# How to integrate Diffbot MCP with CrewAI ```json { "title": "How to integrate Diffbot MCP with CrewAI", "toolkit": "Diffbot", "toolkit_slug": "diffbot", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/diffbot/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/diffbot/framework/crew-ai.md", "updated_at": "2026-05-12T10:08:44.324Z" } ``` ## Introduction This guide walks you through connecting Diffbot to CrewAI using the Composio tool router. By the end, you'll have a working Diffbot agent that can extract specs and reviews from a product page, summarize key details from a news article url, list all bulk data extraction jobs for your account through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Diffbot account through Composio's Diffbot MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Diffbot with - [OpenAI Agents SDK](https://composio.dev/toolkits/diffbot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/diffbot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/diffbot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/diffbot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/diffbot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/diffbot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/diffbot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/diffbot/framework/cli) - [Google ADK](https://composio.dev/toolkits/diffbot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/diffbot/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/diffbot/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/diffbot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/diffbot/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Diffbot connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Diffbot - Build a conversational loop where your agent can execute Diffbot 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 Diffbot MCP server, and what's possible with it? The Diffbot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Diffbot account. It provides structured and secure access to web data extraction and analysis, so your agent can extract structured data from web pages, analyze content types, retrieve product details, manage bulk jobs, and search extracted datasets on your behalf. - Automatic content analysis and extraction: Let your agent analyze any web page and automatically extract structured data such as articles, products, events, images, or videos using AI-powered tools. - Article and discussion thread extraction: Effortlessly pull detailed metadata, authors, publication dates, and full discussion threads from news sites, blogs, forums, and comment sections. - Product and event data gathering: Instantly extract comprehensive product specifications, pricing, reviews, and event information including venues, dates, and descriptions from e-commerce or event pages. - Bulk job management and search: Enable your agent to list, monitor, and search across large-scale crawl or extraction jobs, making it easy to work with massive web data collections. - Account and usage insights: Retrieve your Diffbot account details, plan information, and usage statistics to stay on top of quotas and manage your web data operations efficiently. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DIFFBOT_COMBINE_ENTITY_PROFILES` | Combine Entity Profiles | Combine multiple entity profiles into a unified view using the Diffbot Knowledge Graph. Returns enhanced person or organization data by matching on identifying attributes like name, email, employer, or URL. Use this to enrich partial entity data, merge duplicate profiles, or verify entity identity. | | `DIFFBOT_CREATE_BULK` | Create Bulk Extract Job | Tool to submit a bulk extract job to process multiple URLs with Extract APIs. Use when you need to process many URLs asynchronously using any Extract API. The job will process URLs in the background and provide downloadable results. | | `DIFFBOT_CREATE_CUSTOM_API` | Create or Update Custom API | Tool to create or update the parameters and ruleset of a Custom API. Use this when you need to define custom extraction rules for specific websites that require tailored parsing logic beyond standard Diffbot APIs. Allows defining URL patterns, CSS selectors, extraction rules, and preprocessing filters to extract structured data from websites with unique layouts. | | `DIFFBOT_CREATE_KG_BULK_ENHANCE` | Create Bulk Enhance Job | Tool to submit a bulk enhance job to enrich multiple entities asynchronously. Use when you need to process many Person or Organization records in batch. The API accepts entity descriptions and returns enriched data from the Diffbot Knowledge Graph. | | `DIFFBOT_DELETE_CUSTOM_API` | Delete Custom API | Tool to delete custom API definitions for a given URL pattern. Removes custom extraction rules from your account. Use when you need to remove previously configured custom APIs. | | `DIFFBOT_DELETE_KG_ENHANCE_BULKJOB` | Delete KG Enhance Bulkjob | Tool to delete an Enhance Bulkjob. Removes the bulk job and its results from the system. Use when cleaning up completed or failed jobs. | | `DIFFBOT_DOWNLOAD_BULK_RESULTS` | Download Bulk Job Results | Tool to download results of a bulk enhance job with filtering options via POST request. Use this to retrieve processed results from a completed or running bulk job. Supports multiple export formats (json, jsonl, csv, xls, xlsx) and various filtering options to customize the output. HTTP 200 indicates results are ready, HTTP 201 means the job is still executing. | | `DIFFBOT_ENHANCE_ENTITY` | Enhance Entity with Knowledge Graph | Enrich a person or organization with comprehensive data from the Diffbot Knowledge Graph. Provide identifiers like name, email, employer, or URL and receive detailed