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mcp-gemini

在调用Gemini AI进行图像分析、图像生成、基于事实的网络搜索、代码执行、文本转语音或视频分析时使用。触发于Gemini, gemini_analyze, gemini_image, 分析图像, 生成图像, Gemini搜索, 基于事实的搜索, gemini_code_execute, 在沙盒中运行Python, Gemini TTS, 文本转语音, gemini_video, 视频分析, Gemini MCP, gemini_embed, 嵌入, 解决验证码, 图像编辑, Gemini聊天。

person作者: jakexiaohubgithub
open_in_new仓库download下载资源包

MCP Gemini

Multimodal AI capabilities via Gemini MCP (lazy-loaded via ToolSearch).

CRITICAL: Model is gemini-3.1-flash-lite-preview. The older 2.5-flash and 2.0-flash are DEPRECATED and return 404.

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ToolSearch: +gemini

MCP Tools

| Task | Tool | When to Use | |------|------|-------------| | Chat | mcp__gemini__gemini_chat | Complex reasoning, long context | | Chat (fast) | mcp__gemini__gemini_chat_flash | Quick answers, simple tasks | | Analyze image | mcp__gemini__gemini_analyze | Screenshots, UI mockups, diagrams, CAPTCHAs | | Generate image | mcp__gemini__gemini_image | Create images from text prompts | | Fast image gen | mcp__gemini__gemini_image_fast | Quick image generation | | Edit image | mcp__gemini__gemini_image_edit | Modify existing images | | Code execution | mcp__gemini__gemini_code_execute | Run Python in sandboxed env | | Web search | mcp__gemini__gemini_search | Grounded search with citations | | Text-to-speech | mcp__gemini__gemini_tts | Generate audio from text | | Video analysis | mcp__gemini__gemini_video | Analyze video content | | Video status | mcp__gemini__gemini_video_status | Check video processing status | | Embed text | mcp__gemini__gemini_embed | Generate text embeddings |

Common Patterns

CAPTCHA Solving

1. Screenshot the CAPTCHA: browser-agent screenshot -> /tmp/captcha.png
2. gemini_analyze(image_path="/tmp/captcha.png", prompt="Extract the text from this CAPTCHA")
3. Type the extracted text back into the form

Image Analysis (UI Review)

gemini_analyze(
  image_path="/tmp/screenshot.png",
  prompt="Analyze this UI screenshot. Identify layout issues, accessibility problems, and visual inconsistencies."
)

Grounded Web Search

gemini_search(query="latest React 19 features and breaking changes")

Returns results with citations -- use for current information beyond training data.

Sandboxed Code Execution

gemini_code_execute(code="import pandas as pd\ndf = pd.DataFrame({'a': [1,2,3]})\nprint(df.describe())")

Runs Python with common data science libraries available.

Video Analysis

gemini_video(video_url="https://youtube.com/watch?v=...", prompt="Summarize key points")
gemini_video_status(operation_id="...") -- check if processing complete

Video analysis can be async -- use video_status to poll.

Image Generation

gemini_image(prompt="A clean, modern SaaS dashboard with analytics cards")
gemini_image_fast(prompt="Simple icon of a rocket ship") -- faster, lower quality
gemini_image_edit(image_path="/tmp/original.png", prompt="Change the background to dark blue")

Decision Tree

Need current info? -> gemini_search (grounded, cited)
Need to understand an image? -> gemini_analyze
Need to generate an image? -> gemini_image (quality) or gemini_image_fast (speed)
Need to run Python? -> gemini_code_execute
Need video insights? -> gemini_video + gemini_video_status
Need audio output? -> gemini_tts
Need embeddings? -> gemini_embed
General reasoning? -> gemini_chat (complex) or gemini_chat_flash (simple)

Gotchas

  • Model version: ALWAYS gemini-3.1-flash-lite-preview -- 2.5-flash and 2.0-flash return 404
  • Video is async: gemini_video starts processing; poll with gemini_video_status
  • Image paths: Use absolute paths (/tmp/screenshot.png) not relative
  • Search is grounded: Results include citations -- use for factual claims
  • Code sandbox: Has pandas, numpy, etc. but no network access or file system persistence