Taiga MCP Bridge

What is Taiga MCP Bridge? The Taiga MCP Bridge is an integration layer that connects the Taiga project management platform with the Model Context Protocol (MCP), enabling seamless interaction between AI tools and Taiga's resources. How to use Taiga MCP Bridge? To use the Taiga MCP Bridge, clone the repository, install the dependencies, and configure the environment variables. You can then run the MCP server and authenticate to interact with Taiga's project management features. Key features of Taiga MCP Bridge? Create and manage projects, epics, user stories, tasks, and issues in Taiga. Track sprints and milestones. Assign and update work items. Query detailed information about project artifacts. Manage project members and permissions. Use cases of Taiga MCP Bridge? Automating project management tasks using AI. Integrating AI tools for enhanced project tracking and reporting. Streamlining workflows in software development projects. FAQ from Taiga MCP Bridge? What is the required Python version? Python 3.10 or higher is required. Is there a license for this project? Yes, it is licensed under the MIT License. How can I contribute to the project? You can fork the repository, create a feature branch, and submit a pull request after making your changes.

As an MCP (Model Context Protocol) server, Taiga MCP Bridge enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Taiga MCP Bridge, clone the repository, install the dependencies, and configure the environment variables. You can then run the MCP server and authenticate to interact with Taiga's project management features. Key features of Taiga MCP Bridge? Create and manage projects, epics, user stories, tasks, and issues in Taiga. Track sprints and milestones. Assign and update work items. Query detailed information about project artifacts. Manage project members and permissions. Use cases of Taiga MCP Bridge? Automating project management tasks using AI. Integrating AI tools for enhanced project tracking and reporting. Streamlining workflows in software development projects. FAQ from Taiga MCP Bridge? What is the required Python version? Python 3.10 or higher is required. Is there a license for this project? Yes, it is licensed under the MIT License. How can I contribute to the project? You can fork the repository, create a feature branch, and submit a pull request after making your changes.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.