How to integrate CertSeal MCP with LangChain

This guide walks you through connecting CertSeal to LangChain using the Composio tool router. By the end, you'll have a working CertSeal agent that can issue certificates for completed training batch, list pending certseal certificate recipients, create webhook for issued certificates through natural language commands. This guide will help you understand how to give your LangChain agent real control over a CertSeal account through Composio's CertSeal MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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CertSeal is an API platform for issuing and managing verifiable digital certificates. Use it to automate trusted certificate workflows for recipients, batches, designs, and webhooks.

21 Tools

Introduction

This guide walks you through connecting CertSeal to LangChain using the Composio tool router. By the end, you'll have a working CertSeal agent that can issue certificates for completed training batch, list pending certseal certificate recipients, create webhook for issued certificates through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a CertSeal account through Composio's CertSeal MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate CertSeal with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your CertSeal project to Composio
  • Create a Tool Router MCP session for CertSeal
  • Initialize an MCP client and retrieve CertSeal tools
  • Build a LangChain agent that can interact with CertSeal
  • 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 CertSeal MCP server, and what's possible with it?

The CertSeal MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CertSeal account. It provides structured and secure access to your certificate workspace, so your agent can create batches, issue certificates, manage recipients, send certificate emails, and monitor webhook subscriptions on your behalf.

  • Certificate batch management: Have your agent create certificate batches from reusable designs, review existing batches, and archive or restore them as needed.
  • Certificate issuing and delivery: Instruct your agent to issue certificates to up to 100 recipients at once, with the option to send certificate emails immediately or later.
  • Recipient record management: Let the agent list, review, update, or delete certificate recipients and check their email delivery status.
  • Certificate lookup and verification: Direct your agent to find an issued certificate and review its recipient, batch, design, and completed certificate details.
  • Webhook event monitoring: Have your agent create, inspect, test, rotate signing secrets for, or delete webhook subscriptions for certificate events.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with CertSeal functionality through MCP
6

Initialize Composio client

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()
    });
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 CertSeal tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['cert_seal']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to CertSeal 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 CertSeal tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "cert_seal-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our CertSeal MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available CertSeal tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any CertSeal 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with CertSeal and LangChain:

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: ['cert_seal']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "cert_seal-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 CertSeal 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 CertSeal 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.
TOOLS

Supported Tools

Every CertSeal action and event your agent gets out of the box.

Create Batch

Create a persistent certificate batch from an existing CertSeal design and optional email template.

Create Webhook Subscription

Create a persistent webhook subscription for selected certificate events.

Delete Recipient

Permanently delete an issued recipient from an active batch.

Delete Webhook Subscription

Permanently delete a webhook subscription and stop future deliveries.

Get Batch

Get one active or archived certificate batch by ID.

Get Certificate

Look up an issued certificate using either its human-readable certificate ID or its public-viewer share token, and return its recipient, batch, design, and resolved variables.

Get Current Workspace

Verify the connected CertSeal API key and return the workspace ID and username it belongs to.

Get Recipient

Get one issued certificate recipient record by batch ID and recipient ID.

Get Webhook Subscription

Get one webhook subscription by ID.

Issue and Send Certificates

Atomically issue certificates for 1-100 recipients and queue email delivery for every created certificate.

Issue Certificates

Atomically issue certificates without sending email for 1-100 recipients in one active batch.

List Batches

Return one newest-first page of certificate batches in the connected workspace, optionally filtered by archive state.

List Designs

Return one newest-first page of reusable certificate designs.

List Recipients

Return one page of issued certificate recipients in a batch, optionally filtered by email delivery status.

List Webhook Subscriptions

Return one newest-first page of webhook subscriptions.

Rotate Webhook Signing Secret

Immediately invalidate a webhook subscription's current signing secret and replace it.

Send Certificate Emails

Sequentially queue real certificate emails for 1-25 existing recipients in one active batch.

Send Recipient Certificate Email

Queue asynchronous certificate email delivery to one recipient.

Set Batch Archived State

Idempotently archive or unarchive a batch.

Test Webhook Subscription

Enqueue one synthetic signed event through CertSeal's normal webhook dispatcher.

Update Recipient

Partially update an issued certificate recipient.

FRAMEWORKS

How to build CertSeal MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use CertSeal MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use CertSeal MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use CertSeal MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use CertSeal MCP with Claude Cowork

Codex logo

Codex

Use CertSeal MCP with Codex

OpenClaw logo

OpenClaw

Use CertSeal MCP with OpenClaw

Hermes logo

Hermes

Use CertSeal MCP with Hermes

CLI logo

CLI

Use CertSeal MCP with CLI

Google ADK logo

Google ADK

Use CertSeal MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use CertSeal MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use CertSeal MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use CertSeal MCP with LlamaIndex

CrewAI logo

CrewAI

Use CertSeal MCP with CrewAI

FAQ

Frequently asked questions

With a standalone CertSeal MCP server, the agents and LLMs can only access a fixed set of CertSeal tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from CertSeal and many other apps based on the task at hand, all through a single MCP endpoint.

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 CertSeal tools.

Yes, absolutely. You can configure which CertSeal 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.

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 CertSeal data and credentials are handled as safely as possible.

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