# How to integrate Gitea MCP with CrewAI

```json
{
  "title": "How to integrate Gitea MCP with CrewAI",
  "toolkit": "Gitea",
  "toolkit_slug": "gitea",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/gitea/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/gitea/framework/crew-ai.md",
  "updated_at": "2026-03-29T06:35:22.769Z"
}
```

## 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

- [ChatGPT](https://composio.dev/toolkits/gitea/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/gitea/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/gitea/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/gitea/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/gitea/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/gitea/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/gitea/framework/codex)
- [Cursor](https://composio.dev/toolkits/gitea/framework/cursor)
- [VS Code](https://composio.dev/toolkits/gitea/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/gitea/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/gitea/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/gitea/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/gitea/framework/cli)
- [Google ADK](https://composio.dev/toolkits/gitea/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/gitea/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/gitea/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/gitea/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/gitea/framework/llama-index)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GITEA_ACTIVITYPUB_PERSON` | Get ActivityPub Person Actor | Tool to retrieve the ActivityPub Person actor for a Gitea user. Use when you need to fetch a user's ActivityPub representation for federation purposes or to get ActivityStreams-formatted user data. |
| `GITEA_GET_GENERAL_API_SETTINGS` | Get General API Settings | Tool to retrieve the Gitea instance's global API settings including pagination limits and response size constraints. Use when you need to understand API rate limits or configuration parameters. |
| `GITEA_GET_GENERAL_ATTACHMENT_SETTINGS` | 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. Use when you need to understand the attachment configuration of the instance. |
| `GITEA_GET_GENERAL_REPOSITORY_SETTINGS` | 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. Use when you need to understand which repository features are enabled or disabled at the instance level. |
| `GITEA_GET_GENERAL_UI_SETTINGS` | Get General UI Settings | Tool to retrieve the Gitea instance's global settings for UI including default theme, allowed reactions, and custom emojis. Use when you need to understand the UI configuration of the instance. |
| `GITEA_GET_GITIGNORE_TEMPLATE_INFO` | Get Gitignore Template Info | Tool to retrieve information about a specific gitignore template. Use when you need the content of a gitignore template for repository creation or configuration. |
| `GITEA_GET_LABEL_TEMPLATE_INFO` | Get Label Template Info | Tool to retrieve all labels from a specific label template. Use when you need to view the predefined label set for repository configuration. |
| `GITEA_GET_LICENSE_TEMPLATE_INFO` | Get License Template Info | Tool to retrieve information about a specific license template. Use when you need the content and details of a license template for repository creation or configuration. |
| `GITEA_GET_NODE_INFO` | Get Node Info | Tool to retrieve the nodeinfo of the Gitea application. Use when you need standardized metadata about the Gitea server following the NodeInfo specification. |
| `GITEA_GET_SIGNING_KEY` | Get Signing Key | Tool to retrieve the default GPG signing key used by Gitea to sign commits. Use when you need to verify commits signed by the Gitea instance or import the public key to trust Gitea-generated commits. |
| `GITEA_GET_VERSION` | Get Version | Tool to retrieve the version of the Gitea application. Use when you need to check the Gitea server version. |
| `GITEA_LIST_GITIGNORE_TEMPLATES` | List Gitignore Templates | Tool to retrieve all available gitignore templates. Use when creating a repository to select an appropriate .gitignore template. |
| `GITEA_LIST_LABEL_TEMPLATES` | List Label Templates | Tool to retrieve all available label templates. Use when you need to discover which predefined label sets are available for repositories. |
| `GITEA_LIST_LICENSE_TEMPLATES` | List License Templates | Tool to retrieve all available license templates. Use when creating a repository to select an appropriate license template. |
| `GITEA_GET_ALL_ORGANIZATIONS` | Get All Organizations | Tool to retrieve a paginated list of all organizations in the Gitea instance. Use when you need to list all organizations or browse organizations with pagination support. |
| `GITEA_LIST_ORGANIZATION_ACTIONS_SECRETS` | List Organization Actions Secrets | Tool to list all action secrets for an organization. Use when you need to retrieve the list of secrets configured at the organization level. Note that secret values are never returned through the API for security purposes. |
| `GITEA_RENDER_MARKDOWN` | Render Markdown | Tool to render a markdown document as HTML with configurable rendering modes and context. Use when you need to convert markdown to HTML with specific rendering contexts like comments, wiki pages, or files. |
| `GITEA_RENDER_MARKDOWN_RAW` | Render Markdown Raw | Tool to render raw markdown text as HTML. Use when you need to convert markdown content to HTML format for display or processing. |
| `GITEA_RENDER_MARKUP` | Render Markup | Tool to render a markup document as HTML with support for multiple markup formats. Use when you need to convert markup content (Markdown, AsciiDoc, etc.) to HTML with specific rendering contexts like comments, wiki pages, or files. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Gitea MCP server is an implementation of the Model Context Protocol that connects your AI agent to Gitea. It provides structured and secure access so your agent can perform Gitea operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**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
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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
```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")
```

### 5. Create a Composio Tool Router session for Gitea

**What's happening:**
- You create a Gitea only session through Composio
- Composio returns an MCP HTTP URL that exposes Gitea tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["gitea"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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

## How to build Gitea MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/gitea/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/gitea/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/gitea/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/gitea/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/gitea/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/gitea/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/gitea/framework/codex)
- [Cursor](https://composio.dev/toolkits/gitea/framework/cursor)
- [VS Code](https://composio.dev/toolkits/gitea/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/gitea/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/gitea/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/gitea/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/gitea/framework/cli)
- [Google ADK](https://composio.dev/toolkits/gitea/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/gitea/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/gitea/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/gitea/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/gitea/framework/llama-index)

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Gitea MCP?

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.

### Can I use Tool Router MCP with CrewAI?

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.

### Can I manage the permissions and scopes for Gitea while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
