# How to integrate Postgrid verify MCP with CrewAI

```json
{
  "title": "How to integrate Postgrid verify MCP with CrewAI",
  "toolkit": "Postgrid verify",
  "toolkit_slug": "postgrid_verify",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/postgrid_verify/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/postgrid_verify/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:22:29.797Z"
}
```

## Introduction

This guide walks you through connecting Postgrid verify to CrewAI using the Composio tool router. By the end, you'll have a working Postgrid verify agent that can verify a single us mailing address, standardize a batch of customer addresses, autocomplete address based on partial input through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Postgrid verify account through Composio's Postgrid verify MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Postgrid verify with

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

## TL;DR

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

The Postgrid verify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Postgrid verify account. It provides structured and secure access to address verification and standardization services, so your agent can autocomplete addresses, validate locations, perform batch verifications, and standardize address formats automatically on your behalf.
- Real-time address autocomplete: Instantly suggest and complete address fields as users type, reducing errors and speeding up data entry.
- Single address verification: Allow your agent to check and validate individual addresses for accuracy and deliverability in real time.
- Batch address verification: Process and validate multiple addresses at once, making bulk operations seamless and efficient.
- Address standardization: Automatically format and normalize addresses according to postal standards, ensuring consistency across your systems.
- Error detection and correction: Enable your agent to identify and fix common address entry mistakes, improving overall data quality.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POSTGRID_VERIFY_AUTOCOMPLETE_ADDRESS` | Autocomplete Address | Tool to autocomplete a partially specified US or Canada address. Retrieves complete verified address including full postal code. Uses 1 lookup per request. |
| `POSTGRID_VERIFY_AUTOCOMPLETE_INTL_ADDRESS` | Autocomplete International Address | Tool to retrieve complete verified international address data using an ID from the preview endpoint. Use when you have an address ID from the preview step and need the full address details. |
| `POSTGRID_VERIFY_GET_AUTOCOMPLETE_PREVIEWS` | Get Autocomplete Previews | Tool to get previews of autocompleted US and Canadian addresses. Returns partial address data (line1, city, first 3 digits of postal code) without using any lookups. Use when you need quick autocomplete suggestions for address input. |
| `POSTGRID_VERIFY_GET_INTL_AUTOCOMPLETE_PREVIEWS` | Get International Autocomplete Previews | Tool to get previews of autocompleted international addresses. Results are biased based on your current IP address unless disabled. Returns both 'Address' and 'BuildingNumber' types - if type is 'Address', its id can be used in POST /completions; if 'BuildingNumber', use the container id with advanced previews. |
| `POSTGRID_VERIFY_GET_LOOKUP_INFO` | Get Lookup Info | Tool to retrieve lookup usage information for your PostGrid account. Use when you need to check how many lookups you have used and your free lookup limit. |
| `POSTGRID_VERIFY_LOOKUP_CITY_STATE_FROM_POSTAL` | Lookup City and State from Postal Code | Tool to lookup city and state for a given postal or ZIP code. Use when you need valid city/state combinations for a postal code. |
| `POSTGRID_VERIFY_PARSE_ADDRESS` | Parse Address | Tool to break an address apart into its components. Use when you need to extract individual address parts like street number, road, city, state, and postal code from a single-line address string. |
| `POSTGRID_VERIFY_SUGGEST_ADDRESSES` | Suggest Addresses | Tool to find addresses similar to the given address. If the address can be verified or corrected, the first element will contain the verified address. Returns unit number ranges in line1 of suggested addresses. Use when you need address suggestions or corrections for US or Canadian addresses. |
| `POSTGRID_VERIFY_VERIFY_ADDRESS` | Verify Address | Tool to verify and standardize a US or Canadian address. Supports both freeform addresses (single-line) and structured addresses (with separate line1, city, etc.). Use includeDetails=true for additional metadata or geocode=true for latitude/longitude. |
| `POSTGRID_VERIFY_VERIFY_BATCH_ADDRESSES` | Batch Verify Addresses with Mixed Format | Tool to verify up to 2000 US and Canada addresses in a single API call. Accepts both freeform address strings and structured address objects. Each address uses 1 lookup credit. |
| `POSTGRID_VERIFY_VERIFY_INTERNATIONAL_ADDRESS` | Verify International Address | Tool to verify and standardize international addresses from 245+ countries. Supports both structured and freeform address inputs. Use includeDetails=true for match levels and geoData=true for coordinates. |
| `POSTGRID_VERIFY_VERIFY_INTL_ADDRESSES_BATCH` | Batch Verify International Addresses | Tool to verify up to 2000 international addresses in a single API call. Accepts both freeform address strings and structured address objects. Uses 1 lookup per address. |

## Supported Triggers

None listed.

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

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

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

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

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

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- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Postgrid verify MCP?

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

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

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

---
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