Flux Studio
MCP Flux Studio bridges Flux's advanced image generation capabilities to AI coding assistants in Cursor and Windsurf (Codeium) IDEs. This TypeScript server implementation exposes four tools through the Model Context Protocol: text-to-image generation, image-to-image transformation, inpainting with customizable masks, and structural control generation (canny, depth, pose). It works by translating MCP tool calls into commands for the Flux CLI, executing them via Python, and returning the results to the IDE. Particularly valuable for developers who need to generate or manipulate images directly within their coding workflow without switching contexts.
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
- media
- Source
- PulseMCP
- Repository
- github.com/jmanhype/mcp-flux-studio
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Flux Studio 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.