# Explorium MCP ```json { "name": "Explorium MCP", "slug": "explorium_mcp", "url": "https://composio.dev/toolkits/explorium_mcp", "markdown_url": "https://composio.dev/toolkits/explorium_mcp.md", "logo_url": "https://logos.composio.dev/api/explorium_mcp", "categories": [ "data & analytics" ], "is_composio_managed": false, "updated_at": "2026-09-02T05:35:37.215Z" } ``` ![Explorium MCP logo](https://logos.composio.dev/api/explorium_mcp) ## Description Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Explorium MCP or direct API to lookup company profiles, enrich contact records, fetch technographic stacks, and stream recent business events through natural language. ## Summary Explorium AgentSource MCP provides structured company, professional, contact, firmographic, technographic, and business-event data. Use it to enrich leads, power data-driven workflows, and improve agent decisions. ## Categories - data & analytics ## Toolkit Details - Tools: 12 ## Images - Logo: https://logos.composio.dev/api/explorium_mcp ## Authentication - **Api Key** - Type: `api_key` - Description: Api Key authentication for Explorium MCP. - Setup: - Configure Api Key credentials for Explorium MCP. - Use the credentials when creating an auth config in Composio. ## Suggested Prompts - Find firmographics for Acme Corporation - Get technographic stack for example.com - List recent business events for Acme ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `EXPLORIUM_MCP_AUTOCOMPLETE` | Autocomplete | Provides standardized parameter values that MUST be used in fetch-entities filter operations and bombora-intent enrichment. This tool should be called FIRST before searches or enrichments that require these specific field values. **Query rules (critical):** - Pass exactly one concept per call: a single word or short phrase (≤100 characters). - Never pack comma-separated or space-joined lists (e.g. "defense, aviation, medical devices") into one query — that fails. - For multiple concepts, call autocomplete once per concept and merge the returned values. **Supported Fields (call this tool to get valid values):** - `naics_category`: NAICS industry codes - `linkedin_category`: LinkedIn industry categories - `company_tech_stack_tech`: Specific technologies - `job_title`: Job titles - `interests`: Professional interests for prospect filters - `skills`: Professional skills for prospect filters - `business_intent_topics`: Bombora intent taxonomy strings for fetch filters and enrich-business bombora-intent parameters.topics (prefer ≥12 topics) **Fields NOT Requiring Autocomplete:** These fields have fixed enum values or use standard codes directly: - `country_code`: Use ISO Alpha-2 codes (e.g., "US", "IL") - `company_country_code`: Use ISO Alpha-2 codes (e.g., "US", "IL") - `region_country_code`: Use ISO 3166-2 codes (e.g., "US-NY", "IL-TA") - `company_region_country_code`: Use ISO 3166-2 codes (e.g., "US-NY", "IL-TA") - `website_keywords`: Use free-text keywords directly - Enum fields: See available values in fetch-entities description **Technical Requirement:** Search operations using autocomplete-required filters will fail without valid values from this tool first. **Search Tips:** - For SaaS companies: Use the keyword 'software' **Returns:** List of valid, standardized values that must be used in search filter parameters | | `EXPLORIUM_MCP_ENRICH_BUSINESS` | Enrich-business | Enriches business data enrichment calls. Requires business IDs as input. **Input Requirements:** - business_ids: Array of Explorium business IDs (from match-business or fetch-businesses) - enrichments: enrichment types to retrieve - parameters: Optional settings for specific enrichments **IMPORTANT: For comprehensive company information requests, include ALL relevant enrichments in a single call** (e.g., for "tell me about this company" use multiple enrichments: firmographics, technographics, funding-and-acquisitions, workforce-trends, linkedin-posts to provide complete intelligence) **Available Enrichments:** - **firmographics**: Basic company info (name, description, website, location, industry, size, revenue) - **technographics**: Complete technology stack used by the business - **company-ratings**: Employee satisfaction and company culture ratings - **financial-metrics**: Financial data for public companies only (requires date parameter in ISO format: "2024-01-01T00:00") - **funding-and-acquisitions**: Funding history, investors, IPO, acquisitions - **challenges**: Business challenges and risks from SEC filings - **competitive-landscape**: Market position and competitors from SEC filings - **strategic-insights**: Strategic