kibela_search_notes, kibela_get_note_content, kibela_like_note, kibela_get_groups, kibela_get_users, and more.
@kiwamizamurai
Basic information
MCP server implementation for Kibela API integration
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"kibela": {
"command": "npx",
"args": [
"-y",
"@kiwamizamurai/mcp-kibela-server"
],
"env": {
"KIBELA_TEAM": "YOUR_TEAM_NAME",
"KIBELA_TOKEN": "YOUR_TOKEN"
}
}
}
}Tool list not available yet
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An MCP server that integrates with the Kibela API, allowing LLMs to search, read, and manage notes, groups, and folders within a Kibela team workspace. It is designed for developers and teams who use Kibela as a knowledge base and want AI assistants to access that content.
Configure via environment variables KIBELA_TEAM and KIBELA_TOKEN, then add the server configuration to your MCP client (e.g., Cursor's ~/.cursor/mcp.json). Run it using npx -y @kiwamizamurai/mcp-kibela-server, a Docker container, or from source after cloning and installing dependencies.
It provides over 12 tools including kibela_search_notes, kibela_get_note_content, kibela_like_note, kibela_get_groups, kibela_get_users, and more.
It requires a Kibela team name (`KIBELA_TEAM`) and a Kibela API token (`KIBELA_TOKEN`) set as environment variables.
It can be run via npx (`npx -y @kiwamizamurai/mcp-kibela-server`), via Docker, or from source by cloning the repository and running the compiled JavaScript.
The README documents a stdio transport (used by default) and notes that for SSE transport the server URL should be set to `http://localhost:3000/sse`.
Yes, it includes explicit configuration for Cursor's MCP integration via the `~/.cursor/mcp.json` file, using either npx or Docker.
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