Flowise
This Flowise integration, developed by Matthew Hand, provides a seamless connection between Flowise and the Model Context Protocol (MCP). It allows users to interact with Flowise chatflows and assistants through a standardized MCP interface, enabling easy integration into existing MCP-compatible systems. The implementation offers flexibility in configuration, supporting both specific chatflow/assistant locking and dynamic selection. It's particularly useful for developers looking to incorporate Flowise's AI capabilities into their MCP-based applications, streamlining the process of AI-powered conversational interfaces and predictions.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- api-integration
- Source
- PulseMCP
- Repository
- github.com/matthewhand/mcp-flowise
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Flowise 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.