focus and value propositions from SEC filings - **workforce-trends**: Department composition and hiring trends - **linkedin-posts**: Company LinkedIn posts and engagement metrics - **website-changes**: Website content changes over time - **website-keywords**: Search for specific keywords on company websites (requires keywords parameter: array of terms - comma-separated terms within strings enable AND logic) - **webstack**: Website-specific technologies and web infrastructure components detected on company websites - **company-hierarchies**: Corporate hierarchy including parent company, ultimate parent, subsidiaries, and full organization tree (JSON format) - **bombora-intent**: Company-level buying intent from Bombora weekly data (surging research topics). Always call autocomplete first with field=business_intent_topics to resolve topics. Prefer ≥12 topics for meaningful level_of_intent. Returns intent_topics (score ≥ threshold), level_of_intent, topic_count, date_stamp. Interpret level_of_intent: In-Depth Research (>25% topics surging), Active Research (5–25%), Early Research ( 60 for bombora-intent (default 60 when omitted) **Alternative Tools:** - For finding specific employees or company leadership information, use fetch-prospects with job_level filters (e.g., "c-suite" for c-level) instead of firmographics or strategic-insights enrichments **Returns:** Combined structured data from all requested enrichments **Example:** ``` { "business_ids": ["8adce3ca1cef0c986b22310e369a0793", "340c8040bd50cbab9c7df718bbe51cc9"], "enrichments": ["firmographics", "technographics", "funding-and-acquisitions"], "parameters": null } ``` | | `EXPLORIUM_MCP_ENRICH_PROSPECTS` | Enrich-prospects | Enriches prospect data using up to 3 parallel enrichment calls. Requires prospect IDs as input. **Input Requirements:** - prospect_ids: Array of Explorium prospect IDs (from match-prospects or fetch-prospects) - enrichments: 1-3 enrichment types to retrieve - parameters: Optional settings for specific enrichments **IMPORTANT: For comprehensive prospect information requests, include ALL relevant enrichments in a single call** (e.g., for "tell me about this person" use multiple enrichments: profiles, contacts, linkedin-posts to provide complete intelligence) **Available Enrichments:** - **contacts**: Professional and personal email addresses, phone numbers; optional `parameters.contact_types` as `["email"]`, `["phone"]`, or `["email","phone"]` (omit to request both) - **linkedin-posts**: Post content, engagement metrics, creation dates - **profiles**: Full name, demographics, location, role details, work experience, education **Returns:** Combined structured data from all requested enrichments **Example:** ``` { "prospect_ids": ["edf268ac410ff3ba9ca9cc67b065664f38201984", "5b486640efabe6f8bb8cf446e80169ba4a1c5ad8"], "enrichments": ["contacts", "profiles"], "parameters": { "contact_types": ["email"] } } ``` | | `EXPLORIUM_MCP_FETCH_BUSINESSES` | Fetch-businesses | Searches for businesses using filter criteria. Supports combining multiple filters in a single request for optimal performance. **Filter Types:** **Enum-Based Filters** (use values directly from the lists below): - `company_revenue`: List[CompanyRevenue] - Revenue range in USD - Available values: "0-500K", "500K-1M", "1M-5M", "5M-10M", "10M-25M", "25M-75M", "75M-200M", "200M-500M", "500M-1B", "1B-10B", "10B-100B", "100B-1T", "1T-10T", "10T+" - `company_age`: List[CompanyAge] - Company age in years - Available values: "0-3", "3-6", "6-10", "10-20", "20+" - `company_size`: List[NumberOfEmployeesRange] - Employee count range - Available values: "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" - `number_of_locations`: List[NumberOfLocations] - Number of offices - Available values: "0-1", "2-5", "6-20", "21-50", "51-100", "101-1000", "1001+" - `company_tech_stack_category`: List[WebTechCategory] - Broader technology categories - Available values: "Healthcare And Life Science","Technology","Marketing","E-commerce","Devops And Development","Programming Languages And Frameworks", "Testing And Qa", "Platform And Storage","Health Tech","Business Intelligence And Analytics","Operations Management","Customer Management", "Hr","Industrial Engineering And Manufacturing","Product And Design","Sales","It Security","It Management","Other","Operations Software", "Finance And Accounting","Computer Networks","Collaboration","Communications","Business","Productivity And Operations" **Autocomplete-Required Filters** (standardized values MUST be obtained from autocomplete tool FIRST): - `linkedin_category`: LinkedIn industry categories - REQUIRES autocomplete - `company_tech_stack_tech`: Specific technologies - REQUIRES autocomplete - `naics_category`: NAICS industry codes - REQUIRES autocomplete - `business_intent_topics`: Object {topics: string[], negate?: boolean} - Intent topic strings (e.g., "Security:Cloud Security", "HR:Employee Benefits"). Max 20 topics. Set negate=true to exclude matching companies. - `city_region`: City regions (USA only) - REQUIRES autocomplete **Event-Based Filters** (use enum values directly, no autocomplete needed): - `events`: Object with "values" (array of event types from fixed enum) and "last_occurrence" (days: 30-90) - This filter identifies businesses that have experienced specific events within a time window - After fetching businesses with event filters, use fetch-businesses-events to get detailed event information **BUYING INTENT (CRITICAL FOR SALES PROSPECTING)** - When user wants to find potential customers/prospects for what they're selling - Use business_intent_topics filter (requires autocomplete) - ExampleKeywords: "selling to", "need", "looking for", "interested in buying", "prospects for" **Boolean Filters** (true/false/null): - `has_website`: boolean or null - Set to true for businesses with websites, false for businesses without websites, or null to include all - `is_public_company`: boolean or null - Set to true for publicly traded companies, false for private companies, or null to include all **Direct-Use Filters** (use standard codes directly, no autocomplete needed): - `country_code`: ISO Alpha-2 country codes (e.g., "US", "IL") - `region_country_code`: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") **Technical Constraints:** - `linkedin_category` and `naics_category` are mutually exclusive - `region_country_code` and `country_code` are mutually exclusive - **CRITICAL:** Search requests using linkedin_category, company_tech_stack_tech, or naics_category filters will fail without standardized values from autocomplete tool obtained first **Returns:** Business records including business IDs (usable with enrich-business or fetch-businesses-events) **Performance Note:** All applicable filters can be combined in a single request | | `EXPLORIUM_MCP_FETCH_BUSINESSES_EVENTS` | Fetch-businesses-events | Retrieves detailed business-related events from the Explorium API in bulk. **Use Cases:** - Get detailed event information after filtering businesses using the events filter in fetch-businesses - Research a company's complete event history with specific event types and timestamps - Analyze timing and details of funding rounds, partnerships, office changes, etc. **Workflow:** 1. Use fetch-businesses with events filter to find businesses that experienced specific events 2. Use this tool (fetch-businesses-events) to get detailed event information for those businesses **Note:** For events related to role changes or people movements, use the prospects events tool instead. | | `EXPLORIUM_MCP_FETCH_BUSINESSES_STATISTICS` | Fetch-businesses-statistics | Fetch aggregated insights into businesses by industry, revenue, employee count, and geographic distribution. | | `EXPLORIUM_MCP_FETCH_PROSPECTS` | Fetch-prospects | Searches for prospects (employees) using detailed filter criteria. Supports combining multiple filters in a single request for optimal performance. **Use Cases:** Finding people in specific roles at companies: - "Who is the CTO at Google?" - "Find engineers at Microsoft" - "Show me sales directors at Apple" **Data Characteristics:** - Provides verified, structured professional data - Returns prospects with detailed role information **Filter Types:** **Enum-Based Filters** (use values directly from the lists below): - `job_level`: List[JobLevel] - Seniority level of the job - Available values: "c-suite", "manager", "owner", "senior non-managerial", "partner", "freelancer", "junior", "director", "board member", "founder", "president", "senior manager", "advisor", "non-managerial", "vice president" - `job_department`: List[JobDepartment] - Department or function in the organization - Available values: "administration", "healthcare", "partnerships", "c-suite", "design", "human resources", "engineering", "education", "strategy", "product", "sales", "r&d", "retail", "customer success", "security", "public service", "creative", "it", "support", "marketing", "trade", "legal", "operations", "real estate", "procurement", "data", "manufacturing", "logistics", "finance" - `company_size`: List[NumberOfEmployeesRange] - Employee count range - Available values: "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" - `company_revenue`: List[CompanyRevenue] - Revenue range in