# How to integrate Rocketadmin MCP with LangChain ```json { "title": "How to integrate Rocketadmin MCP with LangChain", "toolkit": "Rocketadmin", "toolkit_slug": "rocketadmin", "framework": "LangChain", "framework_slug": "langchain", "url": "https://composio.dev/toolkits/rocketadmin/framework/langchain", "markdown_url": "https://composio.dev/toolkits/rocketadmin/framework/langchain.md", "updated_at": "2026-03-29T06:48:20.110Z" } ``` ## Introduction This guide walks you through connecting Rocketadmin to LangChain using the Composio tool router. By the end, you'll have a working Rocketadmin agent that can list all records in orders table, update user email in rocketadmin database, delete inactive users from customers table through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Rocketadmin account through Composio's Rocketadmin MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Rocketadmin with - [OpenAI Agents SDK](https://composio.dev/toolkits/rocketadmin/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/rocketadmin/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/rocketadmin/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/rocketadmin/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/rocketadmin/framework/codex) - [OpenClaw](https://composio.dev/toolkits/rocketadmin/framework/openclaw) - [Hermes](https://composio.dev/toolkits/rocketadmin/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/rocketadmin/framework/cli) - [Google ADK](https://composio.dev/toolkits/rocketadmin/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/rocketadmin/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/rocketadmin/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/rocketadmin/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/rocketadmin/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Connect your Rocketadmin project to Composio - Create a Tool Router MCP session for Rocketadmin - Initialize an MCP client and retrieve Rocketadmin tools - Build a LangChain agent that can interact with Rocketadmin - Set up an interactive chat interface for testing ## What is LangChain? LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context. Key features include: - Agent Framework: Build agents that can use tools and make decisions - MCP Integration: Connect to external services through Model Context Protocol adapters - Memory Management: Maintain conversation history across interactions - Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers ## What is the Rocketadmin MCP server, and what's possible with it? The Rocketadmin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rocketadmin account. It provides structured and secure access so your agent can perform Rocketadmin operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ROCKETADMIN_CHECK_API_KEY` | Check API Key | Tool to validate whether an API key is legitimate and active. Use when you need to verify that the current API key is valid before performing other operations. | | `ROCKETADMIN_DELETE_TABLE_ROW` | Delete Table Row by Primary Key | Tool to delete a single row from a database table by primary key. Use when you need to remove a specific row identified by its ID. This is an API+ feature. | | `ROCKETADMIN_GET_COMPANY_INVITE_VERIFY` | Verify Company Invitation Link | Tool to check if a company invitation verification link is available and valid. Use when you need to verify a company invitation token before accepting the invitation. | | `ROCKETADMIN_GET_CONNECTIONS` | Get All Connections | Tool to retrieve all database connections where the user has access. Use when you need to discover available connections in the user's workspace. | | `ROCKETADMIN_GET_CONNECTION_TABLES` | Get Connection Tables | Tool to retrieve all tables from a database connection. Use when you need to discover available tables in a specific connection. | | `ROCKETADMIN_GET_CONNECTION_TABLES_V2` | Get Connection Tables V2 | Tool to retrieve all tables in a database connection organized with category information. Use when you need to discover available tables in a specific connection. | | `ROCKETADMIN_VALIDATE_CONNECTION_TOKEN` | Validate Connection Token | Tool to validate if connection agent token is valid. Use when you need to check if the current connection token is still authorized and active. | | `ROCKETADMIN_GET_HELLO` | Get Hello | Tool to retrieve a hello greeting message from the Rocketadmin API. Use when testing API connectivity or getting a simple greeting response. | | `ROCKETADMIN_GET_SAAS_USERS_BY_EMAIL` | Get SaaS Users by Email | Tool to retrieve user information by email address. Use when you need to get details about a specific user by their email. | | `ROCKETADMIN_GET_TABLE_ROW_BY_PRIMARY_KEY` | Get Table Row by Primary Key | Tool to retrieve a single row from a database table using its primary key. Use when you need to fetch specific row data by its ID from a RocketAdmin connection. | | `ROCKETADMIN_GET_ALL_TABLE_ROWS` | Get All Table Rows | Tool to retrieve all rows from a database table with support for pagination, filtering, and sorting. Use when you need to fetch multiple rows from a RocketAdmin connection table. | | `ROCKETADMIN_GET_TABLE_STRUCTURE` | Get Table Structure | Tool to retrieve the structural information of a database table including columns, data types, constraints, and relationships. Use when you need to understand the schema of a specific table in a RocketAdmin connection. | | `ROCKETADMIN_VERIFY_USER_EMAIL` | Verify User Email | Tool to verify a user's email address using a verification token. Use when you need to confirm a user's email address after registration or email change. | | `ROCKETADMIN_EXPORT_TABLE_AS_CSV` | Export Table as CSV | Tool to export table data as a CSV file from RocketAdmin. Use when you need to download table data in CSV format. This is an API+ feature that exports the specified table with optional filtering, pagination, and sorting. | | `ROCKETADMIN_ADD_ROW_TO_TABLE` | Add Row to Table | Tool to add a new row to a database table in RocketAdmin. Use when you need to insert data into a specific table. This is an API+ feature that creates a new row with the provided field values. | | `ROCKETADMIN_FIND_TABLE_ROWS_WITH_FILTERS` | Find Table Rows with Filters | Tool to retrieve all rows from a database table with filter parameters in the request body. Use when you need to fetch rows with complex filtering conditions. This is an API+ feature that supports advanced filtering with operators like equals, greater than, less than, like, in, etc. | | `ROCKETADMIN_UPDATE_TABLE_ROW_BY_PRIMARY_KEY` | Update Table Row by Primary Key | Tool to update a row in a database table by its primary key. Use when you need to modify existing row data in a RocketAdmin connection. This is an API+ feature. | | `ROCKETADMIN_DELETE_MULTIPLE_TABLE_ROWS` | Delete Multiple Table Rows | Tool to delete multiple rows from a table by primary key. Use when you need to batch delete rows identified by their primary keys. This is an API+ feature. | | `ROCKETADMIN_UPDATE_MULTIPLE_TABLE_ROWS` | Update Multiple Table Rows | Tool to update multiple rows in a table by primary key. Use when you need to batch update rows identified by their primary keys with the same new values. This is an API+ feature. