$ loading_
Manage Taiga projects, issues, stories, tasks, and wiki pages with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "taiga-mcp" yet — see the docs or source repo.
In the Taiga project "Mobile App Redesign," create a user story called "Support dark mode" and break it down into three implementation tasks.
A new user story is added to the specified Taiga project along with the related task breakdown.
List all incomplete tasks in the current sprint and organize them into a priority-based backlog.
Returns the incomplete tasks from the current sprint, organized by priority.
Create a new wiki page called "Release Process" in the Taiga project and add the main release steps.
Creates a new page in the project wiki and adds the release process content.
Product managers can use natural language to create and organize user stories, epics, tasks, and sprint items in Taiga, reducing manual entry and context switching.
Developers can query, update, or manage issues and tasks in Taiga through an AI assistant to keep project execution status in sync faster.
Teams can use this tool to manage Taiga wiki pages and capture process documentation and project knowledge in shared docs.
It is an MCP server for the Taiga project management API. It lets AI assistants manage projects, issues, user stories, tasks, epics, sprints, and wiki pages through natural language.
Based on the description, it supports projects, issues, user stories, tasks, epics, sprints, and wiki pages. For detailed fields or operation scope, see the source repository.
It is known to connect to the Taiga project management API, so you will typically need access to a Taiga environment and related API configuration. For exact installation steps, authentication, and runtime requirements, see the source repository.
Manage Taiga projects, sprints, stories, tasks, and issues with natural language.
Access Taiga UI docs, code examples, and migration guides for development
Connect Taiga accounts via OAuth so AI can access project resources securely.
Manage TaScan projects, tasks, workers, and reports through MCP-compatible AI clients.
Manage hierarchical projects, tasks, status, context, and issues through MCP.
Query TargetProcess projects, stories, bugs, and sprints in natural language.