# How to integrate CrowTerminal MCP with Pydantic AI ```json { "title": "How to integrate CrowTerminal MCP with Pydantic AI", "toolkit": "CrowTerminal", "toolkit_slug": "crowterminal", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/crowterminal/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/crowterminal/framework/pydantic-ai.md", "updated_at": "2026-06-18T09:22:23.948Z" } ``` ## Introduction This guide walks you through connecting CrowTerminal to Pydantic AI using the Composio tool router. By the end, you'll have a working CrowTerminal agent that can debug failing docker build command, automate repeated git cleanup commands, recall yesterday's terminal troubleshooting notes through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a CrowTerminal account through Composio's CrowTerminal MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate CrowTerminal with - [OpenAI Agents SDK](https://composio.dev/toolkits/crowterminal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/crowterminal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/crowterminal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/crowterminal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/crowterminal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/crowterminal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/crowterminal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/crowterminal/framework/cli) - [Google ADK](https://composio.dev/toolkits/crowterminal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/crowterminal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/crowterminal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/crowterminal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/crowterminal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/crowterminal/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for CrowTerminal - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your CrowTerminal workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the CrowTerminal MCP server, and what's possible with it? The CrowTerminal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CrowTerminal account. It provides structured and secure access so your agent can perform CrowTerminal operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CROWTERMINAL_ANALYZE_ENGAGEMENT` | Analyze Agent Engagement | Tool to analyze engagement correlation for every field in your agent's markdown. Use when you need to understand which agent configuration fields drive engagement and get specific recommendations for improvement. Returns similarity to best/worst performing versions and field-by-field analysis. | | `CROWTERMINAL_COMPARE_MD` | Compare Agent Markdown | Tool to compare your agent's markdown directly with all stored versions. Returns field differences showing which values differ across versions, lists missing fields not present in your current data, and provides version counts. Use when you need to understand how your current agent configuration compares to historical versions. | | `CROWTERMINAL_CREATE_WEBHOOK` | Create Webhook | Tool to register a new webhook for receiving real-time event notifications from CrowTerminal. Use when you need to set up asynchronous notifications for events like skill updates, data ingestion, or validation blocks. | | `CROWTERMINAL_DELETE_WEBHOOK` | Delete Webhook | Tool to delete an existing webhook registration. Use when you need to remove a webhook that is no longer needed or should be replaced. | | `CROWTERMINAL_GET_BYOK_PLATFORM_INTEL` | Get BYOK Platform Intelligence | Tool to get algorithm insights for TikTok, Instagram, and YouTube without client-specific context. Use when you need platform intelligence data for BYOK (Bring Your Own Key) analysis workflows. This endpoint provides raw contextual algorithm data without triggering LLM inference charges. | | `CROWTERMINAL_GET_CLIENT_MEMORY_CHANGELOG` | Get Client Memory Changelog | Retrieve human-readable change history for a client's memory. Provides a narrative view of how the client's skill data has evolved over time. | | `CROWTERMINAL_GET_CLIENT_MEMORY_PATTERN` | Get Client Memory Pattern | Tool to track a specific field over time for trend analysis. Use when you need to understand how a particular metric evolved across versions or time periods. | | `CROWTERMINAL_GET_COMPONENTS_STATUS` | Get Components Status | Tool to get detailed status of each CrowTerminal service component. Returns current health status, latency, and summary statistics for all monitored components (database, cache, APIs, webhooks). Use when checking system health or diagnosing service issues. | | `CROWTERMINAL_GET_DATA_TYPES` | Get Data Types | Tool to retrieve valid data types for ingestion across platforms. Returns available data types for TikTok, Instagram, and YouTube that can be used for data ingestion operations. | | `CROWTERMINAL_GET_INCIDENTS` | Get Recent Incidents | Tool to retrieve list of recent incidents from CrowTerminal with duration and affected components. Use when you need to check system status, monitor service health, or investigate recent outages or degradations. | | `CROWTERMINAL_GET_PLATFORM_INTEL` | Get Platform Intelligence | Tool to retrieve algorithm insights for TikTok, Instagram, and YouTube. Returns platform-wide intelligence about content algorithm behavior and optimization strategies. Use when you need current platform algorithm trends and recommendations. | | `CROWTERMINAL_GET_SANDBOX_CLIENT` | Get Sandbox Client | Tool to get mock client data for testing in the sandbox environment. Use when you need to test client-related functionality without affecting real data. No authentication required for sandbox endpoints. | | `CROWTERMINAL_GET_SANDBOX_MEMORY` | Get Sandbox Memory | Tool to retrieve mock memory/skill data for testing purposes. Use when you need to test memory retrieval without affecting real data or requiring authentication. Part of the sandbox testing environment. | | `CROWTERMINAL_GET_STATUS` | Get Service Status | Retrieve CrowTerminal service status including overall health, component metrics, and uptime data. Use when you need to check the operational status of CrowTerminal services or monitor system health. No authentication required. | | `CROWTERMINAL_GET_STATUS_HISTORY` | Get Status History | Tool to get 7-day uptime data points ready for visualization and charting. Use when you need historical uptime metrics for monitoring dashboards or status displays. | | `CROWTERMINAL_GET_UPTIME` | Get Uptime Data | Tool to retrieve historical uptime data for CrowTerminal agents. Use when you need to check system reliability, view uptime percentages for 24h/7d periods, or review recent service incidents. | | `CROWTERMINAL_INGEST_BULK_DATA` | Bulk Ingest Analytics Data | Tool to bulk ingest up to 50 analytics data points at once to CrowTerminal. Use when you need to efficiently push large amounts of platform analytics data for content creators across social media platforms. Ideal for batch uploads of retention, engagement, views, and other metrics. | | `CROWTERMINAL_INGEST_DATA` | Ingest Analytics Data | Tool to ingest platform analytics data from TikTok Studio, Instagram Insights, or YouTube Analytics. Use when you need to push retention curves, demographics, traffic sources, or other engagement metrics for analysis. Supports both video-specific and channel-level data ingestion. | | `CROWTERMINAL_LIST_WEBHOOKS` | List Webhooks | Tool to list all registered webhooks for the authenticated agent. Use when you need to view all webhook subscriptions and their configurations. | | `CROWTERMINAL_PING_CROWTERMINAL` | Ping CrowTerminal Service | Tool to check CrowTerminal service availability via a simple ping endpoint. Use when you need to verify the service is online and responding. Returns a pong confirmation with a timestamp. | | `CROWTERMINAL_READ_BULK_MEMORY` | Bulk Read Memory | Tool to read memory for multiple clients at once (up to 50). Use when you need to efficiently retrieve memory data for multiple creators in a single API call. | | `CROWTERMINAL_REGISTER_AGENT` | Register Agent | Tool to self-register a new agent and obtain an API key. Use when you need to create a new agent identity in CrowTerminal. No authentication required for this endpoint. Rate limited to 5 requests per hour per IP address. | | `CROWTERMINAL_RUN_SANDBOX_ENGAGEMENT_ANALYSIS` | Sandbox Engagement Analysis | Tool to run mock engagement analysis in the CrowTerminal sandbox environment. Use when you need to test the engagement analysis workflow without affecting real data or when developing and validating agent configurations. | | `CROWTERMINAL_TEST_WEBHOOK` | Test Webhook | Tool to test a webhook URL by sending a test payload. Use when you need to verify that a webhook endpoint is properly configured and can receive requests. | | `CROWTERMINAL_UPDATE_WEBHOOK` | Update Webhook | Tool to update an existing webhook configuration in CrowTerminal. Use when you need to modify webhook URL, change event subscriptions, or enable/disable a webhook. | | `CROWTERMINAL_VALIDATE_PROPOSED_CHANGES` | Validate Proposed Changes | Tool to validate proposed changes against historical data before updating memory. Use when you need to check if proposed changes contradict historical patterns and receive warnings or recommendations. | | `CROWTERMINAL_VALIDATE_SANDBOX` | Validate Sandbox | Tool to mock validation endpoint for testing in sandbox. Use when you need to test validation logic. Send 'tutorial' in proposedChanges to get a blocked response. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The CrowTerminal MCP server is an implementation of the Model Context Protocol that connects your AI agent to CrowTerminal. It provides structured and secure access so your agent can perform CrowTerminal operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like CrowTerminal - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to CrowTerminal - MCPServerStreamableHTTP connects to the CrowTerminal MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to CrowTerminal tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for CrowTerminal composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["crowterminal"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the CrowTerminal endpoint - The agent uses GPT-5 to interpret user commands and perform CrowTerminal operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent crowterminal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[crowterminal_mcp], instructions=( "You are a CrowTerminal assistant. Use CrowTerminal tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - CrowTerminal API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with CrowTerminal.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for CrowTerminal composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["crowterminal"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent crowterminal_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[crowterminal_mcp], instructions=( "You are a CrowTerminal assistant. Use CrowTerminal tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with CrowTerminal.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with CrowTerminal through Composio's Tool Router. With this setup, your agent can perform real CrowTerminal actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + CrowTerminal for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build CrowTerminal MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/crowterminal/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/crowterminal/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/crowterminal/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/crowterminal/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/crowterminal/framework/codex) - [OpenClaw](https://composio.dev/toolkits/crowterminal/framework/openclaw) - [Hermes](https://composio.dev/toolkits/crowterminal/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/crowterminal/framework/cli) - [Google ADK](https://composio.dev/toolkits/crowterminal/framework/google-adk) - [LangChain](https://composio.dev/toolkits/crowterminal/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/crowterminal/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/crowterminal/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/crowterminal/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/crowterminal/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place. - [1password](https://composio.dev/toolkits/_1password) - 1Password is a password manager and digital vault for storing logins, secrets, notes, and secure documents. It helps individuals and teams protect credentials, share access safely, and reduce password risk. - [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. 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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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and CrowTerminal MCP? With a standalone CrowTerminal MCP server, the agents and LLMs can only access a fixed set of CrowTerminal tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from CrowTerminal and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI 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 CrowTerminal tools. ### Can I manage the permissions and scopes for CrowTerminal while using Tool Router? Yes, absolutely. You can configure which CrowTerminal 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 CrowTerminal data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)