Taiga MCP Bridge

Taiga MCP Bridge is an MCP server that connects the Taiga project management platform with Model Context Protocol clients. Built for agile software teams, project managers, and developers utilizing AI assistants like Claude and Cursor, the bridge allows users to programmatically view and manipulate project workflows. It exposes full CRUD capabilities across major Taiga entities, including projects, epics, user stories, tasks, issues, and sprint milestones. Users can query backlog items, update ticket statuses, create new tasks, and inspect membership permissions directly from an LLM prompt. To optimize context window efficiency, the bridge includes a configurable verbosity parameter with minimal, standard, and full detail tiers. Security features include environment-based credential handling to keep passwords out of error traces, allowlist parameter validation, and support for automated startup authentication alongside manual multi-session management over standard input/output or Server-Sent Events transports.

Category: CRM, ERP & E-commerce

Tags: agile, kanban, scrum, taiga, task-tracking

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How to install and configure Taiga MCP Bridge

1. Clone the repository and install dependencies using uv: bash git clone https://github.com/TETRA-2023/pytaiga-mcp.git cd pytaiga-mcp ./install.sh 2. Configure your environment variables in a .env file or export them in your shell: bash TAIGA_API_URL=https://api.taiga.io/api/v1/ TAIGA_USERNAME=your_username TAIGA_PASSWORD=your_password TAIGA_TRANSPORT=stdio 3. Add the server to your MCP client configuration (e.g., Claude Desktop or Cursor): json { "mcpServers": { "taigaApi": { "command": "uv", "args": [ "--directory", "/path/to/pytaiga-mcp", "run", "src/server.py" ], "env": { "TAIGA_TRANSPORT": "stdio", "TAIGA_API_URL": "https://api.taiga.io/api/v1/", "TAIGA_USERNAME": "your_username", "TAIGA_PASSWORD": "your_password" } } } } 4. Alternatively, run the pre-built Docker container image ghcr.io/tetra-2023/pytaiga-mcp:latest with the appropriate environment variables.

What you can do with Taiga MCP Bridge

• Creating, updating, and querying user stories, epics, and subtasks directly through AI assistant prompts. - Monitoring sprint milestones and checking issue resolution statuses across multiple agile project backlogs. - Filtering API query responses with minimal verbosity modes to reduce context token usage. - Automating project bootstrap workflows by chaining project setup, epic definition, and story generation calls.

Key facts

• https://github.com/talhaorak/pytaiga-mcp
• CRM, ERP & E-commerce, Project & Task Management
• agile, kanban, scrum, taiga, task-tracking

Part of MCP Servers

What can Taiga MCP Bridge do?

Taiga MCP Bridge enables AI tools to perform complete CRUD operations on the Taiga project management platform. You can create and manage projects, epics, user stories, tasks, issues, and sprint milestones. It also enables checking membership and querying artifact states using flexible response verbosity levels to save context tokens.

How do I install Taiga MCP Bridge?

You can install it by cloning the repository and running the included install script with uv on Python 3.12 or newer. Alternatively, you can pull the official Docker image from GitHub Packages and execute it directly via stdio or Server-Sent Events transports.

Which transport protocols are supported?

The server supports both standard input/output (stdio) and Server-Sent Events (SSE). The stdio mode is typically used for local client configurations like Claude Desktop or Cursor, while SSE can be used for web-based server deployments.

Is Taiga MCP Bridge open source?

Yes, Taiga MCP Bridge is open source and licensed under the MIT License. The code and pre-built Docker images are publicly available on GitHub.