How to integrate Accredible certificates MCP with LangChain

This guide walks you through connecting Accredible certificates to LangChain using the Composio tool router. By the end, you'll have a working Accredible certificates agent that can bulk create certificates for this course, download pdfs for recent issued credentials, list all available certificate templates through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Accredible certificates account through Composio's Accredible certificates MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Accredible certificates logoAccredible certificates
Api Key

Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size.

36 Tools

Introduction

This guide walks you through connecting Accredible certificates to LangChain using the Composio tool router. By the end, you'll have a working Accredible certificates agent that can bulk create certificates for this course, download pdfs for recent issued credentials, list all available certificate templates through natural language commands.

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

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

Also integrate Accredible certificates with

TL;DR

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

The Accredible certificates MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Accredible certificates account. It provides structured and secure access to your digital credentials platform, so your agent can perform actions like issuing certificates, managing groups, generating PDFs, and organizing templates on your behalf.

  • Bulk credential creation and issuance: Let your agent create and issue batches of digital certificates or badges to multiple recipients in one go.
  • Automated group and collection management: Effortlessly create, clone, or delete groups and collections to organize recipients and credentials based on your programs or courses.
  • Credential evidence and reference handling: Add or remove evidence items or references to credentials, supporting richer documentation and verification for each certificate.
  • PDF certificate generation and export: Quickly generate and download PDF copies of credentials, individually or in bulk, for easy offline distribution or archiving.
  • Template listing and selection: Retrieve and browse all available certificate templates, so your agent can help you pick or preview designs for new credentials.

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 Accredible certificates 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 Accredible certificates 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: ['accredible_certificates']
    }
);

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

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "accredible_certificates-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 Accredible certificates MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Accredible certificates 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 Accredible certificates 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 Accredible certificates 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: ['accredible_certificates']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "accredible_certificates-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 Accredible certificates 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 Accredible certificates 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 Accredible certificates action and event your agent gets out of the box.

Bulk Create Credentials (V2)

Tool to bulk create credentials.

Clone Group

Tool to clone an existing group.

Create Attribute Key

Tool to create a new custom attribute key.

Create Collection

Tool to create a new collection.

Create Credential

Tool to create a new credential with optional evidence items and references.

Create Evidence Item

Tool to create a new evidence item for a credential.

Create Group

Tool to create a new group.

Create Reference

Tool to create a new reference for a credential.

Delete Collection

Tool to delete a collection.

Delete Credential

Tool to delete a credential.

Delete Evidence Item

Tool to delete an evidence item from a credential.

Delete Group

Tool to delete a group.

Delete Reference

Tool to delete a specific reference by ID.

Generate PDFs for Credentials

Tool to generate PDFs for multiple credentials.

Get Analytics

Tool to retrieve analytics data for credentials.

Get Credential

Tool to view a credential by ID.

Get Credential Analytics

Tool to view analytics for a specific credential.

Get Department

Tool to view a specific department by ID.

Get Evidence Item

Tool to retrieve a specific evidence item from a credential.

Get Group

Tool to retrieve a specific group by ID.

Get Issuer Details

Tool to retrieve details about the authenticated issuer.

Get Reference

Tool to view a specific reference by ID.

Initialize Badge Designer

Tool to initialize the embedded badge designer.

Initialize Certificate Designer

Tool to initialize the embedded certificate designer.

List Templates

Tool to retrieve a list of all templates.

Search Attribute Keys

Tool to search for attribute keys by various criteria.

Search Collections

Tool to search for collections.

Search Credentials V2

Tool to search for credentials using the v2 API.

Search Departments

Tool to search for departments by various criteria.

Search Designs

Tool to search for designs (certificate/badge templates).

Search Groups

Tool to search for groups in Accredible.

Update Credential

Tool to update an existing credential.

Update Evidence Item

Tool to update an existing evidence item for a credential.

Update Group

Tool to update an existing group.

Update Reference

Tool to update a reference by ID.

View All Skill Categories

Tool to retrieve all skill categories.

FAQ

Frequently asked questions

With a standalone Accredible certificates MCP server, the agents and LLMs can only access a fixed set of Accredible certificates tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Accredible certificates 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 Accredible certificates tools.

Yes, absolutely. You can configure which Accredible certificates 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 Accredible certificates data and credentials are handled as safely as possible.

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