hiveflow-mcp-server

hiveflow-mcp-server

3.2

If you are the rightful owner of hiveflow-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The @hiveflow/mcp-server is the official Model Context Protocol (MCP) server for HiveFlow, enabling seamless integration of AI assistants with the HiveFlow automation platform.

The @hiveflow/mcp-server acts as a bridge between AI assistants like Claude and Cursor and the HiveFlow automation platform. It allows users to connect their AI tools directly to HiveFlow, facilitating the creation, management, and execution of automation flows. The server is designed to be secure, with API keys transmitted over HTTPS and all requests authenticated and authorized. It supports both cloud-based and self-hosted setups, providing flexibility for different deployment scenarios. The server is easy to install and configure, with support for environment variables and command-line options to customize its behavior. Users can manage their automation flows, access execution history, and configure MCP servers through a set of available tools and resources. The server is also designed with troubleshooting in mind, offering detailed logging and common issue resolutions to ensure smooth operation.

Features

  • Seamless integration with AI assistants and HiveFlow
  • Secure API key transmission and request authentication
  • Support for cloud-based and self-hosted setups
  • Easy installation and configuration
  • Comprehensive flow management tools

Tools

  1. create_flow

    Create new automation flows

  2. list_flows

    List all your flows

  3. get_flow

    Get details of a specific flow

  4. execute_flow

    Execute a flow with optional inputs

  5. pause_flow

    Pause an active flow

  6. resume_flow

    Resume a paused flow

  7. get_flow_executions

    Get execution history

  8. list_mcp_servers

    List configured MCP servers

  9. create_mcp_server

    Register new MCP servers