entity information including employment history, education, location, skills, and more. Use when you need to gather all publicly available knowledge about a specific person or organization from billions of web pages. | | `DIFFBOT_EXTRACT_JOB` | Diffbot Extract Job | Tool to extract structured job posting data from job listing pages. Returns job title, company, location, salary, requirements, skills, and other job-related information. Use when you need to parse and structure data from job postings. | | `DIFFBOT_EXTRACT_LIST` | Diffbot Extract List | Tool to extract structured data from list-style pages like news indexes, product listings, and directory pages. Returns an array of items with their titles, links, and descriptions. Use when you need to extract multiple items from a page organized as a list or index. | | `DIFFBOT_GET_ACCOUNT` | Get Diffbot Account Details | Retrieves comprehensive Diffbot account information including subscription plan details, credit balance, usage history, and account status. Returns account holder name, email, current plan, available credits, and daily usage statistics for the past 31 days. Use this to check your account's credit balance, monitor API usage patterns, verify account status, or retrieve account metadata. | | `DIFFBOT_GET_ANALYZE` | Diffbot Analyze | Automatically analyzes a web page to determine its type and extract structured data. The Analyze API intelligently classifies pages into types (article, product, discussion, image, video, organization, etc.) and extracts relevant structured data. Use this when you need to process URLs of unknown type or want automatic extraction without specifying the page type in advance. | | `DIFFBOT_GET_ARTICLE` | Get Article Data | Tool to extract information from articles, including authors, publication dates, and images. Use when you need structured metadata from a web article URL. | | `DIFFBOT_GET_BULK_DATA` | Get Bulk Job Data | Tool to download extracted results from a completed bulk job. Use after a bulk job has finished processing to retrieve the data. Supports JSON and CSV formats. | | `DIFFBOT_GET_BULK_JOB_STATUS` | Get Bulk Job Status | Tool to poll the status of a specific Diffbot Knowledge Graph Enhance bulk job. Use when you need to check the progress, completion status, or details of a bulk enhancement job. | | `DIFFBOT_GET_BULK_RESULTS` | Get Bulk Job Results | Tool to download the results of a completed Enhance Bulkjob. Returns enriched records from the bulk job. Use after a bulk enhance job has completed processing. | | `DIFFBOT_GET_BULK_SINGLE_RESULT` | Get Bulk Single Result | Tool to download the result of a single job within a Diffbot bulk enhance job. Returns enriched entity data for a specific input record by its index. Use after a bulk enhance job has completed to retrieve individual results without downloading the entire dataset. | | `DIFFBOT_GET_CRAWL_DATA` | Get Crawl Data | Download extracted results from a completed crawl job. Returns all structured data extracted during crawl processing (articles, products, etc.). Use after a crawl job has completed to retrieve the collected data. | | `DIFFBOT_GET_DISCUSSION` | Get Discussion Thread | Extract structured discussion threads from web pages including forums, comment sections, product reviews, Reddit discussions, and blog comments. Returns posts with author info, timestamps, content, and hierarchical relationships. Useful for analyzing conversations, gathering feedback, or monitoring discussions. Supported platforms: Native comment systems, Disqus, Facebook Comments, Reddit, forum software, and more. Use this when you need to: - Extract all comments/posts from a discussion thread - Analyze user feedback or reviews - Monitor forum discussions or social media threads - Gather structured conversation data with metadata | | `DIFFBOT_GET_EVENT` | Diffbot Get Event | Tool to extract event details from web pages. Use when you need structured event data such as venue, date, and description. | | `DIFFBOT_GET_IMAGE` | Diffbot Get Image | Tool to extract detailed information about images, including dimensions and recognition data. Use after confirming the image URL is publicly accessible. | | `DIFFBOT_GET_KG_COVERAGE_REPORT_BY_ID` | Get KG Coverage Report by ID | Download Knowledge Graph coverage report by report ID. Returns detailed CSV coverage statistics showing field presence across query results. Use this after generating a coverage report from a DQL query to retrieve the statistical breakdown of field coverage. | | `DIFFBOT_GET_PRODUCT` | Diffbot Get Product | Tool to extract product information such as specifications, prices, availability, and reviews. Use when you need structured product data including specs, pricing, and reviews. | | `DIFFBOT_GET_VIDEO` | Get Video Data | Tool to extract information from videos, including titles, descriptions, and embedded HTML. Use when you need structured video metadata from any web page. | | `DIFFBOT_LIST_BULK_JOBS` | List Bulk Jobs | Tool to list all Bulk jobs associated with a specific token. Use after authenticating to retrieve statuses of all jobs for the account. | | `DIFFBOT_LIST_BULK_JOBS_STATUS_FOR_TOKEN` | List Bulk Jobs Status For Token | Tool to get the status of all bulk enhance jobs for a token. Returns list of all bulk jobs associated with your API token. Use when you need to monitor or retrieve the status of multiple bulk jobs at once. | | `DIFFBOT_LIST_CUSTOM_APIS` | List Custom APIs | Tool to retrieve all Custom APIs and their extraction rules currently defined on your Diffbot token. Use when you need to list, review, or audit custom API configurations for your account. | | `DIFFBOT_MANAGE_CRAWL` | Manage Crawl Job | Manages Diffbot crawl jobs: