How to integrate Bing Webmaster Tools MCP with Vercel AI SDK v6

This guide walks you through connecting Bing Webmaster Tools to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Bing Webmaster Tools agent that can inspect your urls, diagnose crawl issues, research keywords, track search performance, and submit feeds through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Bing Webmaster Tools account through Composio's Bing Webmaster Tools MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Bing Webmaster Tools is Microsoft's search console for site performance, crawling, indexing, URL submission, and verified site management. It helps site owners understand Bing Search visibility and fix issues that affect organic traffic.

13 Tools

Introduction

This guide walks you through connecting Bing Webmaster Tools to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Bing Webmaster Tools agent that can inspect your urls, diagnose crawl issues, research keywords, track search performance, and submit feeds through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Bing Webmaster Tools account through Composio's Bing Webmaster Tools MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Bing Webmaster Tools with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Bing Webmaster Tools integration
  • Using Composio's Tool Router to dynamically load and access Bing Webmaster Tools 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 Bing Webmaster Tools MCP server, and what's possible with it?

The Bing Webmaster Tools MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bing Webmaster Tools account. It provides structured and secure access to your verified sites, search performance, crawl data, indexing details, links, feeds, and keyword research, so your agent can analyze search traffic, diagnose crawl issues, inspect pages, research keywords, and submit content to Bing on your behalf.

  • Search performance analysis: Have your agent review daily search totals, top queries, top pages, and performance trends for specific queries or URLs.
  • Crawl and index diagnostics: Let the agent find crawl issues, review daily crawl statistics, inspect URL index status, and examine indexed pages within site directories.
  • Keyword and link research: Direct your agent to research keyword impressions, historical trends, related ideas, and inbound links for your verified sites.
  • Sitemap and URL submission: Instruct your agent to review submitted feeds, submit sitemaps, send owned URLs to Bing for crawling, and check remaining submission quotas.
  • Verified site management: Have your agent list connected sites, check their verification state, and retrieve available verification codes.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

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
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

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
5

Import required modules and validate environment

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,
});
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
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["bing_webmaster_tools"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Bing Webmaster Tools 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 Bing Webmaster Tools-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

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();
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 Bing Webmaster Tools tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to bing_webmaster_tools, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
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
9

Handle user input and stream responses with real-time tool feedback

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);
});
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 Bing Webmaster Tools 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

Complete Code

Here's the complete code to get you started with Bing Webmaster Tools and Vercel AI SDK:

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: ["bing_webmaster_tools"],
  });

  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 bing_webmaster_tools, 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 Bing Webmaster Tools 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.
TOOLS

Supported Tools

Every Bing Webmaster Tools action and event your agent gets out of the box.

Get Crawl Diagnostics

Read crawl issues or daily crawl statistics for a verified site.

Get Feeds

List a site's submitted sitemaps and feeds, or inspect one feed's child details.

Get Inbound Links

Read inbound-link counts across a site or link details for one target URL, one provider page at a time.

Get Page Performance

Read traffic for one owned URL, its search queries, or a paged set of child URLs.

Get Query Performance

Analyze one Bing search query over time, across ranking pages, or for one query-page pair.

Get Search Performance

Read site-level Bing search performance as daily totals, top queries, or top pages.

Get Submission Quotas

Get remaining daily and monthly URL and/or content submission quotas for a verified site.

Inspect URL

Get Bing index and crawl metadata for one page or directory in a verified site.

List Child URLs

Return one Bing index-detail page for URLs below a directory or container, with optional crawl and index filters.

List Sites

List the sites associated with the connected Bing Webmaster Tools user, including verification state and verification codes.

Research Keywords

Get Bing keyword impressions, historical statistics, or related keyword ideas for a country and language.

Submit Feed

Submit a sitemap or feed URL for non-recallable Bing processing; do not retry when the submission result is ambiguous.

Submit URLs

Submit one to 500 owned URLs to Bing, consuming URL-submission quota and starting a non-recallable crawl and indexing request that does not guarantee indexing.

FRAMEWORKS

How to build Bing Webmaster Tools MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Bing Webmaster Tools MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Bing Webmaster Tools MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Bing Webmaster Tools MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Bing Webmaster Tools MCP with Claude Cowork

Codex logo

Codex

Use Bing Webmaster Tools MCP with Codex

OpenClaw logo

OpenClaw

Use Bing Webmaster Tools MCP with OpenClaw

Hermes logo

Hermes

Use Bing Webmaster Tools MCP with Hermes

CLI logo

CLI

Use Bing Webmaster Tools MCP with CLI

Google ADK logo

Google ADK

Use Bing Webmaster Tools MCP with Google ADK

LangChain logo

LangChain

Use Bing Webmaster Tools MCP with LangChain

Mastra AI logo

Mastra AI

Use Bing Webmaster Tools MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Bing Webmaster Tools MCP with LlamaIndex

CrewAI logo

CrewAI

Use Bing Webmaster Tools MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Bing Webmaster Tools MCP server, the agents and LLMs can only access a fixed set of Bing Webmaster Tools tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Bing Webmaster Tools and many other apps based on the task at hand, all through a single MCP endpoint.

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 Bing Webmaster Tools tools.

Yes, absolutely. You can configure which Bing Webmaster Tools 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.

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 Bing Webmaster Tools data and credentials are handled as safely as possible.

Start with Bing Webmaster Tools.It takes 30 seconds.

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