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Rocketadmin MCP server is an implementation of the Model Context Protocol that connects your AI agent to Rocketadmin. It provides structured and secure access so your agent can perform Rocketadmin 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 No description provided. ### 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 No description provided. ```python pip install composio-langchain langchain-mcp-adapters langchain python-dotenv ``` ```typescript npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio's API - COMPOSIO_USER_ID identifies the user for session management - OPENAI_API_KEY enables access to OpenAI's language models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_composio_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies No description provided. ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; dotenv.config(); ``` ### 5. Initialize Composio client What's happening: - We're loading the COMPOSIO_API_KEY from environment variables and validating it exists - Creating a Composio instance that will manage our connection to Rocketadmin tools - Validating that COMPOSIO_USER_ID is also set before proceeding ```python async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") ``` ```typescript const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); ``` ### 6. Create a Tool Router session What's happening: - We're creating a Tool Router session that gives your agent access to Rocketadmin 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 - This approach allows the agent to dynamically load and use Rocketadmin tools as needed ```python # Create Tool Router session for Rocketadmin session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['rocketadmin'] ) url = session.mcp.url ``` ```typescript const session = await composio.create( userId as string, { toolkits: ['rocketadmin'] } ); const url = session.mcp.url; ``` ### 7. Configure the agent with the MCP URL No description provided. ```python client = MultiServerMCPClient({ "rocketadmin-agent": { "transport": "streamable_http", "url": session.mcp.url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) ``` ```typescript const client = new MultiServerMCPClient({ "rocketadmin-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); ``` ### 8. Set up interactive chat interface No description provided. ```python conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Rocketadmin related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") ``` ```typescript let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Rocketadmin related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\n👋 Session ended.'); process.exit(0); }); ``` ### 9. Run the application No description provided. ```python if __name__ == "__main__": asyncio.run(main()) ``` ```typescript main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Complete Code ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['rocketadmin'] ) url = session.mcp.url client = MultiServerMCPClient({ "rocketadmin-agent": { "transport": "streamable_http", "url": url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Rocketadmin related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") if __name__ == "__main__": asyncio.run(main()) ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); const session = await composio.create( userId as string, { toolkits: ['rocketadmin'] } ); const url = session.mcp.url; const client = new MultiServerMCPClient({ "rocketadmin-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Rocketadmin related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\nSession ended.'); process.exit(0); }); } main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Conclusion You've successfully built a LangChain agent that can interact with Rocketadmin through Composio's Tool Router. Key features of this implementation: - Dynamic tool loading through Composio's Tool Router - Conversation history maintenance for context-aware responses - Async Python provides clean, efficient execution of agent workflows You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Rocketadmin MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/rocketadmin/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/rocketadmin/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/rocketadmin/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/rocketadmin/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/rocketadmin/framework/codex) - [OpenClaw](https://composio.dev/toolkits/rocketadmin/framework/openclaw) - [Hermes](https://composio.dev/toolkits/rocketadmin/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/rocketadmin/framework/cli) - [Google ADK](https://composio.dev/toolkits/rocketadmin/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/rocketadmin/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/rocketadmin/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/rocketadmin/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/rocketadmin/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. - [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. - [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. - [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. 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. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Rocketadmin MCP? With a standalone Rocketadmin MCP server, the agents and LLMs can only access a fixed set of Rocketadmin tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Rocketadmin and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with LangChain? Yes, you can. LangChain 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 Rocketadmin tools. ### Can I manage the permissions and scopes for Rocketadmin while using Tool Router? Yes, absolutely. You can configure which Rocketadmin 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 Rocketadmin data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)