USD - Available values: "0-500K", "500K-1M", "1M-5M", "5M-10M", "10M-25M", "25M-75M", "75M-200M", "200M-500M", "500M-1B", "1B-10B", "10B-100B", "100B-1T", "1T-10T", "10T+" - `total_experience_months`: RangeInt - Experience in months (e.g., {"gte": 12, "lte": 120}) - `current_role_months`: RangeInt - Months in current role (e.g., {"gte": 6, "lte": 24}) - `company_age`: List[CompanyAgeRange] - Years since company founding - Available values: "0-3", "3-6", "6-10", "10-20", "20+" - `company_number_of_locations`: List[NumberOfLocations] - Number of office locations the company operates - Available values: "0-1", "2-5", "6-20", "21-50", "51-100", "101-1000", "1001+" **Boolean Filters** (true/false/null): - `has_email`: literal true or null - Filter to include only prospects with verified email addresses - `has_phone_number`: literal true or null - Filter to include only prospects with available phone numbers - `has_website`: boolean or null - Set to true for prospects from companies with websites, false for prospects from companies without websites, or null to include all - `is_public_company`: boolean or null - Set to true for prospects from publicly traded companies (with stock tickers), false for private companies, or null to include all **Autocomplete-Required Filters** (standardized values MUST be obtained from autocomplete tool FIRST): - `linkedin_category`: LinkedIn industry categories - REQUIRES autocomplete - `job_title`: Job titles - REQUIRES autocomplete - `interests`: Professional interests - REQUIRES autocomplete - `skills`: Professional skills - REQUIRES autocomplete - `naics_category`: NAICS industry codes - REQUIRES autocomplete - `business_id`: Business IDs - REQUIRES match-business or fetch-businesses **Direct-Use Filters** (use standard codes directly, no autocomplete needed): - `country_code`: ISO Alpha-2 country codes (e.g., "US", "IL") - `company_country_code`: ISO Alpha-2 country codes (e.g., "US", "IL") - `region_country_code`: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") - `company_region_country_code`: ISO 3166-2 region codes (e.g., "US-NY", "IL-TA") **Technical Constraints:** - `linkedin_category` and `naics_category` are mutually exclusive - `region_country_code` and `country_code` are mutually exclusive - `company_region_country_code` and `company_country_code` are mutually exclusive - **CRITICAL:** Search requests using linkedin_category, job_title, interests, skills, naics_category, or business_id filters will fail without standardized values obtained first from their respective tools **Returns:** Prospect records including prospect IDs (usable with enrich-prospects or fetch-prospects-events) **Performance Note:** All applicable filters can be combined in a single request | | `EXPLORIUM_MCP_FETCH_PROSPECTS_EVENTS` | Fetch-prospects-events | Retrieves prospect-related events from the Explorium API in bulk. Use this when querying for prospect-related events about businesses: Example workflow: Fetch businesses > Fetch prospects > Fetch prospects events | | `EXPLORIUM_MCP_FETCH_PROSPECTS_STATISTICS` | Fetch-prospects-statistics | Fetch aggregated insights into prospects by job department, and geographic distribution. **Output Structure:** Returns statistics with: - **total_results**: Total number of prospects matching the filters - **job_department_breakdown**: Count by department (Engineering, Sales, Marketing, etc.) - **country_breakdown**: Count by country location | | `EXPLORIUM_MCP_MATCH_BUSINESS` | Match-business | Retrieves Explorium business IDs that are REQUIRED as input parameters for all business enrichment operations (enrich-business, fetch-businesses-events). **Input Options:** - Name only: {"name": "Google"} - Domain only: {"domain": "microsoft.com"} - Both (recommended for accuracy): {"name": "Amazon", "domain": "amazon.com"} **Returns:** Business IDs that MUST be provided to enrichment tools **Technical Requirements:** - enrich-business REQUIRES business IDs from this tool or fetch-businesses - fetch-businesses-events REQUIRES business IDs from this tool or fetch-businesses - Business IDs cannot be used interchangeably with prospect IDs **Use Cases:** Questions about specific companies: - Company information (size, revenue, industry, location) - Executive teams or employee data - Technology stack analysis - Funding history or investors - Company events or changes - Workforce trends and hiring - Contact information for anyone at a company - Competitive analysis or market positioning **Example Queries:** - "What is [Company]'s revenue?" - "Who is the CEO/CTO/CMO of [Company]?" - "What technologies does [Company] use?" - "How