Rive Editor
This MCP integration connects the Rive Editor to AI tools through the Model Context Protocol, enabling AI assistants to automate repetitive design tasks like creating complex View Models, State Machines with hundreds of states and layers, Layouts, and Shapes. Currently available in the Early Access version of the Mac Desktop app with Windows support coming, it works with MCP-compatible AI tools like Cursor and requires the Rive Early Access app to be running to provide the server connection at localhost:9791/sse. Users can prompt the AI to generate complex Rive components and must type "End Prompt" to allow the AI to make changes to the Rive file, making it valuable for designers who want to accelerate their workflow by delegating time-consuming setup tasks to AI while maintaining creative control over the final output.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/rive-app/rive-docs
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Rive Editor 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.