Cosense MCP Server

Overview

The Yosider Cosense MCP Server is a lightweight, Node.js‑based bridge that connects Claude and other AI assistants to the Cosense platform. By exposing a simple “Get Page” capability, it allows an AI client to request and retrieve the contents of any page stored within a Cosense project. This solves a common pain point for developers: the lack of a standardized, machine‑readable interface to pull content from Cosense without writing custom scripts or dealing with HTTP authentication. With MCP, the server presents a declarative API that can be discovered and invoked automatically by an assistant, turning static project pages into dynamic data sources.

For developers building AI‑powered tools or workflows, the server’s value lies in its seamless integration with existing MCP tooling. An assistant can ask for a page, receive the raw HTML or structured JSON, and then feed that output into downstream processes such as content generation, summarization, or transformation. Because the server communicates over standard input/output, it can run as a child process from any host application—whether that’s Claude Desktop, a custom web UI, or an automated CI pipeline. This eliminates the need for separate REST endpoints or OAuth setups, simplifying deployment and reducing operational overhead.

Key features of the Cosense MCP Server include:

• Single‑command discovery: The server advertises a tool that accepts a page identifier and returns the page content.
• Environment‑driven configuration: Project name, SID, and other parameters are injected via environment variables, allowing the same binary to serve multiple projects or private instances without code changes.
• Built‑in debugging support: The optional MCP Inspector can be launched from the same script, providing real‑time visibility into requests and responses.
• Zero‑dependency runtime: Once built, the server is a plain Node.js script that can be executed on any platform supporting .

Typical use cases include:

• Content generation pipelines: An assistant pulls the latest page, generates a summary or translation, and writes the result back to Cosense.
• Automated QA: Test scripts request pages, run assertions on structure or text, and report failures to a CI system.
• Interactive chatbots: Users ask the assistant for specific pages; the bot retrieves and displays them inline, enabling knowledge‑base access without leaving the chat.

Because Cosense is a collaborative design and documentation platform, having an MCP server that can expose its pages to AI assistants unlocks a new class of applications—interactive documentation helpers, dynamic tutorials, and automated compliance checks—all without modifying the core Cosense codebase. The Yosider Cosense MCP Server therefore bridges the gap between static project content and intelligent automation, making AI workflows more powerful and developer‑friendly.