# Competitive Intelligence MCP Server (`onetapstudio/competitive-intelligence-mcp`) Actor Monitor competitors across their website, job postings, social media, and tech stack from one tool call. Detect changes, compare up to 5 competitors side by side, and identify what technologies they use. - **URL**: https://apify.com/onetapstudio/competitive-intelligence-mcp.md - **Developed by:** [Adam Hartman](https://apify.com/onetapstudio) (community) - **Categories:** MCP servers, SEO tools, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $500.00 / 1,000 competitor scanneds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Competitive Intelligence MCP Server Monitor competitors across their website, job postings, social media, and tech stack. All from one tool call inside your AI assistant. ### What This Does You give it a competitor's domain and it tells you what they're built on, who they're hiring, what they're posting on social media, and when their website changes. One place for everything you'd normally spend hours researching. Want to know what tech stack ClickUp runs? One call. Want to know if a competitor just added 20 engineering job postings? You'll see it. Want to get alerted when their pricing page changes? Set it up and forget it. This is an MCP (Model Context Protocol) server. Your AI assistant (Claude, GPT, or any MCP-compatible client) can call these tools directly during a conversation. Ask "what tech stack does clickup.com use" and your assistant gives you the answer. ### How It Works 1. Install this server in your MCP client (Claude Desktop, Cursor, or any MCP-compatible app) 2. Your AI assistant gets access to the tools below 3. Ask about any competitor and your assistant calls the right tool 4. Intelligence comes back as structured data No manual research. No tab switching. Just ask. ### Tools #### `monitor_competitor` Get a full overview of a competitor. Website info, social presence, hiring activity, and recent changes. **Example request:** ```json { "domain": "clickup.com" } ```` **Example response:** ```json { "domain": "clickup.com", "company": "ClickUp", "description": "Project management and productivity platform", "social": { "twitter": "@clickup", "twitter_followers": 85400, "linkedin_employees": 1200, "facebook_likes": 45000 }, "hiring": { "open_positions": 47, "top_departments": ["Engineering", "Sales", "Product"], "recent_postings": 12 }, "website_status": "up", "last_major_change": "2026-03-10" } ``` #### `detect_changes` Track changes on specific pages of a competitor's website. Pricing pages, feature pages, landing pages. **Example request:** ```json { "url": "https://clickup.com/pricing", "check_frequency": "daily" } ``` **Example response:** ```json { "url": "https://clickup.com/pricing", "last_checked": "2026-03-22", "changes_detected": true, "changes": [ { "date": "2026-03-10", "type": "price_change", "details": "Business plan increased from $12/mo to $14/mo per user" }, { "date": "2026-02-28", "type": "content_change", "details": "Added new AI features section to Enterprise tier" } ] } ``` #### `compare_competitors` Compare multiple competitors on key metrics like social presence, hiring activity, and web traffic estimates. **Example request:** ```json { "competitors": ["clickup.com", "monday.com", "asana.com"] } ``` **Example response:** ```json { "comparison": [ { "domain": "clickup.com", "employees": 1200, "open_positions": 47, "twitter_followers": 85400, "monthly_traffic_estimate": "12M" }, { "domain": "monday.com", "employees": 1900, "open_positions": 63, "twitter_followers": 72000, "monthly_traffic_estimate": "18M" }, { "domain": "asana.com", "employees": 1650, "open_positions": 38, "twitter_followers": 95000, "monthly_traffic_estimate": "15M" } ] } ``` #### `tech_stack` Detect the technology stack behind any website. Frameworks, analytics, CDNs, payment processors, and more. **Example request:** ```json { "domain": "clickup.com" } ``` **Example response:** ```json { "domain": "clickup.com", "technologies": { "frontend": ["Next.js", "Angular", "React"], "analytics": ["Google Analytics", "Segment", "Hotjar"], "cdn": ["Cloudflare"], "hosting": ["AWS"], "payments": ["Stripe"], "marketing": ["HubSpot", "Intercom", "Drift"] }, "total_detected": 14 } ``` ### Pricing | Tool | Cost | |------|------| | `monitor_competitor` | $0.50 per scan | | `detect_changes` | $0.25 per detection | | `compare_competitors` | $0.40 per competitor | | `tech_stack` | $0.10 per detection | Pay per use. No subscriptions required. ### Other OnetapStudio MCP Servers - [Lead Enrichment Pipeline](https://apify.com/onetapstudio/lead-enrichment-mcp) - Find businesses on Google Maps and get emails, phones, and social profiles. - [Review & Reputation Intelligence](https://apify.com/onetapstudio/review-reputation-mcp) - Pull reviews from Google, Yelp, and Trustpilot. Get sentiment scores and brand comparisons. - [E-Commerce Price Intelligence](https://apify.com/onetapstudio/price-intelligence-mcp) - Compare product prices across Amazon, Walmart, Target, eBay, and Best Buy. - [Job Market Intelligence](https://apify.com/onetapstudio/job-market-intelligence-mcp) - Search jobs across Indeed and LinkedIn. Get salary data and hiring trends. # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("onetapstudio/competitive-intelligence-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("onetapstudio/competitive-intelligence-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call onetapstudio/competitive-intelligence-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=onetapstudio/competitive-intelligence-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Competitive Intelligence MCP Server", "description": "Monitor competitors across their website, job postings, social media, and tech stack from one tool call. Detect changes, compare up to 5 competitors side by side, and identify what technologies they use.", "version": "1.0", "x-build-id": "4fiC7igK1iBptYbCZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/onetapstudio~competitive-intelligence-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-onetapstudio-competitive-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/onetapstudio~competitive-intelligence-mcp/runs": { "post": { "operationId": "runs-sync-onetapstudio-competitive-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/onetapstudio~competitive-intelligence-mcp/run-sync": { "post": { "operationId": "run-sync-onetapstudio-competitive-intelligence-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```