# How to integrate Postgrid verify MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Postgrid verify MCP with Vercel AI SDK v6", "toolkit": "Postgrid verify", "toolkit_slug": "postgrid_verify", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/postgrid_verify/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/postgrid_verify/framework/ai-sdk.md", "updated_at": "2026-05-12T10:22:29.797Z" } ``` ## Introduction This guide walks you through connecting Postgrid verify to Vercel AI SDK v6 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 Vercel AI SDK 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) - [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: - How to set up and configure a Vercel AI SDK agent with Postgrid verify integration - Using Composio's Tool Router to dynamically load and access Postgrid verify tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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 required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client 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 mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Postgrid verify-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["postgrid_verify"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Postgrid verify tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to postgrid_verify, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Postgrid verify tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript 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; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["postgrid_verify"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to postgrid_verify, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); 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; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Postgrid verify agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom 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) - [LangChain](https://composio.dev/toolkits/postgrid_verify/framework/langchain) - [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) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements. - [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints. - [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots. - [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches. - [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. 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It helps streamline how you gather, organize, and analyze responses. ## 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 Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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)