DevRev MCP Server

DevRev MCP Server

The DevRev MCP Server bridges AI assistants with the full breadth of DevRev’s product management and engineering platform. By exposing a rich set of APIs through the Model Context Protocol, it lets Claude or other AI agents query, create, and update work items, enhancements, meetings, and sprint data—all without leaving the conversational interface. This eliminates the need for developers to manually invoke REST endpoints or write boilerplate code, enabling rapid prototyping and automated workflow orchestration directly from natural language commands.

At its core, the server offers a unified search and discovery tool that scans every namespace in DevRev—articles, tickets, parts, users, boards, and more—using a hybrid search engine. Developers can retrieve the current authenticated user, pull detailed vista (sprint board) information, and list meetings or subtypes with fine‑grained filtering. This makes it trivial to surface contextual data during an AI‑driven code review or project briefing, keeping the conversation tightly coupled to live system state.

For issue and ticket management, a comprehensive CRUD surface is provided. The , , , and tools let an assistant create new bugs, modify existing tickets, or list backlog items filtered by state, assignee, or date. Parts (enhancements) receive the same treatment through , , , and . The server also supports workflow validation () to ensure that any stage changes are permissible, preventing accidental mis‑classification of work items.

Beyond individual items, the server supports higher‑level planning operations. records progress updates on any work item or part, while exposes active or planned sprints for a given enhancement. These capabilities empower AI assistants to draft sprint plans, assign tickets based on capacity, or surface upcoming deadlines—all in a single conversational turn. The tool further enriches this by allowing AI to retrieve and summarize meeting schedules, participants, or outcomes.

In practice, teams can leverage the DevRev MCP Server to automate release notes generation, trigger status updates from code commits, or surface real‑time capacity during stand‑ups. By integrating directly with AI workflows, the server removes friction between data and intent, allowing developers to focus on higher‑level decision making while the assistant handles the mechanical interaction with DevRev’s APIs.