# How to integrate Postgrid verify MCP with LangChain

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

## Introduction

This guide walks you through connecting Postgrid verify to LangChain 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 LangChain 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)
- [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)
- [CrewAI](https://composio.dev/toolkits/postgrid_verify/framework/crew-ai)

## TL;DR

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

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 Postgrid verify 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 Postgrid verify 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 Postgrid verify tools as needed
```python
# Create Tool Router session for Postgrid verify
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['postgrid_verify']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "postgrid_verify-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({
    "postgrid_verify-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 Postgrid verify 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 Postgrid verify 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=['postgrid_verify']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "postgrid_verify-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 Postgrid verify 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: ['postgrid_verify']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "postgrid_verify-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 Postgrid verify 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 Postgrid verify 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 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)
- [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)
- [CrewAI](https://composio.dev/toolkits/postgrid_verify/framework/crew-ai)

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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 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 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.

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