# How to integrate Rkvst MCP with LangChain ```json { "title": "How to integrate Rkvst MCP with LangChain", "toolkit": "Rkvst", "toolkit_slug": "rkvst", "framework": "LangChain", "framework_slug": "langchain", "url": "https://composio.dev/toolkits/rkvst/framework/langchain", "markdown_url": "https://composio.dev/toolkits/rkvst/framework/langchain.md", "updated_at": "2026-05-12T10:24:16.606Z" } ``` ## Introduction This guide walks you through connecting Rkvst to LangChain using the Composio tool router. By the end, you'll have a working Rkvst agent that can download attachment from latest asset event, show details of asset by uuid, retrieve metadata for a specific event through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Rkvst account through Composio's Rkvst MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Rkvst with - [OpenAI Agents SDK](https://composio.dev/toolkits/rkvst/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/rkvst/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/rkvst/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/rkvst/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/rkvst/framework/codex) - [OpenClaw](https://composio.dev/toolkits/rkvst/framework/openclaw) - [Hermes](https://composio.dev/toolkits/rkvst/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/rkvst/framework/cli) - [Google ADK](https://composio.dev/toolkits/rkvst/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/rkvst/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/rkvst/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/rkvst/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/rkvst/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Connect your Rkvst project to Composio - Create a Tool Router MCP session for Rkvst - Initialize an MCP client and retrieve Rkvst tools - Build a LangChain agent that can interact with Rkvst - 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 Rkvst MCP server, and what's possible with it? The Rkvst MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rkvst account. It provides structured and secure access to your supply chain evidence data, so your agent can perform actions like retrieving asset details, verifying event authenticity, downloading attachments, and managing chain of custody records on your behalf. - Asset and event retrieval: Instantly fetch detailed information about assets, events, or public assets by their unique identifiers, including historical state data. - Chain of custody verification: Have your agent review event metadata and associated trails to ensure data authenticity and transparency throughout your supply chain. - Download evidence attachments: Let your agent securely download raw binary attachments associated with supply chain events for auditing or record-keeping. - App and member inspection: Effortlessly pull configuration and credential details for app registrations or retrieve member and IAM subject information to monitor access and permissions. - Tenancy and blob management: Retrieve tenancy details or access specific data blobs related to your supply chain records for better oversight and control. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `RKVST_DOWNLOAD_EVENT_ATTACHMENT` | Download Event Attachment | Tool to download an attachment from a specified Event on an Asset. Use when you have asset_uuid, event_uuid, and attachment uuid, and want the raw binary content. | | `RKVST_GET_APP_REGISTRATION` | Get App Registration | Tool to retrieve details for a given App Registration ID. Use after obtaining the application's UUID to inspect its configuration and credentials. | | `RKVST_GET_ASSET` | Get Asset | Tool to retrieve details for a given Asset. Use after you have its UUID; set `at_time` to get historical state. | | `RKVST_GET_BLOB` | Get Blob | Tool to retrieve details of a Blob by ID. Use after confirming the Blob ID. | | `RKVST_GET_EVENT` | Get Event | Tool to retrieve details of a specified Event. Use when you need full metadata, attributes, and associated trails of an existing event in DataTrails. | | `RKVST_GET_IAM_SUBJECT` | Get IAM Subject | Tool to retrieve IAM subject details. Use when you need to fetch details for a specific IAM subject by its ID. | | `RKVST_GET_MEMBER` | Get Member | Tool to retrieve details for a given Member ID. Use after obtaining a valid member UUID. | | `RKVST_GET_PUBLIC_ASSET` | Get Public Asset | Tool to retrieve details for a public asset. Use when you have a public asset UUID. | | `RKVST_GET_PUBLIC_ASSET_EVENT` | Get Public Asset Event | Tool to retrieve a specific public asset event. Use when you have public asset and event UUIDs. | | `RKVST_GET_TENANCY` | Get Tenancy | Tool to retrieve details for a specific tenancy. Use after you have a tenancy ID. | | `RKVST_LIST_APP_REGISTRATIONS` | List App Registrations | Tool to list all App Registrations. Use after acquiring a valid auth token to retrieve the applications registered under the tenant. | | `RKVST_LIST_ASSET_EVENTS` | List Asset Events | Tool to list events for a specified asset. Use after confirming you have the asset UUID. | | `RKVST_LIST_ASSETS` | List Assets | Tool to list all Assets with optional pagination and filters. Use when you need to retrieve asset metadata in batches via page_size and next_page_token. | | `RKVST_LIST_IAM_SUBJECTS` | List IAM Subjects | Tool to list IAM subjects. Use when you need to retrieve provider-managed subjects, optionally filtering by display name. Use after authenticating the tenant. | | `RKVST_LIST_MEMBERS` | List Members | Tool to list