Is Pytaiga Mcp safe to use?

Pytaiga Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Pytaiga Mcp?

Pytaiga Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Pytaiga Mcp do?

Pytaiga Mcp provides 3 tools: list_projects, list_user_stories, create_user_story. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Pytaiga Mcp?

Pytaiga Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Pytaiga Mcp actively maintained?

Pytaiga Mcp is recently maintained — last commit was 74 days ago. It has 34 GitHub stars.

Pytaiga Mcp

Name: Pytaiga Mcp
Author: talhaorak

by talhaorak

A MCP server for interacting with Taiga Project Manager

34 3 tools GitHub

No known CVEs

MIT license

Maintained

Last commit 74d ago

Works with most clients

Transport: stdio, sse, http

3 tools · ~233 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "taigaApi": {
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TAIGA_API_URL",
        "-e",
        "TAIGA_USERNAME",
        "-e",
        "TAIGA_PASSWORD",
        "ghcr.io/tetra-2023/pytaiga-mcp:latest"
      ],
      "command": "docker"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/pytaiga-mcp)](https://mcppedia.org/s/pytaiga-mcp)

Read me

What Pytaiga Mcp does

Community fork of talhaorak/pytaiga-mcp with additional features, CI/CD, and ongoing maintenance.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

70/100across 5 weighted dimensions

How we score →

0255075100

−30

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (3)

Click any tool to inspect its schema.

~233 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Pytaiga Mcp safe to use?: Pytaiga Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Pytaiga Mcp?: Pytaiga Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Pytaiga Mcp do?: Pytaiga Mcp provides 3 tools: list_projects, list_user_stories, create_user_story. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Pytaiga Mcp?: Pytaiga Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Pytaiga Mcp actively maintained?: Pytaiga Mcp is recently maintained — last commit was 74 days ago. It has 34 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for Pytaiga Mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "taigaApi": {
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TAIGA_API_URL",
        "-e",
        "TAIGA_USERNAME",
        "-e",
        "TAIGA_PASSWORD",
        "ghcr.io/tetra-2023/pytaiga-mcp:latest"
      ],
      "command": "docker"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/pytaiga-mcp)](https://mcppedia.org/s/pytaiga-mcp)

Read me

What Pytaiga Mcp does

Community fork of talhaorak/pytaiga-mcp with additional features, CI/CD, and ongoing maintenance.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

Taiga MCP Bridge

Community fork of talhaorak/pytaiga-mcp with additional features, CI/CD, and ongoing maintenance.

Overview

The Taiga MCP Bridge is a powerful integration layer that connects Taiga project management platform with the Model Context Protocol (MCP), enabling AI tools and workflows to interact seamlessly with Taiga's resources.

This bridge provides a comprehensive set of tools and resources for AI agents to:

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

By using the MCP standard, this bridge allows AI systems to maintain contextual awareness about project state and perform complex project management tasks programmatically.

Features

Comprehensive Resource Support

The bridge supports the following Taiga resources with complete CRUD operations:

Projects: Create, update, and manage project settings and metadata
Epics: Manage large features that span multiple sprints
User Stories: Handle detailed requirements and acceptance criteria
Tasks: Track smaller units of work within user stories
Issues: Manage bugs, questions, and enhancement requests
Sprints (Milestones): Plan and track work in time-boxed intervals

Security & Configuration

Secure Credentials: Environment variable authentication with credential protection - passwords never appear in logs or error messages
Auto-Authentication: Configure TAIGA_USERNAME and TAIGA_PASSWORD environment variables for seamless startup without manual login
Input Validation: Allowlist-based parameter validation prevents unexpected data from reaching the Taiga API

Response Filtering

All tools support a verbosity parameter to control response size, reducing AI context usage:

Level	Description	Use Case
`minimal`	Core fields only (id, ref, subject, status, project)	Listing many items
`standard`	Common fields including version for updates (default)	Normal operations
`full`	Complete API response	Debugging, full details

Example:

# Get minimal response for efficient context usage
stories = client.call_tool("list_user_stories", {
    "project_id": 123,
    "verbosity": "minimal"
})
# Returns: [{"id": 1, "ref": 42, "subject": "...", "status": 1, "project": 123}, ...]

Installation

This project uses uv for fast, reliable Python package management.

Prerequisites

Python 3.12 or higher
uv package manager

Basic Installation

# Clone the repository
git clone https://github.com/TETRA-2023/pytaiga-mcp.git
cd pytaiga-mcp

# Install dependencies
./install.sh

Development Installation

For development (includes testing and code quality tools):

./install.sh --dev

Manual Installation

If you prefer to install manually:

# Production dependencies only
uv pip install -e .

# With development dependencies
uv pip install -e ".[dev]"

Docker

Pull the pre-built image from GHCR:

docker pull ghcr.io/tetra-2023/pytaiga-mcp:latest

Or build locally:

docker build -t pytaiga-mcp .

Run with environment variables:

docker run -i --rm \
  -e TAIGA_API_URL=https://your-taiga-instance.com \
  -e TAIGA_USERNAME=you

... [View full README on GitHub](https://github.com/talhaorak/pytaiga-mcp#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

70/100across 5 weighted dimensions

How we score →

0255075100

−30

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (3)

Click any tool to inspect its schema.

~233 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Pytaiga Mcp safe to use?: Pytaiga Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Pytaiga Mcp?: Pytaiga Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Pytaiga Mcp do?: Pytaiga Mcp provides 3 tools: list_projects, list_user_stories, create_user_story. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Pytaiga Mcp?: Pytaiga Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Pytaiga Mcp actively maintained?: Pytaiga Mcp is recently maintained — last commit was 74 days ago. It has 34 GitHub stars.