The HiveFlow MCP Server is the official bridge between AI assistants (Claude, Cursor, and others) and the HiveFlow automation platform. Install globally with npm i -g @hiveflow/mcp-server and configure it in your MCP client (for example .cursor/mcp.json) to expose HiveFlow as an MCP service. The configuration demonstrates running the server via npx with the appropriate arguments and supplying credentials through HIVEFLOW_API_KEY and HIVEFLOW_API_URL. For local development, you can point the API URL to http://localhost:5000. This server acts as a node that translates requests from your AI assistant into HiveFlow API calls, enabling flow creation, execution, and management from natural assistant prompts. Features include Flow Management tools such as create_flow, list_flows, get_flow, execute_flow, pause_flow, resume_flow, and get_flow_executions, as well as MCP Server Management by listing configured MCP servers. The MCP server supports resources like hiveflow://flows, hiveflow://mcp-servers, and hiveflow://executions, and can be invoked via the hiveflow-mcp CLI. Security is emphasized: API keys are transmitted over HTTPS, all requests are authenticated, and no data is stored locally by the MCP server. It operates as AI Assistant ↔ MCP Server ↔ HiveFlow API, with troubleshooting guidance and documentation links for setup and usage.