all tenant Members. Use when you need an overview of all users in your tenant. | | `RKVST_LIST_PUBLIC_ASSET_EVENTS` | List Public Asset Events | Tool to list events for a specific public asset. Use when you need to retrieve the event history of a public asset after confirming its public availability. | | `RKVST_LIST_PUBLIC_ASSETS` | List Public Assets | Tool to list all Public Assets. Use when you need to retrieve all assets made public. | | `RKVST_LIST_TENANCIES` | List Tenancies | Tool to list all tenancies. Use after authenticating to retrieve the tenancy records available to the current tenant. | | `RKVST_PROMOTE_MEMBER` | Promote Member | Tool to promote a tenant member to OWNER role. Use when you need to elevate permissions after verifying the member identity. | | `RKVST_RETRIEVE_ASSET_ATTACHMENT_METADATA` | Retrieve asset attachment metadata | Tool to retrieve metadata for an attachment on a specified Asset. Use after obtaining asset and attachment UUIDs. | | `RKVST_RETRIEVE_CAPS` | Retrieve Caps | Tool to retrieve resource limit quotas for a specified service. Use when checking quota availability before provisioning resources. | | `RKVST_RETRIEVE_EVENT_ATTACHMENT_METADATA` | Retrieve Event Attachment Metadata | Tool to retrieve metadata for an attachment on a specified Event. Use when you have asset_uuid, event_uuid, and attachment uuid and need details like size, hash, and scan status. | | `RKVST_SEARCH_EVENTS` | Search Events | Tool to search events matching filter criteria with pagination. Use when retrieving events by OData filter and paging through large result sets. | | `RKVST_UPDATE_APP_REGISTRATION` | Update App Registration | Tool to update an application's display name or custom claims. Use after retrieving an App Registration to apply partial updates to its configuration. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Rkvst MCP server is an implementation of the Model Context Protocol that connects your AI agent to Rkvst. It provides structured and secure access so your agent can perform Rkvst 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 Rkvst 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 Rkvst 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 Rkvst tools as needed ```python # Create Tool Router session for Rkvst session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['rkvst'] ) url = session.mcp.url ``` ```typescript const session = await composio.create( userId as string, { toolkits: ['rkvst'] } ); const url = session.mcp.url; ``` ### 7. Configure the agent with the MCP URL No description provided. ```python client = MultiServerMCPClient({ "rkvst-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({ "rkvst-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 Rkvst 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 Rkvst 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=['rkvst'] ) url = session.mcp.url client = MultiServerMCPClient({ "rkvst-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 Rkvst 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: ['rkvst'] } ); const url = session.mcp.url; const client = new MultiServerMCPClient({ "rkvst-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 Rkvst 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 Rkvst 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 Rkvst MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/rkvst/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/rkvst/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/rkvst/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/rkvst/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/rkvst/framework/codex) - [OpenClaw](https://composio.dev/toolkits/rkvst/framework/openclaw) - [Hermes](https://composio.dev/toolkits/rkvst/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/rkvst/framework/cli) - [Google ADK](https://composio.dev/toolkits/rkvst/framework/google-adk) - [Vercel AI SDK](https://composio.dev/toolkits/rkvst/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/rkvst/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/rkvst/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/rkvst/framework/crew-ai) ## Related Toolkits - [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. - [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. - [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. - [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. - [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows. - [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations. - [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements. - [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints. - [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots. - [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches. - [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand. - [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance. - [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows. - [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses. - [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Rkvst MCP? With a standalone Rkvst MCP server, the agents and LLMs can only access a fixed set of Rkvst tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Rkvst 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 Rkvst tools. ### Can I manage the permissions and scopes for Rkvst while using Tool Router? Yes, absolutely. You can configure which Rkvst 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 Rkvst data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)