# How to integrate Stannp MCP with CrewAI

```json
{
  "title": "How to integrate Stannp MCP with CrewAI",
  "toolkit": "Stannp",
  "toolkit_slug": "stannp",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/stannp/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/stannp/framework/crew-ai.md",
  "updated_at": "2026-05-06T08:29:47.592Z"
}
```

## Introduction

This guide walks you through connecting Stannp to CrewAI using the Composio tool router. By the end, you'll have a working Stannp agent that can add new customer to holiday postcard group, import client mailing list from spreadsheet, list all available postcard templates through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Stannp account through Composio's Stannp MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Stannp with

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

## TL;DR

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

The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Stannp account. It provides structured and secure access to your direct mail contacts, groups, and templates, so your agent can perform actions like managing recipient lists, importing contacts, and retrieving mailing templates on your behalf.
- Organize and manage recipient groups: Easily create new recipient groups and add contacts, helping you segment your mailing lists for targeted direct mail campaigns.
- Import bulk recipients efficiently: Let your agent upload and import contacts from CSV or XLS files directly into Stannp, streamlining the process of building large mailing lists.
- Retrieve and view contact details: Instantly fetch information on specific contacts or list all your contacts, making it simple to keep track of who’s in your database.
- Access and manage templates: Quickly list and review all available Stannp templates, so your agent can select the right one when setting up new campaigns or mailings.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `STANNP_ADD_RECIPIENT_TO_GROUP` | Add Recipient to Group | Tool to add a recipient to a recipient group. use when you need to add new mailing list subscribers. |
| `STANNP_CREATE_GROUP` | Create recipient group | Tool to create a new recipient group in stannp. use when you need to organize contacts into a distinct group before sending campaigns. |
| `STANNP_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact. use when you need all stored fields of a contact by its id. |
| `STANNP_IMPORT_RECIPIENTS` | Import Recipients | Tool to import recipients from a csv or xls file into a stannp recipient group. use when you have a mailing list file ready to upload. |
| `STANNP_LIST_CONTACTS` | List Contacts | Tool to list all contacts. use when you need to retrieve contacts with optional pagination filters. |
| `STANNP_LIST_TEMPLATES` | List Templates | Tool to list all templates associated with the account. use when you need to retrieve available templates after authentication. |

## Supported Triggers

None listed.

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

The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agent to Stannp. It provides structured and secure access so your agent can perform Stannp 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 Stannp 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 Stannp 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 Stannp 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 Stannp

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

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=["stannp"],
)
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 Stannp through Composio's Tool Router. The agent can perform Stannp 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 Stannp MCP Agent with another framework

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

## Related Toolkits

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- [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign.
- [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.
- [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend.
- [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort.
- [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors.
- [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting.
- [Semrush](https://composio.dev/toolkits/semrush) - Semrush is a leading SEO tool suite for keyword research, competitor analysis, and campaign tracking. It empowers marketers to improve search rankings and optimize online visibility.
- [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place.
- [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish.
- [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs.
- [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws.
- [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.

## Frequently Asked Questions

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

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

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

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

---
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