# How to integrate Gist MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Gist MCP with OpenAI Agents SDK",
  "toolkit": "Gist",
  "toolkit_slug": "gist",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/gist/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/gist/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:13:01.353Z"
}
```

## Introduction

This guide walks you through connecting Gist to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Gist agent that can list all your public and private gists, show comments for gist with id abc123, check if i starred gist aa5a315d61ae9438b18d through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Gist account through Composio's Gist MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Gist with

- [Claude Agent SDK](https://composio.dev/toolkits/gist/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/gist/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/gist/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/gist/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/gist/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/gist/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/gist/framework/cli)
- [Google ADK](https://composio.dev/toolkits/gist/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/gist/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/gist/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/gist/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/gist/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/gist/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 Gist
- Configure an AI agent that can use Gist as a tool
- Run a live chat session where you can ask the agent to perform Gist 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 Gist MCP server, and what's possible with it?

The Gist MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your GitHub Gist account. It provides structured and secure access to your gists, so your agent can create, manage, comment on, and organize code snippets and notes on your behalf.
- Gist creation and management: Quickly ask your agent to create new public or private gists, update existing ones, or fetch details for any gist you own or have access to.
- Commenting and collaboration: Let your agent add, list, retrieve, or delete comments on your gists to streamline discussion and feedback without manual effort.
- Revision history and tracking: Effortlessly review a gist's revision history, retrieve specific past versions, and understand changes over time.
- Star and fork management: Direct your agent to list your starred gists, check if you've starred a gist, or see all forks of a particular gist to keep track of popularity and collaboration.
- Personalized gist organization: Have your agent list all your gists or your starred gists, making it easy to find, organize, and revisit important code snippets and notes.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GIST_CHECK_GIST_STAR` | Check Gist Star | Check if the authenticated user has starred a specific gist. Returns True if the gist is starred, False if not starred or if the gist doesn't exist. This is a read-only, idempotent operation that requires authentication but no special permissions. |
| `GIST_CREATE_GIST` | Create Gist | Tool to create a new gist with one or more files. Use when you need to create a code snippet or text file to share. Note: Do not name your files 'gistfile' with a numerical suffix. |
| `GIST_CREATE_GIST_COMMENT` | Create Gist Comment | Tool to create a comment on a gist. Use when you need to add a comment to an existing gist. |
| `GIST_DELETE_GIST` | Delete Gist | Tool to delete a gist. Use when you have a gist_id and want to permanently remove that gist. Example prompt: "Delete gist 'aa5a315d61ae9438b18d'". |
| `GIST_DELETE_GIST_COMMENT` | Delete Gist Comment | Tool to delete a comment on a gist. Use when you have both the gist_id and comment_id and want to remove that comment. Example prompt: "Delete comment 42 from gist 'aa5a315d61ae9438b18d'". |
| `GIST_FORK_GIST` | Fork Gist | Tool to fork a gist. Use when you need to create a copy of an existing gist under your own account. |
| `GIST_GET_GIST` | Get Gist | Tool to retrieve a specific gist by its ID. Use when you have a gist_id and need complete gist details. |
| `GIST_GET_GIST_COMMENT` | Get Gist Comment | Tool to get a specific comment on a gist. Use when you need to retrieve details of a particular comment given gist_id and comment_id. |
| `GIST_GET_GIST_REVISION` | Get Gist Revision | Tool to retrieve a specific gist revision. Use when you need details of a past state for an existing gist by commit SHA. |
| `GIST_LIST_GIST_COMMENTS` | List Gist Comments | Tool to list comments on a gist. Use after confirming the gist_id to retrieve comments for a specific gist. Example: 'List comments for gist abc123'. |
| `GIST_LIST_GIST_COMMITS` | List Gist Commits | Tool to list the commit history of a gist. Use after you have the gist ID to review its revisions. |
| `GIST_LIST_GIST_FORKS` | List Gist Forks | Tool to list forks of a gist. Use after obtaining a gist_id to retrieve all forks for the gist. |
| `GIST_LIST_GISTS` | List Gists | Tool to list the authenticated user's gists or all public gists if called anonymously. Use after setting a valid GitHub token in headers. |
| `GIST_LIST_PUBLIC_GISTS` | List Public Gists | Tool to list public gists sorted by most recently updated. Use when you need to discover recent public gists. Note: with pagination, you can fetch up to 3000 gists. |
| `GIST_LIST_STARRED_GISTS` | List Starred Gists | Tool to list the authenticated user's starred gists. Use when you need to retrieve all gists the user has starred. |
| `GIST_LIST_USER_GISTS` | List User Gists | Tool to list public gists for a specified GitHub user. Use when you have a username and need their gists. |
| `GIST_STAR_GIST` | Star a Gist | Star a GitHub gist. This operation is idempotent and will succeed even if the gist is already starred. |
| `GIST_UNSTAR_GIST` | Unstar a Gist | Unstar a GitHub gist. This operation is idempotent and will succeed even if the gist is not currently starred. |
| `GIST_UPDATE_GIST` | Update Gist | Tool to update a gist's description and files. Use when you need to modify gist content, rename files, or delete files from a gist. |
| `GIST_UPDATE_GIST_COMMENT` | Update Gist Comment | Tool to update a Gist comment. Updates an existing comment on a gist. You must be the author of the comment to update it. |

## Supported Triggers

None listed.

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

The Gist MCP server is an implementation of the Model Context Protocol that connects your AI agent to Gist. It provides structured and secure access so your agent can perform Gist 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 Gist 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 Gist.
```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 gist.
- The router checks the user's Gist connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Gist.
- This approach keeps things lightweight and lets the agent request Gist tools only when needed during the conversation.
```python
# Create a Gist Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gist"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Gist
const session = await composio.create(userId as string, {
  toolkits: ['gist'],
});
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 Gist. "
        "Help users perform Gist 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 Gist. Help users perform Gist 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=["gist"]
)
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 Gist. "
        "Help users perform Gist 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: ['gist'],
  });
  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 Gist. Help users perform Gist 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 Gist MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Gist.
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 Gist MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/gist/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/gist/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/gist/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/gist/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/gist/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/gist/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/gist/framework/cli)
- [Google ADK](https://composio.dev/toolkits/gist/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/gist/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/gist/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/gist/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/gist/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/gist/framework/crew-ai)

## Related Toolkits

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- [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.
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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 Gist MCP?

With a standalone Gist MCP server, the agents and LLMs can only access a fixed set of Gist tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gist 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 Gist tools.

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

Yes, absolutely. You can configure which Gist 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 Gist data and credentials are handled as safely as possible.

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