Cosense MCP Server

Cosense MCP Server Overview

Cosense is a collaborative knowledge‑base platform where teams write and maintain documentation, wikis, and project notes. The Cosense MCP Server bridges this platform to AI assistants by exposing a set of high‑level tools that let an assistant read from and write to Cosense pages in a controlled, authenticated manner. The server solves the problem of seamless, secure integration between AI workflows and an existing knowledge base, eliminating the need for custom scrapers or API wrappers.

At its core, the server implements four intuitive operations. fetches a page by title, allowing an assistant to pull content for analysis or summarization. enumerates all pages within a project, enabling discovery and navigation of the knowledge base. performs text‑based queries across page contents, which is useful for locating relevant information quickly. Finally, lets the assistant append new text after a specified line, providing a straightforward way to update documentation or add comments. Together these tools give developers a minimal yet complete interface for interacting with Cosense, while keeping the implementation simple and well‑documented.

Developers using AI assistants benefit from several key features. The server requires only two environment variables—project name and session ID—to authenticate securely; the session ID grants read/write access to private pages, ensuring that sensitive data remains protected. The flag toggles verbose logging in development mode, making debugging easier without exposing logs in production. Because the server runs over standard input/output, it can be launched from any MCP client configuration, whether via npm or a direct source build. This flexibility allows teams to integrate the server into existing CI/CD pipelines, local development setups, or cloud‑hosted AI agents.

Typical use cases include automating documentation updates, generating meeting notes directly into a shared knowledge base, or building AI‑powered search assistants that surface relevant Cosense pages in real time. For example, a developer might ask an AI assistant to “summarize the latest sprint plan” and have it retrieve the page, generate a concise summary, and insert it as a new line in the sprint document. In research settings, an assistant could search for all pages containing a specific keyword and compile a list for review. The server’s simple command interface makes these scenarios straightforward to script or embed in larger AI workflows.

What sets the Cosense MCP Server apart is its focus on security, simplicity, and integration. By leveraging Cosense’s existing session authentication, it avoids exposing raw API keys or creating new credential systems. Its toolset is intentionally small yet expressive, reducing cognitive load for developers while still covering the most common interactions. The ability to run the server from a single npm command or directly from source gives teams immediate, reproducible access across environments. Together, these advantages make the Cosense MCP Server a practical choice for any project that wants to enrich its AI assistants with direct, authenticated access to a collaborative knowledge base.