# How to integrate Certifier MCP with LangChain

```json
{
  "title": "How to integrate Certifier MCP with LangChain",
  "toolkit": "Certifier",
  "toolkit_slug": "certifier",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/certifier/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/certifier/framework/langchain.md",
  "updated_at": "2026-05-12T10:05:58.722Z"
}
```

## Introduction

This guide walks you through connecting Certifier to LangChain using the Composio tool router. By the end, you'll have a working Certifier agent that can create and send a certificate for webinar attendees, list all credential designs available to your team, get all credentials issued to a specific user through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Certifier account through Composio's Certifier MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Certifier with

- [OpenAI Agents SDK](https://composio.dev/toolkits/certifier/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/certifier/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/certifier/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/certifier/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/certifier/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/certifier/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/certifier/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/certifier/framework/cli)
- [Google ADK](https://composio.dev/toolkits/certifier/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/certifier/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/certifier/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/certifier/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/certifier/framework/crew-ai)

## TL;DR

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

The Certifier MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Certifier account. It provides structured and secure access to your digital credential management, so your agent can create, issue, send, and organize certificates and credentials on your behalf.
- Instant credential creation and issuing: Instruct your agent to create, issue, and send new digital certificates or badges to recipients in a single seamless workflow.
- Automated credential delivery: Have your agent send published credentials directly to recipients via email with just a simple command.
- Credential activity insights: Let the agent retrieve and summarize interaction events—like views or downloads—for any issued credential.
- Design and template management: Ask your agent to list available certificate or badge designs, making it easy to select and use templates for new credentials.
- Group and recipient organization: Enable your agent to fetch and organize groups of recipients, streamlining large-scale credential distribution.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CERTIFIER_CREATE_ISSUE_SEND_CREDENTIAL` | Create, issue, and send credential | Tool to create, issue, and send a credential in a single request. Use when group ID and recipient details are ready. |
| `CERTIFIER_LIST_ATTRIBUTES` | List Attributes | Tool to list all attributes available for credentials. Use when you need to retrieve attribute definitions with pagination. |
| `CERTIFIER_LIST_CREDENTIAL_INTERACTIONS` | List Credential Interactions | Tool to list credential interactions. Use when you need to retrieve interaction events for a specific credential, with optional filtering and pagination. |
| `CERTIFIER_LIST_CREDENTIALS` | List Credentials | Tool to list credentials. Use after authentication to retrieve paginated credentials. |
| `CERTIFIER_LIST_DESIGNS` | List Designs | Tool to list all designs. Use after authentication to retrieve certificate and badge designs with pagination. |
| `CERTIFIER_LIST_EMAIL_TEMPLATES` | List Email Templates | Tool to list all email templates available for credential delivery. Use when you need to retrieve available email templates for sending credentials. |
| `CERTIFIER_LIST_GROUPS` | List Groups | Tool to list all groups. Use when you need to retrieve groups with pagination (limit and cursor). |
| `CERTIFIER_SEARCH_CREDENTIALS` | Search Credentials | Tool to search for credentials using advanced filters and criteria. Use when you need to find specific credentials based on status, recipient, dates, or other properties. Supports complex queries with logical operators (AND, OR, NOT). |
| `CERTIFIER_CERTIFIER_SEND_CREDENTIAL` | Send a Credential | Tool to send a published credential via email. Use after confirming the credential is published. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Certifier MCP server is an implementation of the Model Context Protocol that connects your AI agent to Certifier. It provides structured and secure access so your agent can perform Certifier 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 Certifier 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 Certifier 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 Certifier tools as needed
```python
# Create Tool Router session for Certifier
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['certifier']
)

url = session.mcp.url
```

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

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "certifier-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({
    "certifier-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 Certifier 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 Certifier 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=['certifier']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "certifier-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 Certifier 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: ['certifier']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "certifier-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 Certifier 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 Certifier 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 Certifier MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/certifier/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/certifier/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/certifier/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/certifier/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/certifier/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/certifier/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/certifier/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/certifier/framework/cli)
- [Google ADK](https://composio.dev/toolkits/certifier/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/certifier/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/certifier/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/certifier/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/certifier/framework/crew-ai)

## Related Toolkits

- [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning.
- [Accredible certificates](https://composio.dev/toolkits/accredible_certificates) - 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.
- [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots.
- [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance.
- [Classmarker](https://composio.dev/toolkits/classmarker) - ClassMarker is a professional online quiz maker for business and education. It provides instant grading, flexible test design, and in-depth reporting.
- [Coassemble](https://composio.dev/toolkits/coassemble) - Coassemble is a flexible platform for building, managing, and delivering online training courses. It helps teams streamline onboarding, upskilling, and ongoing learning for employees or partners.
- [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students.
- [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps.
- [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected.
- [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication.
- [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results.
- [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently.
- [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Certifier MCP?

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

### Can I manage the permissions and scopes for Certifier while using Tool Router?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)