Changerawr MCP Server

The Changerawr MCP server bridges the gap between AI assistants and a full‑featured changelog platform. By exposing an MCP interface, it lets Claude (or any compliant assistant) perform complex project and release‑management tasks through natural language. Instead of manually logging into a web dashboard, developers can issue conversational commands and receive immediate feedback or updates, dramatically accelerating iteration cycles.

At its core, the server offers a suite of project‑management tools: listing, creating, updating, and deleting projects; configuring visibility, auto‑publish behavior, and approval workflows. For each project, the assistant can manipulate changelog entries—drafting new releases, publishing or unpublishing them, and tagging with semantic labels. The rich‑text support for Markdown lets writers embed images, tables, or code snippets directly in the changelog, while versioning and tagging keep releases organized and searchable.

Beyond CRUD operations, the MCP server provides analytics endpoints that surface dashboard statistics, recent activity, and project health metrics. These insights can be woven into a conversational workflow—for example, asking the assistant to “show me the latest churn metrics for Project X” and having it return a concise summary. Tag management is also exposed, allowing fine‑grained categorization of entries per project and easy retrieval through filtered queries.

For developers, this server eliminates the need to write custom integrations or scripts for routine release tasks. In a CI/CD pipeline, an AI assistant can automatically create and publish changelog entries after a successful build, or pull analytics to inform release notes. In a product‑management context, stakeholders can ask the assistant for a quick rundown of pending releases or project settings without navigating a UI. The combination of 22 dedicated tools, robust authentication via API keys, and seamless integration with Claude Desktop makes the Changerawr MCP server a powerful ally for teams that want to keep documentation, releases, and analytics tightly coupled with conversational AI.