HiveFlow
Official HiveFlow MCP server that enables AI assistants to automate workflows and manage flows through the HiveFlow platform. Built by the HiveFlow team using Node.js with dependencies on the Model Context Protocol SDK, Axios for HTTP requests, and Commander for CLI functionality, this server provides a bridge between MCP-compatible AI assistants like Claude and Cursor and HiveFlow's workflow automation capabilities. The implementation supports both programmatic execution and command-line usage, making it valuable for users who want to trigger automated workflows, manage business processes, or integrate workflow automation directly into their AI assistant interactions without manually accessing the HiveFlow web interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- other
- Source
- PulseMCP
- Repository
- github.com/hiveflowai/hiveflow-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve HiveFlow from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.