Kibela MCP Server

The Kibela MCP Server bridges the gap between AI assistants and Kibela’s knowledge‑management platform, allowing large language models to read, search, and retrieve content from a team’s internal note repository. By exposing Kibela’s REST API through the Model Context Protocol, developers can embed rich, up‑to‑date knowledge directly into conversational workflows without exposing credentials or writing custom integration code.

At its core, the server offers three focused tools that mirror common Kibela use cases. The kibela_search_notes tool lets an assistant locate relevant notes based on a natural‑language query, returning concise metadata such as note IDs, titles, and URLs. The kibela_get_my_notes tool surfaces a user’s most recent entries, supporting optional pagination through a parameter. Finally, kibela_get_note_content fetches the full HTML body and recent comments for a specific note, enabling contextual explanations or summarizations. These capabilities make it trivial to surface internal documentation, meeting minutes, or project updates during a chat session.

For developers building AI‑powered workflows, the server’s integration path is straightforward. It can be launched via a single command and configured with environment variables for the team name and API token. Once registered, any MCP‑compliant client—such as Claude Desktop or Cursor—can invoke the tools with a simple JSON payload. The server’s SSE support also allows real‑time streaming of results, which is useful for long-running searches or continuous monitoring of new notes.

The value proposition extends beyond basic retrieval. By centralizing Kibela access behind a single, well‑documented protocol, teams avoid duplicated authentication logic and reduce security risk. The server also standardizes the output format across tools, ensuring consistent handling in downstream applications like knowledge‑graph builders or content summarizers. In practice, this means a developer can quickly prototype an AI assistant that pulls the latest sprint notes into a chat, or build a compliance bot that surfaces policy documents on demand—all without writing bespoke API wrappers.

In summary, the Kibela MCP Server turns an otherwise siloed knowledge base into a first‑class AI resource. Its lightweight, protocol‑driven design empowers developers to enrich conversational agents with live, contextual information from Kibela, streamlining knowledge discovery and boosting productivity across teams.