pause, restart, delete, or view status. Returns list of all active crawl jobs when called without parameters. Use 'name' parameter with action flags (pause=1, restart=1, delete=1) to control specific jobs. | | `DIFFBOT_RESOLVE_LOST_ID` | Resolve Lost ID | Tool to resolve lost IDs in the Knowledge Graph. Use when you need to map a lost identifier to its canonical counterpart for data consistency. | | `DIFFBOT_SEARCH` | Diffbot Knowledge Graph Search | Search the Diffbot Knowledge Graph using DQL (Diffbot Query Language). Query billions of entities including organizations, people, articles, products, and more. Use structured queries to filter by type, fields, and relationships. | | `DIFFBOT_SEARCH_CRAWL_DATA` | Search Crawl Job Data | Tool to query crawl job collections using DQL (Diffbot Query Language). Use when you need to search extracted data from completed crawl or bulk jobs by collection name. | | `DIFFBOT_START_BULK` | Start Bulk Job | Tool to start a Bulk Extract job. Use when processing large numbers of URLs asynchronously. The Diffbot Bulk API uses GET requests with query parameters to create jobs. | | `DIFFBOT_START_CRAWL` | Start Crawl Job | Initiates a Diffbot crawl job that spiders a website starting from seed URLs and processes discovered pages with a specified Extract API. The crawler follows links within the domain, collects structured data (articles, products, etc.), and stores results for download. Use this to systematically extract data from entire websites or sections. Requires Diffbot Plus plan or higher. | | `DIFFBOT_STOP_BULK_JOB` | Stop Bulk Job | Tool to pause (stop) a running Bulk job. Pausing halts further processing of URLs while preserving existing progress. To resume, use the appropriate resume action. Specify the exact job name (case-sensitive) as provided when the job was created. | | `DIFFBOT_STOP_KG_BULK_JOB_BY_ID` | Stop KG Bulk Job By ID | Tool to stop an active Knowledge Graph Enhance bulk job by its ID. Halts processing of a running KG bulk job immediately. Use when you need to stop a specific KG bulk job using its bulkjobId. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Diffbot MCP server is an implementation of the Model Context Protocol that connects your AI agent to Diffbot. It provides structured and secure access so your agent can perform Diffbot 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 starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Diffbot connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Diffbot via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **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 Diffbot MCP URL ```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") ``` ### 5. Create a Composio Tool Router session for Diffbot **What's happening:** - You create a Diffbot only session through Composio - Composio returns an MCP HTTP URL that exposes Diffbot tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["diffbot"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **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. ```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, ) ``` ### 7. Create a CLI Chatloop and define the Crew **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. ```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") ``` ## Complete Code ```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=["diffbot"], ) 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 Diffbot through Composio's Tool Router. The agent can perform Diffbot 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 ## How to build Diffbot MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/diffbot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/diffbot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/diffbot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/diffbot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/diffbot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/diffbot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/diffbot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/diffbot/framework/cli) - [Google ADK](https://composio.dev/toolkits/diffbot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/diffbot/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/diffbot/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/diffbot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/diffbot/framework/llama-index) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management. - [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters. - [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations. - [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions. - [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows. - [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations. - [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. 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. Developers use it to access fresh, low-latency SERP data on demand. - [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance. - [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows. - [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses. - [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Diffbot MCP? With a standalone Diffbot MCP server, the agents and LLMs can only access a fixed set of Diffbot tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Diffbot and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? 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 Diffbot tools. ### Can I manage the permissions and scopes for Diffbot while using Tool Router? Yes, absolutely. You can configure which Diffbot 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 Diffbot data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)