Banana Image (Gemini)
Production-ready server for AI-powered image generation using Google's Gemini models, featuring intelligent routing between Gemini 2.5 Flash Image for speed and Gemini 3 Pro Image for quality. Built by Wenliang Zeng with FastMCP, it supports up to 4K resolution output, Google Search grounding for factual accuracy, configurable reasoning levels, and automatic model selection based on prompt analysis. The server provides comprehensive image generation tools, file management through Gemini Files API, prompt templates for photography and design workflows, and progress tracking for long-running operations, making it ideal for professional content creation, rapid prototyping, and production-grade image workflows.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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/zengwenliang416/banana-image-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Banana Image (Gemini) 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.