How to integrate Bing Webmaster Tools MCP with CrewAI

This guide walks you through connecting Bing Webmaster Tools to CrewAI 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 CrewAI 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 CrewAI 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 CrewAI 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 ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Bing Webmaster Tools connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Bing Webmaster Tools
  • Build a conversational loop where your agent can execute Bing Webmaster Tools 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 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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Bing Webmaster Tools connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Bing Webmaster Tools via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

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")
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 Bing Webmaster Tools MCP URL
6

Create a Composio Tool Router session for Bing Webmaster Tools

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["bing_webmaster_tools"])

url = session.mcp.url
What's happening:
  • You create a Bing Webmaster Tools only session through Composio
  • Composio returns an MCP HTTP URL that exposes Bing Webmaster Tools tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

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

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=["bing_webmaster_tools"],
)
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 Bing Webmaster Tools through Composio's Tool Router. The agent can perform Bing Webmaster Tools 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
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

Vercel AI SDK logo

Vercel AI SDK

Use Bing Webmaster Tools MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Bing Webmaster Tools MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Bing Webmaster Tools MCP with LlamaIndex

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. 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 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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