MCP server · Automat

automat-docs

Hosted MCP server published by Automat for AI client integration (Claude Code, Cursor, and other MCP clients). Advertised in the Automat documentation and llms.txt. Exposes the Automat documentation and the Extract API surface to agents over remote MCP.

Open endpoint → Automat provider profile

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

Provider: Automat Type: Hosted endpoint Transport: http Host: docs.runautomat.com

Endpoint

https://docs.runautomat.com/_mcp/server

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "automat": { "url": "https://docs.runautomat.com/_mcp/server" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "automat": { "command": "npx", "args": ["-y", "mcp-remote", "https://docs.runautomat.com/_mcp/server"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://docs.runautomat.com/_mcp/server \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

extract — Extract structured data from a document using a configured extractor.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.