How to integrate Gitea MCP with CrewAI

This guide walks you through connecting Gitea to CrewAI using the Composio tool router. By the end, you'll have a working Gitea agent that can list all open issues in your repository, create a new pull request for dev branch, get commit history for a specific file through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Gitea account through Composio's Gitea MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Gitea is a lightweight, community-managed code hosting solution written in Go. It offers simple, fast, and self-hosted Git repository management for teams and individuals.

19 Tools

Introduction

This guide walks you through connecting Gitea to CrewAI using the Composio tool router. By the end, you'll have a working Gitea agent that can list all open issues in your repository, create a new pull request for dev branch, get commit history for a specific file through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Gitea account through Composio's Gitea MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Gitea with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Gitea connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Gitea
  • Build a conversational loop where your agent can execute Gitea operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

What is the Gitea MCP server, and what's possible with it?

The Gitea MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gitea account. It provides structured and secure access so your agent can perform Gitea operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Gitea connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Gitea via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Gitea MCP URL
6

Create a Composio Tool Router session for Gitea

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["gitea"])

url = session.mcp.url
What's happening:
  • You create a Gitea only session through Composio
  • Composio returns an MCP HTTP URL that exposes Gitea tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Gitea and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["gitea"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Gitea through Composio's Tool Router. The agent can perform Gitea operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

Every Gitea action and event your agent gets out of the box.

Get ActivityPub Person Actor

Tool to retrieve the ActivityPub Person actor for a Gitea user.

Get General API Settings

Tool to retrieve the Gitea instance's global API settings including pagination limits and response size constraints.

Get General Attachment Settings

Tool to retrieve the Gitea instance's global settings for file attachments including enabled status, allowed file types, size limits, and file count limits.

Get General Repository Settings

Tool to retrieve the Gitea instance's global settings for repositories including feature flags for mirroring, HTTP Git, migrations, stars, time tracking, and LFS.

Get General UI Settings

Tool to retrieve the Gitea instance's global settings for UI including default theme, allowed reactions, and custom emojis.

Get Gitignore Template Info

Tool to retrieve information about a specific gitignore template.

Get Label Template Info

Tool to retrieve all labels from a specific label template.

Get License Template Info

Tool to retrieve information about a specific license template.

Get Node Info

Tool to retrieve the nodeinfo of the Gitea application.

Get Signing Key

Tool to retrieve the default GPG signing key used by Gitea to sign commits.

Get Version

Tool to retrieve the version of the Gitea application.

List Gitignore Templates

Tool to retrieve all available gitignore templates.

List Label Templates

Tool to retrieve all available label templates.

List License Templates

Tool to retrieve all available license templates.

Get All Organizations

Tool to retrieve a paginated list of all organizations in the Gitea instance.

List Organization Actions Secrets

Tool to list all action secrets for an organization.

Render Markdown

Tool to render a markdown document as HTML with configurable rendering modes and context.

Render Markdown Raw

Tool to render raw markdown text as HTML.

Render Markup

Tool to render a markup document as HTML with support for multiple markup formats.

FRAMEWORKS

How to build Gitea MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Gitea MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Gitea MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Gitea MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Gitea MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Gitea MCP with Claude Cowork

Codex logo

Codex

Use Gitea MCP with Codex

Cursor logo

Cursor

Use Gitea MCP with Cursor

OpenClaw logo

OpenClaw

Use Gitea MCP with OpenClaw

Hermes logo

Hermes

Use Gitea MCP with Hermes

CLI logo

CLI

Use Gitea MCP with CLI

Google ADK logo

Google ADK

Use Gitea MCP with Google ADK

LangChain logo

LangChain

Use Gitea MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Gitea MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Gitea MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Gitea MCP with LlamaIndex

OpenCode logo

OpenCode

Use Gitea MCP with OpenCode

VS Code logo

VS Code

Use Gitea MCP with VS Code

FAQ

Frequently asked questions

With a standalone Gitea MCP server, the agents and LLMs can only access a fixed set of Gitea tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gitea and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Gitea tools.

Yes, absolutely. You can configure which Gitea scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Gitea data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies