Redmine MCP Server

The Redmine MCP Server is a lightweight bridge that lets AI assistants—such as Claude, Gemini, or other MCP‑compatible models—interact directly with a Redmine instance. By exposing Redmine resources, tools, and prompts through the Model Context Protocol, it transforms a traditional issue tracker into an AI‑friendly workspace where tasks can be created, updated, and documented with natural language while maintaining full auditability and consistency.

Problem Solved

In many development teams, AI assistants are valuable for drafting tickets or writing documentation, but they lack a secure, structured channel to persist that work in the project management system. Without such an integration, AI outputs remain transient or require manual copy‑and‑paste into Redmine, introducing errors and loss of context. The Redmine MCP Server eliminates this friction by providing a formal API that respects Redmine’s authentication, permission model, and data schema. It guarantees that every AI‑generated issue or wiki page is properly categorized, attributed, and traceable to the originating assistant.

Core Functionality

• Resource Exposure: The server publishes Redmine entities—issues, projects, and wiki pages—as searchable resources. Developers can query these through the endpoints, allowing an AI to retrieve context or perform advanced filtering before acting.
• Tool Execution: Dedicated tool endpoints (, , , ) enable the AI to perform state‑changing operations. Each tool validates input against Redmine’s constraints, ensuring that new tickets are correctly classified and status transitions follow established workflows.
• Prompt Templates: Predefined templates (, ) provide consistent scaffolding for AI outputs. They help maintain a uniform style across tickets and documentation, which is essential in large teams that rely on clear, machine‑readable content.

Use Cases

• Automated Ticketing: An AI assistant can read a conversation or code diff, then automatically generate a new Redmine issue with the correct project, category, and priority.
• Progress Reporting: By calling , the AI can pull real‑time statistics (e.g., completed vs. open tasks) and embed them in status emails or dashboards.
• Documentation Generation: The tool lets the AI draft or update wiki pages from natural language prompts, ensuring that knowledge bases stay current without manual editing.
• Compliance and Auditing: Because every action is routed through Redmine’s API, audit trails remain intact. Teams can review AI‑created tickets in the same way they review human‑created ones, simplifying governance.

Integration with AI Workflows

Developers can configure their MCP‑compatible assistant to connect to the Redmine server either locally or via Docker. The server’s endpoint declares all capabilities, allowing the assistant to discover available tools at runtime. Once connected, an AI can seamlessly embed Redmine operations into conversational flows—for example, “Create a bug report for the latest crash” or “Update the documentation page on deployment.” The assistant’s responses can include dynamic links back to the corresponding Redmine issue or wiki page, providing a transparent handoff between AI suggestions and human oversight.

Unique Advantages

• Security‑First Design: By leveraging Redmine’s API keys and role‑based permissions, the server ensures that only authorized AI actions are permitted.
• Minimal Overhead: Built on Flask and Python 3.9+, the server requires no heavy dependencies, making it easy to deploy in existing CI/CD pipelines or local environments.
• Extensibility: The clear separation of resources, tools, and prompts means that new capabilities—such as custom fields or project‑level analytics—can be added without disrupting existing workflows.

In summary, the Redmine MCP Server turns a legacy issue tracker into an AI‑ready ecosystem. It gives developers and teams the ability to automate ticket creation, documentation, and reporting while preserving transparency, consistency, and compliance—all through the unified Model Context Protocol.