Gemini MCP 是一个基于 Google Gemini 2.0 Flash 模型的 MCP（Model Context Protocol）服务器，专门用于图像分析和处理。它可以无缝集成到 Claude Desktop、Cursor 等支持 MCP 协议的 AI 助手中，提供强大的视觉理解能力。 - 多模态分析：支持图片内容理解、场景识别、文字提取等 - 灵活输入：支持本地文件路径、网络 URL、Base64 编码等多种图片输入方式 - 流式响应：实时流式输出分析结果，提升用户体验 - 智能存储：自动保存处理结果和
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Ceeon
Source: modelscope
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GEMINI_API_KEYyour-api-key uvx gemini-mcpAPI_BASE_URLMODEL_NAMEGEMINI_MCP_OUTPUT_DIRPYPI_TOKENTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
1/1 tools missing one or more hints — send_images_to_gemini (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
Secrets never reach shell commands
1 secret value passed to shell commands — possible command injection
Never pass secrets through shell commands. Use library APIs that accept credentials as arguments.
Secrets not logged
1 secret value sent to console.log
Redact or omit secret values from log output.
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