How to integrate Bing Webmaster Tools MCP with LangChain

This guide walks you through connecting Bing Webmaster Tools to LangChain 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 LangChain 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 LangChain 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 LangChain 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 ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Bing Webmaster Tools project to Composio
  • Create a Tool Router MCP session for Bing Webmaster Tools
  • Initialize an MCP client and retrieve Bing Webmaster Tools tools
  • Build a LangChain agent that can interact with Bing Webmaster Tools
  • 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 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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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 dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Bing Webmaster Tools functionality through MCP
6

Initialize Composio client

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()
    });
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 Bing Webmaster Tools tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = 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 session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Bing Webmaster Tools tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "bing_webmaster_tools-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Bing Webmaster Tools MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Bing Webmaster Tools tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Bing Webmaster Tools 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

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: ['bing_webmaster_tools']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "bing_webmaster_tools-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 Bing Webmaster Tools 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 Bing Webmaster Tools 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.
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

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Claude Cowork

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Codex logo

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

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CLI logo

CLI

Use Bing Webmaster Tools MCP with CLI

Google ADK logo

Google ADK

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Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

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LlamaIndex logo

LlamaIndex

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CrewAI logo

CrewAI

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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. 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 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.

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