# How to integrate Gitea MCP with OpenAI Agents SDK

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

## Introduction

This guide walks you through connecting Gitea to the OpenAI Agents SDK 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 OpenAI Agents SDK 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)
- [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)
- [CrewAI](https://composio.dev/toolkits/gitea/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Gitea
- Configure an AI agent that can use Gitea as a tool
- Run a live chat session where you can ask the agent to perform Gitea operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Gitea project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Gitea.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only gitea.
- The router checks the user's Gitea connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Gitea.
- This approach keeps things lightweight and lets the agent request Gitea tools only when needed during the conversation.
```python
# Create a Gitea Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gitea"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Gitea
const session = await composio.create(userId as string, {
  toolkits: ['gitea'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Gitea. "
        "Help users perform Gitea operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Gitea. Help users perform Gitea operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gitea"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Gitea. "
        "Help users perform Gitea operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['gitea'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Gitea. Help users perform Gitea operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Gitea MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Gitea.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## 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)
- [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)
- [CrewAI](https://composio.dev/toolkits/gitea/framework/crew-ai)

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- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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.

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