many employees does [Company] have?" - "What is [Company]'s funding history?" - "Find me contacts at [Company]" **Data Characteristics:** - Provides verified, structured B2B data - Returns accurate firmographics - Enables access to comprehensive company intelligence - Delivers real-time employee data and contact information **Note:** fetch-businesses returns include business IDs, so this tool is not needed after fetch-businesses | | `EXPLORIUM_MCP_MATCH_PROSPECTS` | Match-prospects | Retrieves Explorium prospect IDs that are REQUIRED as input parameters for all prospect enrichment operations (enrich-prospects, fetch-prospects-events). **Input Requirements:** - Email OR (full name + company name) - Optional: phone number, LinkedIn URL, business ID **Returns:** Prospect IDs that MUST be provided to enrichment tools **Technical Requirements:** - enrich-prospects REQUIRES prospect IDs from this tool or fetch-entities - fetch-prospects-events REQUIRES prospect IDs from this tool or fetch-entities - Prospect IDs cannot be used interchangeably with business IDs **Use Cases:** Questions about specific people: - "Who is [Name] at [Company]?" - "Get me [Person's] contact information" - "Tell me about [Specific Person]" - Professional background of named individuals - Contact details, work history, social profiles of specific people **Data Characteristics:** - Provides verified, current professional data - Returns structured contact info (emails, phones) - Gives comprehensive B2B intelligence **Note:** fetch-entities returns include prospect IDs, so this tool is not needed after fetch-entities | | `EXPLORIUM_MCP_WEB_SEARCH` | Web-search | Perform web search using Explorium Search capabilities. **Use this tool for:** - General web searches and current information - News articles and press releases - Industry trends and market research - Public information not available in Explorium's business intelligence data - Recent events and developments - General research queries **IMPORTANT: For company-specific or people-specific queries, prefer using the dedicated Explorium tools first:** - For company information: use 'match-business' and business enrichment tools - For people information: use 'match-prospects' and prospect enrichment tools - For a job title based search within a company use `fetch-prospects` - Only use search when you need general web information or when specific business tools don't have the data Returns: - Search results with titles, URLs, and snippets - Response metadata | ## Supported Triggers None listed. ## Installation and MCP Setup ### Path 1: SDK Installation #### Path 1, Step 1: Install Composio Install the Composio SDK ```python pip install composio_openai ``` ```typescript npm install @composio/openai ``` #### Path 1, Step 2: Initialize Composio and Create Tool Router Session Import and initialize Composio client, then create a Tool Router session ```python from openai import OpenAI from composio import Composio from composio_openai import OpenAIResponsesProvider composio = Composio(provider=OpenAIResponsesProvider()) openai = OpenAI() session = composio.create(user_id='your-user-id') ``` ```typescript import OpenAI from 'openai'; import { Composio } from '@composio/core'; import { OpenAIResponsesProvider } from '@composio/openai'; const composio = new Composio({ provider: new OpenAIResponsesProvider(), }); const openai = new OpenAI({}); const session = await composio.create('your-user-id'); ``` #### Path 1, Step 3: Execute Explorium MCP Tools via Tool Router with Your Agent Get tools from Tool Router session and execute Explorium MCP actions with your Agent ```python tools = session.tools response = openai.responses.create( model='gpt-4.1', tools=tools, input=[{ 'role': 'user', 'content': 'YOUR_SPECIFIC_PROMPT_HERE' }] ) result = composio.provider.handle_tool_calls( response=response, user_id='your-user-id' ) print(result) ``` ```typescript const tools = session.tools; const response = await openai.responses.create({ model: 'gpt-4.1', tools: tools, input: [{ role: 'user', content: 'YOUR_SPECIFIC_PROMPT_HERE' }], }); const result = await composio.provider.handleToolCalls( 'your-user-id', response.output ); console.log(result); ``` ### Path 2: MCP Server Setup #### Path 2, Step 1: Install Composio Install the Composio SDK for Python or TypeScript ```python pip install composio claude-agent-sdk ``` ```typescript npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp ``` #### Path 2, Step 2: Initialize Client and Create Tool Router Session Import and initialize the Composio client, then create a Tool Router session for Explorium MCP ```python from composio