# How to integrate Metatextai MCP with Claude Code ```json { "title": "How to integrate Metatextai MCP with Claude Code", "toolkit": "Metatextai", "toolkit_slug": "metatextai", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/metatextai/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/metatextai/framework/claude-code.md", "updated_at": "2026-05-12T10:18:53.195Z" } ``` ## Introduction Manage your Metatextai directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns. You can do this in two different ways: - Via [Composio Connect](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code) - Direct and easiest approach - Via [Composio SDK](https://docs.composio.dev/docs?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_sdk) - Programmatic approach with more control ## Also integrate Metatextai with - [OpenAI Agents SDK](https://composio.dev/toolkits/metatextai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/metatextai/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/metatextai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/metatextai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/metatextai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/metatextai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/metatextai/framework/cli) - [Google ADK](https://composio.dev/toolkits/metatextai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/metatextai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/metatextai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/metatextai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/metatextai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/metatextai/framework/crew-ai) ## TL;DR - Only one MCP URL to connect multiple apps with Claude Code with zero auth hassles. - Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Handling Large tool responses out of LLM context to minimize context rot. - Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need. ## Connect Metatextai to Claude Code ### Connecting Metatextai to Claude Code using Composio 1. Add the Composio MCP to Claude ```bash claude mcp add --scope user --transport http composio https://connect.composio.dev/mcp ``` ## What is Claude Code? Claude Code is Anthropic's command line developer tool that lets you use Claude directly inside your terminal. Instead of switching between your editor, browser, and chat, you can stay in your project folder and ask Claude to help you build, debug, refactor, and understand code right where you're working. Key features include: - Terminal-Native Experience: Work with Claude directly in your command line without switching contexts - MCP Support: Built-in support for Model Context Protocol servers to extend Claude's capabilities - Project Context: Claude understands your project structure and can read, write, and modify files - Interactive Development: Ask questions, debug code, and get help in real-time while coding - Multi-Platform: Works on macOS, Linux, WSL, and Windows ## What is the Metatextai MCP server, and what's possible with it? The Metatextai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Metatextai account. It provides structured and secure access to powerful NLP and text generation features, so your agent can perform actions like generating high-quality text, analyzing sentiment, summarizing content, and moderating language on your behalf. - Automated content generation: Instruct your agent to craft articles, blogs, product descriptions, or custom text for any scenario with advanced language models. - Sentiment analysis: Let your agent determine the emotional tone of emails, chats, reviews, or social posts to gauge customer or audience sentiment. - Content moderation: Ask your agent to scan and flag inappropriate, toxic, or policy-violating language across user-generated content streams. - Summarization and text condensation: Have your agent summarize lengthy documents, emails, or reports into concise, actionable highlights. - Intent and keyword extraction: Enable your agent to quickly identify key topics, intents, or action items within conversations or documents for smarter automation. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `METATEXTAI_CHAT_COMPLETIONS` | Chat Completions | Tool to generate chat completions. Use when you need OpenAI-compatible conversational responses. | | `METATEXTAI_CLASSIFY` | Classify Text | Tool to classify text. Use when you need to obtain labels and confidence scores from a trained MetatextAI model for given text. | | `METATEXTAI_CREATE_POLICY_GUARDRAILS` | Create Policy Guardrails | Tool to create a policy guardrail. Use when you need to define automated guardrails for content in a specific application. | | `METATEXTAI_DELETE_POLICY_GUARDRAILS` | Delete Guardrail Policy | Tool to delete a guardrail policy. Use when you need to remove a policy by ID for a specific application after confirming valid application and policy IDs. | | `METATEXTAI_EVALUATE` | Evaluate Messages | Tool to evaluate LLM messages against policies/guardrails. Use after generating model output to get violation details or corrections. | | `METATEXTAI_EXTRACT` | Run Extraction | Tool to run information extraction. Use when you need to extract structured data from text. | | `METATEXTAI_GENERATE` | Generate Text | Tool to generate text for a project model. Use when you need LLM completions or chat responses. Supports both prompt and message-based inputs with temperature, stop-sequence, and token limits. | | `METATEXTAI_LIST_APPLICATIONS` | List Applications | Tool to retrieve a list of all existing applications. Use when you need to view application IDs, names, and descriptions. | | `METATEXTAI_LIST_MODELS` | List Models | Tool to retrieve a list of all available models and their supported tasks. Use when you need to choose an appropriate model for chat completions. | | `METATEXTAI_LIST_POLICIES_GUARDRAILS` | List Guardrail Policies | Tool to list all guardrail policies for a specific application. Use after obtaining an application ID to inspect its configured policies. | | `METATEXTAI_LIST_RED_TEAM_TEST_PROBES` | List Red Team Test Probes | Tool to list all available red team test probes. Use when you need to discover available probes for red teaming. | | `METATEXTAI_RUN_RED_TEAM_TEST_SCAN` | Run Red Team Test Scan | Tool to run a vulnerability red-team test scan. Use when you need to execute probes against an application. | | `METATEXTAI_UPDATE_POLICY_GUARDRAILS` | Update Policy Guardrails | Tool to update an existing policy's guardrails. Use when you need to modify a policy's rules after confirming it exists. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Metatextai MCP server is an implementation of the Model Context Protocol that connects Claude Code (and other AI assistants like Claude and Cursor) directly to your Metatextai account. It provides structured and secure access so Claude can perform Metatextai operations on your behalf. 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: - Claude Pro, Max, or API billing enabled Anthropic account - Composio API Key - A Metatextai account - Basic knowledge of Python or TypeScript ### 1. Install Claude Code To install Claude Code, use one of the following methods based on your operating system: ```bash # macOS, Linux, WSL curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell irm https://claude.ai/install.ps1 | iex # Windows CMD curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd ``` ### 2. Set up Claude Code Open a terminal, go to your project folder, and start Claude Code: - Claude Code will open in your terminal - Follow the prompts to sign in with your Anthropic account - Complete the authentication flow - Once authenticated, you can start using Claude Code ```bash cd your-project-folder claude ``` ### 3. Set up environment variables Create a .env file in your project root with the following variables: - COMPOSIO_API_KEY authenticates with Composio (get it from [Composio dashboard](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=api_key&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code)) - USER_ID identifies the user for session management (use any unique identifier) ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here ``` ### 4. Install Composio library No description provided. ```python pip install composio-core python-dotenv ``` ```typescript npm install @composio/core dotenv ``` ### 5. Generate Composio MCP URL No description provided. ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["metatextai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http metatextai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['metatextai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http metatextai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ### 6. Run the script and copy the MCP URL No description provided. ```python python generate_mcp_url.py ``` ```typescript node --loader ts-node/esm generate_mcp_url.ts # or if using tsx tsx generate_mcp_url.ts ``` ### 7. Add Metatextai MCP to Claude Code In your terminal, add the MCP server using the command from the previous step. The command format is: - claude mcp add registers a new MCP server with Claude Code - --transport http specifies that this is an HTTP-based MCP server - The server name (metatextai-composio) is how you'll reference it - The URL points to your Composio Tool Router session - --headers includes your Composio API key for authentication After running the command, close the current Claude Code session and start a new one for the changes to take effect. ```bash claude mcp add --transport http metatextai-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY" # Then restart Claude Code exit claude ``` ### 8. Verify the installation Check that your Metatextai MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your metatextai-composio entry in the list - This confirms that Claude Code can now access Metatextai tools If everything is wired up, you should see your metatextai-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Metatextai The first time you try to use Metatextai tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Metatextai - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Metatextai authorization flow - Return to the terminal and start using Metatextai through Claude Code Once authenticated, you can ask Claude Code to perform Metatextai operations in natural language. For example: - "Analyze sentiment of product reviews" - "Summarize lengthy customer feedback emails" - "Detect inappropriate language in forum posts" ## Complete Code ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["metatextai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http metatextai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['metatextai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http metatextai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Metatextai with Claude Code using Composio's MCP server. Now you can interact with Metatextai directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Metatextai operations - Secure authentication through Composio's managed MCP - Tool Router for dynamic tool discovery and execution Next steps: - Try asking Claude Code to perform various Metatextai operations - Add more toolkits to your Tool Router session for multi-app workflows - Integrate this setup into your development workflow for increased productivity You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities. ## How to build Metatextai MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/metatextai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/metatextai/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/metatextai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/metatextai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/metatextai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/metatextai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/metatextai/framework/cli) - [Google ADK](https://composio.dev/toolkits/metatextai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/metatextai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/metatextai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/metatextai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/metatextai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/metatextai/framework/crew-ai) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. - [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Metatextai MCP? With a standalone Metatextai MCP server, the agents and LLMs can only access a fixed set of Metatextai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Metatextai and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Claude Code? Yes, you can. Claude Code 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 Metatextai tools. ### Can I manage the permissions and scopes for Metatextai while using Tool Router? Yes, absolutely. You can configure which Metatextai 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 Metatextai data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)