Kibela MCP Server

Overview

The Kibela MCP Server bridges the gap between AI assistants and the Kibela knowledge‑management platform by exposing a GraphQL‑based API that LLMs can query directly. It solves the common developer pain point of integrating internal documentation, notes, and collaborative spaces into conversational agents without writing custom adapters. By reverse‑engineering Kibela’s GraphQL schema, the server automatically generates a rich set of tools that mirror native Kibela operations, allowing assistants to search, retrieve, and manipulate content in real time.

Developers using AI assistants benefit from a single, well‑defined interface that handles authentication, pagination, and error handling. The server’s environment‑variable configuration ( and ) keeps credentials secure while enabling seamless deployment via npm or Docker. Once the MCP server is running, an LLM can invoke high‑level tools such as or , receiving structured JSON responses that can be directly rendered in chat UI, passed to downstream processing pipelines, or used for automated documentation generation.

Key capabilities include:

• Advanced note search with filters on co‑editing status, archive state, user IDs, and folder hierarchy.
• Content retrieval that returns full HTML, comments, attachments, and metadata in a single call.
• Group and folder management exposing privacy settings, permissions, and nested structures.
• User listing for collaborative workflows.
• Attachment handling that optionally embeds image data URLs, simplifying media integration.

Real‑world scenarios where this MCP shines include:

• Knowledge base bots that answer employee queries by pulling the most relevant Kibela notes.
• Automated meeting minutes summarization that fetches and updates notes in specific project folders.
• Collaborative drafting assistants that can like, comment on, or move notes across groups during brainstorming sessions.
• Compliance auditing tools that retrieve and archive all notes accessed within a given timeframe.

By integrating the Kibela MCP Server into an AI workflow, developers can extend conversational agents with robust content‑management capabilities, reduce maintenance overhead, and ensure that the assistant always reflects the latest state of the organization’s internal documentation.