# nanobanana-mcp-server

> nanobanana-mcp-server — ryaker-nanobanana-mcp-server. Use this tool when you need to generate AI images with consistent characters, faithful object representation, and contextual understanding. The nanobanana-mcp-server provides a robust MCP server for image generation, addressing issues of character inconsistency, object fidelity, and contextual grounding. It integrates with Gemini, accepting input parameters for character consistency, object fidelity, grounding, and thinking mode, and outputs generated images.

Canonical page: https://skillsregistry.net/skills/ryaker-nanobanana-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ryaker-nanobanana-mcp-server

## Description

MCP server for AI image generation with Gemini — character consistency, object fidelity, grounding, and thinking mode

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ryaker/nanobanana-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ryaker-nanobanana-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryaker-nanobanana-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryaker-nanobanana-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt