# How to integrate Skyfire MCP with Autogen

```json
{
  "title": "How to integrate Skyfire MCP with Autogen",
  "toolkit": "Skyfire",
  "toolkit_slug": "skyfire",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/skyfire/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/skyfire/framework/autogen.md",
  "updated_at": "2026-05-12T10:26:27.147Z"
}
```

## Introduction

This guide walks you through connecting Skyfire to AutoGen using the Composio tool router. By the end, you'll have a working Skyfire agent that can check your skyfire wallet balance now, issue a pay token for $10 to buy service, list all ai services available for purchase through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Skyfire account through Composio's Skyfire MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Skyfire with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Skyfire
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Skyfire tools
- Run a live chat loop where you ask the agent to perform Skyfire operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

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

The Skyfire MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Skyfire account. It provides structured and secure access to your autonomous payment and transaction infrastructure, so your agent can create tokens, pay for services, check balances, audit charges, and discover available AI-powered services on your behalf.
- Autonomous service payments: Let your agent issue payment tokens and seamlessly pay for AI services or digital goods without manual intervention.
- Wallet balance and charge auditing: Have your agent check buyer wallet balances before transactions and audit token charges to track exactly what was spent and when.
- Discovery of AI and digital services: Enable your agent to browse, filter, and retrieve detailed info about available services using tags or seller agents, streamlining selection and integration.
- Token management and automation: Allow your agent to create, manage, and charge Skyfire tokens (KYA, PAY, KYA+PAY), handling sophisticated payment flows programmatically.
- Service details and compliance checks: Instruct your agent to fetch detailed service terms, API specs, and integration URLs—helping ensure compliance and smooth onboarding before making purchases.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SKYFIRE_CHARGE_TOKEN` | Charge Skyfire Token | Charge a buyer's token (seller-side operation). REQUIRES SELLER API KEY: This action requires your seller agent API key, not the buyer's key. The buyer creates and sends you a pay/kya+pay token JWT, you provide the service, then call this endpoint to collect payment. Flow: Buyer creates token → Buyer calls your service with token → You validate token → You provide service → You call this to charge. Common errors: - 401: Invalid/expired token OR wrong API key (must use seller key) - 402: Charge amount exceeds token value |
| `SKYFIRE_CREATE_KYA_PAY_TOKEN` | Create Skyfire KYA+PAY Token | Issue a Skyfire KYA+PAY token (POST /api/v1/tokens with type=kya+pay). |
| `SKYFIRE_CREATE_KYA_TOKEN` | Create Skyfire KYA Token | Issue a Skyfire KYA token (POST /api/v1/tokens with type=kya). |
| `SKYFIRE_CREATE_PAY_TOKEN` | Create Skyfire PAY Token | Issue a Skyfire PAY token (POST /api/v1/tokens with type=pay). |
| `SKYFIRE_GET_ALL_SERVICE_TAGS` | Get All Service Tags | Fetch all service tags to discover filtering options. Chain with ListDirectoryServices using tags parameter to find specific types of services (e.g., 'ai', 'mcp', 'scraping'). |
| `SKYFIRE_GET_BUYER_WALLET_BALANCE` | Get Skyfire Buyer Wallet Balance | Retrieve buyer wallet balance. Chain before token creation to prevent declines. |
| `SKYFIRE_GET_DIRECTORY_SERVICE_BY_ID` | Get Directory Service By ID | Tool to get full details for a specific service in the Skyfire directory by its ID. Use when you need complete information about a service including pricing, requirements, and seller details. |
| `SKYFIRE_GET_SERVICE` | Get Skyfire Service Details | Get full details for one service. More detailed than ListDirectoryServices - shows terms of service, API specs, and integration URLs. Use before creating expensive tokens. |
| `SKYFIRE_GET_SERVICES_BY_AGENT` | Get Services by Agent | Browse all services from one seller agent. Useful when you trust a seller and want to see their full catalog, or when tracking down who provides a specific type of service. |
| `SKYFIRE_GET_SERVICES_BY_TAGS` | Get Services by Tags | Filter services by tags to find exactly what you need. More efficient than browsing all services when you know the category. Chain: GetAllServiceTags → GetServicesByTags → CreatePayToken. |
| `SKYFIRE_GET_TOKEN_CHARGES` | Get Skyfire Token Charges | Audit charges for a specific token. Shows exactly what sellers charged against your token and when. Use for reconciliation: "I authorized $5 max, what did they actually charge?" |
| `SKYFIRE_INTROSPECT_TOKEN` | Introspect Skyfire Token | Check if a token is still valid before calling a seller service. Prevents wasted API calls with expired tokens. Use after creating tokens if there's a delay before calling the seller, or when debugging payment issues. |
| `SKYFIRE_LIST_AGENT_SELLER_SERVICES` | List Agent Seller Services | List all services registered by the authenticated seller agent. Use when you need to view or manage your own services as a seller. |
| `SKYFIRE_LIST_BUYER_TOKENS` | List Skyfire Buyer Tokens | Inspect buyer tokens for observability. Chain with transactions to audit usage. |
| `SKYFIRE_LIST_DIRECTORY_SERVICES` | List Skyfire Directory Services | Browse Skyfire's service directory to obtain `sellerServiceId` for token creation. Chain this with CreatePayToken or CreateKyaPayToken. |
| `SKYFIRE_SET_AGENT_SOURCE_IPS` | Set Agent Source IP Addresses | Register IP addresses as sources for Agent requests (PUT /api/v1/agents/source-ips). Use before creating tokens to whitelist agent IPs. |

## Supported Triggers

None listed.

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

The Skyfire MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Skyfire. Instead of manually wiring Skyfire APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Skyfire account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Skyfire via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Skyfire connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Skyfire tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Skyfire session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["skyfire"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Skyfire tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Skyfire assistant agent with MCP tools
    agent = AssistantAgent(
        name="skyfire_assistant",
        description="An AI assistant that helps with Skyfire operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Skyfire tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Skyfire related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

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

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Skyfire session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["skyfire"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Skyfire assistant agent with MCP tools
        agent = AssistantAgent(
            name="skyfire_assistant",
            description="An AI assistant that helps with Skyfire operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Skyfire related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Skyfire through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Skyfire, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Skyfire MCP Agent with another framework

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

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.

## Frequently Asked Questions

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

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

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

Yes, you can. Autogen 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 Skyfire tools.

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

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

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