Apify MCP Server
Search Actors Search for Actors in the Apify Store Actor details Retrieve detailed information about a specific Actor Call Actor Generic tool to call any Actor by ID and input Search documentation Search the Apify documentation Fetch documentation Fetch the full content of a documentation page Dynamic Actor addition Add an Actor as a new tool for the session Get Actor run Get detailed information about a specific Actor run List Actor runs Get a list of an Actor's runs, filterable by status Get run logs Retrieve the logs for a specific Actor run Get dataset Get metadata about a specific dataset Get dataset items Retrieve dataset items with pagination/filtering List datasets List all datasets for the user Get dataset schema Get the JSON schema of dataset items Get key-value store Get metadata for a key-value store List store keys List keys in a specific key-value store Get store record Get a value by key from a key-value store List key-value stores List all key-value stores
The Apify MCP Server allows AI applications to programmatically interact with the Apify platform. It exposes a suite of tools for searching, calling, and managing Apify Actors, accessing documentation, and working with datasets and key-value stores.
How to use
The server is accessible via an SSE endpoint, typically https://mcp.apify.com/. AI clients can connect to this endpoint to utilize the exposed tools, such as actors (for Actor management), docs (for documentation access), and specific Actor tools like apify/rag-web-browser.
Implementation
It acts as a bridge between AI models and the Apify cloud platform, translating AI requests into Apify API calls and returning structured results.
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