langchain-taiga 1.8.2

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

langchain-taiga

This package provides Taiga tools and a toolkit for use with LangChain. It includes:

• create_entity_tool: Creates user stories, tasks and issues in Taiga.
• search_entities_tool: Searches for user stories, tasks and issues in Taiga.
• get_entity_by_ref_tool: Gets a user story, task or issue by reference.
• update_entity_by_ref_tool: Updates a user story, task or issue by reference.
• add_comment_by_ref_tool: Adds a comment to a user story, task or issue.
• add_attachment_by_ref_tool: Adds an attachment to a user story, task or issue.

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Installation

pip install -U langchain-taiga

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Environment Variable

Export your taiga logins:

export TAIGA_URL="https://taiga.xyz.org/"
export TAIGA_API_URL="https://taiga.xyz.org/"
export TAIGA_USERNAME="username"
export TAIGA_PASSWORD="pw"
export OPENAI_API_KEY="OPENAI_API_KEY"

If this environment variable is not set, the tools will raise a ValueError when instantiated.

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Usage

Direct Tool Usage

from langchain_taiga.tools.taiga_tools import create_entity_tool, search_entities_tool, get_entity_by_ref_tool, update_entity_by_ref_tool, add_comment_by_ref_tool, add_attachment_by_ref_tool

response = create_entity_tool({"project_slug": "slug",
                       "entity_type": "us",
                       "subject": "subject",
                       "status": "new",
                       "description": "desc",
                       "parent_ref": 5,
                       "assign_to": "user",
                       "due_date": "2022-01-01",
                       "tags": ["tag1", "tag2"]})

response = search_entities_tool({"project_slug": "slug", "query": "query", "entity_type": "task"})

response = get_entity_by_ref_tool({"entity_type": "user_story", "project_id": 1, "ref": "1"})

response = update_entity_by_ref_tool({"project_slug": "slug", "entity_ref": 555, "entity_type": "us"})

response = add_comment_by_ref_tool({"project_slug": "slug", "entity_ref": 3, "entity_type": "us",
                "comment": "new"})

response = add_attachment_by_ref_tool({"project_slug": "slug", "entity_ref": 3, "entity_type": "us",
                "attachment_url": "url", "content_type": "png", "description": "desc"})

Using the Toolkit

You can also use TaigaToolkit to automatically gather both tools:

from langchain_taiga.toolkits import TaigaToolkit

toolkit = TaigaToolkit()
tools = toolkit.get_tools()

MCP Server

The package ships with a Model Context Protocol server powered by fastmcp. It exposes the same Taiga tools without changing their behaviour.

Running the Server

python -m langchain_taiga.mcp_server

Or without installing into your project (using uv):

uv run --with langchain-taiga python -m langchain_taiga.mcp_server

The server exports the following tools for MCP clients: create_entity_tool, search_entities_tool, get_entity_by_ref_tool, update_entity_by_ref_tool, add_comment_by_ref_tool, add_attachment_by_ref_tool, list_wiki_pages_tool, get_wiki_page_tool, create_wiki_page_tool, and update_wiki_page_tool.

VSCode

Add the following to your .vscode/mcp.json (or via the VSCode MCP settings UI):

{
  "servers": {
    "taiga": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "langchain-taiga",
        "python",
        "-m",
        "langchain_taiga.mcp_server"
      ],
      "env": {
        "TAIGA_API_URL": "${input:taiga_api_url}",
        "TAIGA_URL": "${input:taiga_url}",
        "TAIGA_USERNAME": "${input:taiga_username}",
        "TAIGA_PASSWORD": "${input:taiga_password}"
      }
    }
  },
  "inputs": [
    {
      "id": "taiga_api_url",
      "type": "promptString",
      "description": "Taiga API URL (e.g. https://api.taiga.io)",
      "password": false
    },
    {
      "id": "taiga_url",
      "type": "promptString",
      "description": "Taiga Web URL (e.g. https://tree.taiga.io)",
      "password": false
    },
    {
      "id": "taiga_username",
      "type": "promptString",
      "description": "Taiga Username",
      "password": false
    },
    {
      "id": "taiga_password",
      "type": "promptString",
      "description": "Taiga Password",
      "password": true
    }
  ]
}

Claude Code

Add the Taiga MCP server via the CLI:

claude mcp add taiga -- uv run --with langchain-taiga python -m langchain_taiga.mcp_server

This adds the server to your project's .claude/mcp.json. Make sure the Taiga environment variables are set in your shell, or pass them explicitly:

claude mcp add taiga -e TAIGA_API_URL=https://api.taiga.io -e TAIGA_URL=https://tree.taiga.io -e TAIGA_USERNAME=your_user -e TAIGA_PASSWORD=your_pass -- uv run --with langchain-taiga python -m langchain_taiga.mcp_server

Alternatively, add the entry manually to .claude/mcp.json:

{
  "mcpServers": {
    "taiga": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "langchain-taiga",
        "python",
        "-m",
        "langchain_taiga.mcp_server"
      ],
      "env": {
        "TAIGA_API_URL": "https://api.taiga.io",
        "TAIGA_URL": "https://tree.taiga.io",
        "TAIGA_USERNAME": "your_user",
        "TAIGA_PASSWORD": "your_pass"
      }
    }
  }
}

Claude Desktop / GitHub Copilot Chat

Add a similar entry to your MCP configuration, pointing to uv run --with langchain-taiga python -m langchain_taiga.mcp_server.

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Tests

If you have a tests folder (e.g. tests/unit_tests/), you can run them (assuming Pytest) with:

pytest --maxfail=1 --disable-warnings -q

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License

MIT License

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Further Documentation

• For more details, see the docstrings in:

  • taiga_tools.py
  • toolkits.py for TaigaToolkit

• Official Taiga Developer Docs: https://docs.taiga.io/api.html

• LangChain GitHub for general LangChain usage and tooling.