import Composio from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions composio = Composio(api_key='your-composio-api-key') session = composio.create(user_id='your-user-id') url = session.mcp.url ``` ```typescript import { Composio } from '@composio/core'; const composio = new Composio({ apiKey: 'your-api-key' }); const session = await composio.create('your-user-id'); console.log(`Tool Router session created: ${session.mcp.url}`); ``` #### Path 2, Step 3: Connect to AI Agent Use the MCP server with your AI agent (Anthropic Claude or Mastra) ```python import asyncio options = ClaudeAgentOptions( permission_mode='bypassPermissions', mcp_servers={ 'tool_router': { 'type': 'http', 'url': url, 'headers': { 'x-api-key': 'your-composio-api-key' } } }, system_prompt='You are a helpful assistant with access to Explorium MCP tools.', max_turns=10 ) async def main(): async with ClaudeSDKClient(options=options) as client: await client.query('YOUR_SPECIFIC_PROMPT_HERE') async for message in client.receive_response(): if hasattr(message, 'content'): for block in message.content: if hasattr(block, 'text'): print(block.text) asyncio.run(main()) ``` ```typescript import { openai } from '@ai-sdk/openai'; import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp'; import { generateText } from 'ai'; const client = await createMCPClient({ transport: { type: 'http', url: session.mcp.url, headers: { 'x-api-key': 'your-composio-api-key', }, }, }); const tools = await client.tools(); const { text } = await generateText({ model: openai('gpt-4o'), tools, messages: [{ role: 'user', content: 'YOUR_SPECIFIC_PROMPT_HERE' }], maxSteps: 5, }); console.log(`Agent: ${text}`); ``` ## Why Use Composio? ### 1. AI Native Explorium MCP Integration - Supports both Explorium MCP and direct API based integrations - Structured, LLM-friendly schemas for reliable tool execution - Rich coverage for reading, writing, and querying your Explorium MCP data ### 2. Managed Auth - Built-in OAuth handling with automatic token refresh and rotation - Central place to manage, scope, and revoke Explorium MCP access - Per user and per environment credentials instead of hard-coded keys ### 3. Agent Optimized Design - Tools are tuned using real error and success rates to improve reliability over time - Comprehensive execution logs so you always know what ran, when, and on whose behalf ### 4. Enterprise Grade Security - Fine-grained RBAC so you control which agents and users can access Explorium MCP - Scoped, least privilege access to Explorium MCP resources - Full audit trail of agent actions to support review and compliance ## Use Explorium MCP with any AI Agent Framework Choose a framework you want to connect Explorium MCP with: - [ChatGPT](https://composio.dev/toolkits/explorium_mcp/framework/chatgpt) - [Claude Cowork](https://composio.dev/toolkits/explorium_mcp/framework/claude-cowork) - [Hermes](https://composio.dev/toolkits/explorium_mcp/framework/hermes-agent) ## 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. - [AccuWeather](https://composio.dev/toolkits/accu_weather) - AccuWeather is a global weather service providing current conditions, forecasts, MinuteCast precipitation, alerts, and lightning data. Use it for fast, localized forecasts and real-time weather alerts. - [Adafruit IO](https://composio.dev/toolkits/adafruit_io) - Adafruit IO is Adafruit's cloud platform for connected device and IoT project data. It helps you store, visualize, and act on sensor feeds without running your own backend. - [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. - [ApexVerify](https://composio.dev/toolkits/apexverify) - ApexVerify is a contact-data validation service for emails and phone numbers. Use it to normalize, verify, and clean leads before they enter your systems. - [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. - [Beach Day API](https://composio.dev/toolkits/beach_day_api) - Beach Day API is a beach intelligence service for search, conditions, scores, rules, amenities, tides, and country coverage. Use it to power trip planning, surf reports, safety checks, and location-aware beach discovery. - [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. ## Frequently Asked Questions ### Do I need my own developer credentials to use Explorium MCP with Composio? Yes, Explorium MCP requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you. ### Can I use multiple toolkits together? Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview). ### Is Composio secure? Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev). ### What if the API changes? Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)