# How to integrate Certifier MCP with CrewAI

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

## Introduction

This guide walks you through connecting Certifier to CrewAI 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 CrewAI 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)
- [LangChain](https://composio.dev/toolkits/certifier/framework/langchain)
- [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)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Certifier connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Certifier
- Build a conversational loop where your agent can execute Certifier operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Certifier connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

**What's happening:**
- composio connects your agent to Certifier via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Certifier MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Certifier

**What's happening:**
- You create a Certifier only session through Composio
- Composio returns an MCP HTTP URL that exposes Certifier tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["certifier"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["certifier"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Certifier through Composio's Tool Router. The agent can perform Certifier operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## 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)
- [LangChain](https://composio.dev/toolkits/certifier/framework/langchain)
- [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)

## 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 CrewAI?

Yes, you can. CrewAI 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.

---
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