# Taiga

> Use this tool when you need to integrate AI assistants with the Taiga project management platform to manage projects, epics, and tasks programmatically. It solves the problem of context switching by enabling development teams to track work items directly through AI assistants. The tool accepts project management commands as input and outputs updates on project status, supporting both stdio and SSE transport modes.

Canonical page: https://skillsregistry.net/skills/talhaorak-taiga  
JSON: https://api.skillsregistry.net/v1/skills/talhaorak-taiga

## Description

Taiga MCP Bridge provides a standardized interface for AI assistants to interact with Taiga project management platform, enabling programmatic control over projects, epics, user stories, tasks and issues. Built with FastMCP and Python, it features session-based authentication, rate limiting, connection pooling, and comprehensive logging while supporting both stdio and SSE transport modes. The implementation is particularly valuable for development teams who want to manage their Taiga projects and track work items directly through AI assistants without context switching.

## Trust

- **Trust score (0–1):** 0.27
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/talhaorak-taiga)
- **Repository:** <https://github.com/talhaorak/pytaiga-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "talhaorak-taiga"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/talhaorak-taiga` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/talhaorak-taiga/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt