Redmine MCP Server
by zacharyelston
A Model Context Protocol (MCP) server that enables AI assistants to interact with Redmine for focused and transparent project management. It provides a bridge between AI assistants and Redmine, allowing the AI to create and update issues, manage wiki pages, and track project status.
Last updated: N/A
What is Redmine MCP Server?
This MCP server provides a bridge between AI assistants and Redmine, allowing the AI to interact with Redmine for focused and transparent project management. It enables AI assistants to create and update issues, manage wiki pages and documentation, track project status and progress, and follow defined processes for consistency.
How to use Redmine MCP Server?
To use this server, first clone the repository and install the dependencies. Then, configure the server with your Redmine URL and API key. Start the server using python main.py. You can also deploy it using Docker. Finally, configure your Claude Desktop or other MCP-compatible AI assistant to connect to the server.
Key features of Redmine MCP Server
Access to Redmine issues with filtering and search
Access to project data, categories, and statuses
Access to wiki pages for documentation
Create new issues with proper categorization
Update existing issues with status changes and notes
Create or update wiki pages for documentation
Get project status summaries and statistics
Issue template for creating well-structured issues
Wiki template for creating well-structured wiki pages
Use cases of Redmine MCP Server
Automated issue creation and updates by AI assistants
AI-driven documentation management in Redmine wikis
AI-powered project status tracking and reporting
Streamlining project workflows with AI assistance
FAQ from Redmine MCP Server
What is the purpose of this server?
What is the purpose of this server?
This server enables AI assistants to interact with Redmine for focused and transparent project management.
What are the key requirements for running this server?
What are the key requirements for running this server?
You need Python 3.9+, Flask, a Redmine instance with API access, and an MCP-compatible AI assistant like Claude Desktop.
How do I configure the server?
How do I configure the server?
You can configure the server using a config.yaml file or environment variables, specifying your Redmine URL and API key.
Can I deploy this server using Docker?
Can I deploy this server using Docker?
Yes, the README provides instructions for building and running the server in a Docker container.
What are the benefits of using this MCP server?
What are the benefits of using this MCP server?
Benefits include structured documentation, clear processes, transparency, collaboration, and progress tracking for AI-assisted project management.