# How to integrate Langbase MCP with Claude Code ```json { "title": "How to integrate Langbase MCP with Claude Code", "toolkit": "Langbase", "toolkit_slug": "langbase", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/langbase/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/langbase/framework/claude-code.md", "updated_at": "2026-05-12T10:17:11.733Z" } ``` ## Introduction Manage your Langbase 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 Langbase with - [OpenAI Agents SDK](https://composio.dev/toolkits/langbase/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/langbase/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/langbase/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/langbase/framework/codex) - [OpenClaw](https://composio.dev/toolkits/langbase/framework/openclaw) - [Hermes](https://composio.dev/toolkits/langbase/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/langbase/framework/cli) - [Google ADK](https://composio.dev/toolkits/langbase/framework/google-adk) - [LangChain](https://composio.dev/toolkits/langbase/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/langbase/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/langbase/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/langbase/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/langbase/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 Langbase to Claude Code ### Connecting Langbase 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 Langbase MCP server, and what's possible with it? The Langbase MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Langbase account. It provides structured and secure access to your Langbase projects, letting your agent split content, manage memories, orchestrate threads, and build complex AI data flows on your behalf. - Content chunking and processing: Automatically split large documents or text into manageable chunks for downstream processing and efficient AI handling. - Memory management: Create, list, or delete memory objects so your agent can organize and retrieve contextual information as needed. - Conversation thread orchestration: Start new conversation threads, fetch thread details, or list messages—making it easy for your agent to manage dialogue history and context. - Pipe creation and listing: Let your agent create new processing pipes or retrieve all existing pipes, enabling seamless orchestration of data and AI workflows. - Document and data retrieval: List all documents stored in a memory, giving your agent access to relevant information and knowledge for any task. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LANGBASE_APPEND_THREAD_MESSAGES` | Append Thread Messages | Tool to add new messages to an existing conversation thread. Use when continuing a chat session or adding context to a thread. | | `LANGBASE_CHECK_HEALTH` | Check API Health | Tool to check the health status of the Langbase API service. Use when you need to verify API availability. | | `LANGBASE_CHUNKER_SPLIT_CONTENT` | Split Content into Chunks | Tool to split content into smaller chunks. Use when processing large text segments to fit downstream limits. | | `LANGBASE_CREATE_THREAD` | Create Thread | Tool to create a new conversation thread. Use when starting a fresh chat session or grouping messages into a distinct thread. | | `LANGBASE_DELETE_THREAD` | Delete Thread | Tool to delete a thread that is no longer needed to manage conversation history. Use when you need to permanently remove a thread by its ID. | | `LANGBASE_DELETE_THREAD_MESSAGE` | Delete Thread Message | Tool to delete a specific message from a conversation thread. Use when you need to remove a message from a thread by its ID. | | `LANGBASE_DOCUMENT_LIST` | List Documents in Memory | Tool to list documents in a specific memory. Use when you need to fetch document metadata (and optionally vectors) from a memory after confirming its name. Supports pagination via limit and startAfter parameters. | | `LANGBASE_GET_PIPE` | Get Pipe Details | Tool to retrieve details of a specific pipe by owner and name. Use when you need to fetch configuration and settings of a particular pipe. | | `LANGBASE_GET_THREAD` | Get Thread Details | Tool to retrieve details of a specific conversation thread. Use when you need the full thread details by its ID after confirming its existence. | | `LANGBASE_LIST_MODELS` | List Available Models | Tool to get available AI models supported by Langbase. Use to discover text and image generation models from various providers. | | `LANGBASE_LIST_THREAD_MESSAGES` | List Thread Messages | Tool to list all messages in a conversation thread. Use after obtaining the thread ID to fetch its messages. | | `LANGBASE_LIST_TRACES` | List Execution Traces | Tool to get execution traces for debugging and monitoring pipe runs. Use when you need to retrieve trace logs for a specific primitive. | | `LANGBASE_MEMORY_CREATE` | Create Memory | Tool to create a new memory. Use when storing a new memory record in Langbase after confirming memory details. | | `LANGBASE_MEMORY_DELETE` | Delete Memory | Tool to delete a specific memory. Use when you need to permanently remove a stored memory by its name. | | `LANGBASE_MEMORY_LIST` | List Memories | Tool to list all memory objects. Use when you need to fetch stored memories for context retrieval. | | `LANGBASE_PIPE_CREATE` | Create a new pipe | Tool to create a new pipe. Use after configuring pipe parameters. Returns an array of pipe objects, each including API key and URL. | | `LANGBASE_PIPE_LIST` | List all pipes | Tool to list all pipes. Use after authentication to retrieve the complete list of pipes. Returns an array of pipe objects; callers must handle list iteration. | | `LANGBASE_UPDATE_PIPE` | Update an existing pipe | Tool to update an existing pipe's configuration on Langbase. Use when modifying model settings, parameters, prompts, tools, or memory. The pipe must already exist. | | `LANGBASE_UPDATE_THREAD` | Update Thread Metadata | Tool to update an existing thread's metadata. Use when you need to modify metadata fields for managing and organizing conversation threads. | | `LANGBASE_UPDATE_THREAD_MESSAGE` | Update Thread Message | Tool to update an existing message in a conversation thread. Use when you need to modify the content or metadata of a specific message. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Langbase 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 Langbase account. It provides structured and secure access so Claude can perform Langbase 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 Langbase 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=["langbase"], ) 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 langbase-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: ['langbase'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http langbase-composio "${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 Langbase 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 (langbase-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 langbase-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 Langbase MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your langbase-composio entry in the list - This confirms that Claude Code can now access Langbase tools If everything is wired up, you should see your langbase-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Langbase The first time you try to use Langbase tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Langbase - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Langbase authorization flow - Return to the terminal and start using Langbase through Claude Code Once authenticated, you can ask Claude Code to perform Langbase operations in natural language. For example: - "Chunk a long document for semantic search" - "List all conversation threads for this agent" - "Create a new memory for session data" ## 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=["langbase"], ) 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 langbase-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: ['langbase'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http langbase-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Langbase with Claude Code using Composio's MCP server. Now you can interact with Langbase directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Langbase 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 Langbase 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 Langbase MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/langbase/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/langbase/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/langbase/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/langbase/framework/codex) - [OpenClaw](https://composio.dev/toolkits/langbase/framework/openclaw) - [Hermes](https://composio.dev/toolkits/langbase/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/langbase/framework/cli) - [Google ADK](https://composio.dev/toolkits/langbase/framework/google-adk) - [LangChain](https://composio.dev/toolkits/langbase/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/langbase/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/langbase/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/langbase/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/langbase/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 Langbase MCP? With a standalone Langbase MCP server, the agents and LLMs can only access a fixed set of Langbase tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Langbase 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 Langbase tools. ### Can I manage the permissions and scopes for Langbase while using Tool Router? Yes, absolutely. You can configure which Langbase 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 Langbase data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)