# How to integrate Xata MCP with CrewAI ```json { "title": "How to integrate Xata MCP with CrewAI", "toolkit": "Xata", "toolkit_slug": "xata", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/xata/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/xata/framework/crew-ai.md", "updated_at": "2026-03-29T06:55:54.468Z" } ``` ## Introduction This guide walks you through connecting Xata to CrewAI using the Composio tool router. By the end, you'll have a working Xata agent that can list all records from the customers table, insert a new order with status pending, update the email field for customer 101 through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Xata account through Composio's Xata MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Xata with - [OpenAI Agents SDK](https://composio.dev/toolkits/xata/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/xata/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/xata/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/xata/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/xata/framework/codex) - [OpenClaw](https://composio.dev/toolkits/xata/framework/openclaw) - [Hermes](https://composio.dev/toolkits/xata/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/xata/framework/cli) - [Google ADK](https://composio.dev/toolkits/xata/framework/google-adk) - [LangChain](https://composio.dev/toolkits/xata/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/xata/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/xata/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/xata/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Xata connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Xata - Build a conversational loop where your agent can execute Xata operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Xata MCP server, and what's possible with it? The Xata MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Xata account. It provides structured and secure access so your agent can perform Xata operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `XATA_GET_ORGANIZATION` | Get Organization Details | Tool to retrieve detailed information about a specific organization by its ID. Use when you need to check organization status, name, billing information, or admin settings. | | `XATA_GET_PROJECT_LIMITS` | Get project resource limits | Tool to retrieve the default resource limits for projects in a specified organization. Use when you need to check maximum instances, storage, allowed regions, or branch limits for a Xata organization. | | `XATA_LIST_EXTENSIONS` | List Extensions | Tool to get available PostgreSQL extensions for a specific image. Use when you need to check which extensions can be enabled for a particular PostgreSQL version in an organization. | | `XATA_LIST_IMAGES` | List Available Images | Tool to retrieve a list of all available postgres images for a specified organization and region. Use when you need to check which database images are available for deployment. | | `XATA_LIST_INSTANCE_TYPES` | List Instance Types | Tool to retrieve a list of all instance types for the specified organization and region. Use when you need to check available instance types and their configurations including CPU, RAM, and pricing. | | `XATA_LIST_ORGANIZATION_API_KEYS` | List Organization API Keys | Tool to retrieve a list of API keys for a specific Xata organization. Use when you need to view all API keys associated with an organization. | | `XATA_LIST_AVAILABLE_REGIONS` | List Available Regions | Tool to retrieve a list of all regions where new branches can be deployed for the specified organization. Use when you need to check which regions are available for deploying new branches. | | `XATA_UPDATE_ORGANIZATION` | Update Organization | Tool to update information for an existing organization, such as its name. Use when you need to modify organization details. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Xata MCP server is an implementation of the Model Context Protocol that connects your AI agent to Xata. It provides structured and secure access so your agent can perform Xata 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 and API key - A Xata connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Xata via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Xata MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Xata **What's happening:** - You create a Xata only session through Composio - Composio returns an MCP HTTP URL that exposes Xata tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["xata"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["xata"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Xata through Composio's Tool Router. The agent can perform Xata operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Xata MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/xata/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/xata/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/xata/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/xata/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/xata/framework/codex) - [OpenClaw](https://composio.dev/toolkits/xata/framework/openclaw) - [Hermes](https://composio.dev/toolkits/xata/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/xata/framework/cli) - [Google ADK](https://composio.dev/toolkits/xata/framework/google-adk) - [LangChain](https://composio.dev/toolkits/xata/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/xata/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/xata/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/xata/framework/llama-index) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [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. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [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. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [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. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters. - [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. - [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort. - [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations. - [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Xata MCP? With a standalone Xata MCP server, the agents and LLMs can only access a fixed set of Xata tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Xata and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Xata tools. ### Can I manage the permissions and scopes for Xata while using Tool Router? Yes, absolutely. You can configure which Xata 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 Xata data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)