# How to integrate Coinmarketcal MCP with Autogen ```json { "title": "How to integrate Coinmarketcal MCP with Autogen", "toolkit": "Coinmarketcal", "toolkit_slug": "coinmarketcal", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/coinmarketcal/framework/autogen", "markdown_url": "https://composio.dev/toolkits/coinmarketcal/framework/autogen.md", "updated_at": "2026-05-12T10:07:06.937Z" } ``` ## Introduction This guide walks you through connecting Coinmarketcal to AutoGen using the Composio tool router. By the end, you'll have a working Coinmarketcal agent that can show upcoming bitcoin-related events this week, list major crypto conferences in june, find new coin launches happening today through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Coinmarketcal account through Composio's Coinmarketcal MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Coinmarketcal with - [OpenAI Agents SDK](https://composio.dev/toolkits/coinmarketcal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/coinmarketcal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/coinmarketcal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/coinmarketcal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/coinmarketcal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/coinmarketcal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/coinmarketcal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/coinmarketcal/framework/cli) - [Google ADK](https://composio.dev/toolkits/coinmarketcal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/coinmarketcal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/coinmarketcal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/coinmarketcal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/coinmarketcal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/coinmarketcal/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 Coinmarketcal - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Coinmarketcal tools - Run a live chat loop where you ask the agent to perform Coinmarketcal 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 Coinmarketcal MCP server, and what's possible with it? The Coinmarketcal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Coinmarketcal account. It provides structured and secure access to the Coinmarketcal crypto events calendar, so your agent can perform actions like fetching upcoming cryptocurrency events, discovering new project launches, and tracking market-impacting announcements on your behalf. - Fetch upcoming crypto events: Ask your agent to retrieve a list of scheduled events, announcements, or coin releases that could impact the crypto markets. - Discover project launches and updates: Stay on top of new token launches, hard forks, or upgrade announcements directly from Coinmarketcal’s trusted community-driven calendar. - Track market-impacting news: Let your agent monitor important developments and milestone events for specific coins or across the entire crypto ecosystem. - Stay informed on trending events: Quickly surface the most anticipated or discussed crypto events, enabling smarter trading and investment decisions. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `COINMARKETCAL_LIST_COINS` | List Coins | Tool to retrieve list of all available coins/cryptocurrencies in CoinMarketCal database. Use when you need to fetch coin information including IDs, names, symbols, and event counts. | | `COINMARKETCAL_LIST_EVENT_CATEGORIES` | List Event Categories | Tool to list all event categories. Use when you need to fetch available event categories. | | `COINMARKETCAL_LIST_EVENTS` | List Cryptocurrency Events | Tool to retrieve list of cryptocurrency events. Use when you need to fetch upcoming or past crypto events filtered by date range, coins, categories, or other criteria. Note: Cannot retrieve events before 25/11/2017. The can_occur_before field is important as some events may happen before their stated date. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Coinmarketcal MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Coinmarketcal. Instead of manually wiring Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["coinmarketcal"] ) 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 Coinmarketcal 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 Coinmarketcal assistant agent with MCP tools agent = AssistantAgent( name="coinmarketcal_assistant", description="An AI assistant that helps with Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["coinmarketcal"] ) 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 Coinmarketcal assistant agent with MCP tools agent = AssistantAgent( name="coinmarketcal_assistant", description="An AI assistant that helps with Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal 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 Coinmarketcal, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Coinmarketcal MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/coinmarketcal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/coinmarketcal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/coinmarketcal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/coinmarketcal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/coinmarketcal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/coinmarketcal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/coinmarketcal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/coinmarketcal/framework/cli) - [Google ADK](https://composio.dev/toolkits/coinmarketcal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/coinmarketcal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/coinmarketcal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/coinmarketcal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/coinmarketcal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/coinmarketcal/framework/crew-ai) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. 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It helps teams code interviews, analyze feedback, and create actionable research summaries. - [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business. - [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets. - [Fireflies](https://composio.dev/toolkits/fireflies) - Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes voice conversations. It helps teams capture call notes automatically and search or summarize meetings effortlessly. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Coinmarketcal MCP? With a standalone Coinmarketcal MCP server, the agents and LLMs can only access a fixed set of Coinmarketcal tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Coinmarketcal 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 Coinmarketcal tools. ### Can I manage the permissions and scopes for Coinmarketcal while using Tool Router? Yes, absolutely. You can configure which Coinmarketcal 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 Coinmarketcal data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)