transfer-ai-mcp
A small MCP server for relaying or proxying AI endpoints, supporting OpenAI-style and Gemini-style APIs for text and image generation.
README
transfer-ai-mcp
transfer-ai-mcp is a small MCP server for relay or proxy AI endpoints. It reads configuration from environment variables and exposes tools for text generation and image generation.
Features
- Supports
openai-style andgemini-style HTTP APIs - Configurable
url,key, andmodelthrough environment variables - Saves generated images locally and returns file paths (no base64 in MCP response)
- Packaged as a standalone Node library for reuse on other machines
Changelog
v0.2.0
- Fix:
generate_imageno longer returns base64 image data in MCP response. This fixes a crash in MCP clients (e.g. Kiro) that occurred when processing large image payloads in subsequent turns. Images are saved to disk and only file paths are returned. - Change: Default
TRANSFER_AI_API_FORMATchanged fromopenaitogemini. - Response now includes file size info for each saved image.
v0.1.0
- Initial release.
Install
npm install
For a global install:
npm install -g .
Then run:
transfer-ai-mcp
Environment variables
Required:
TRANSFER_AI_API_KEYTRANSFER_AI_BASE_URLunless you useTRANSFER_AI_TEXT_URLandTRANSFER_AI_IMAGE_URLTRANSFER_AI_MODELunless you set bothTRANSFER_AI_TEXT_MODELandTRANSFER_AI_IMAGE_MODEL
Optional:
TRANSFER_AI_API_FORMATopenaiorgemini- default:
gemini
TRANSFER_AI_AUTH_MODEbearer,query,x-goog-api-key, ornone- default:
bearer
TRANSFER_AI_TEXT_MODELTRANSFER_AI_IMAGE_MODELTRANSFER_AI_TEXT_URLTRANSFER_AI_IMAGE_URLTRANSFER_AI_TEXT_PATHTRANSFER_AI_IMAGE_PATHTRANSFER_AI_OUTPUT_DIR
Default endpoint behavior
If TRANSFER_AI_API_FORMAT=openai:
- text requests default to
/v1/chat/completions - image requests default to
/v1/chat/completions
If TRANSFER_AI_API_FORMAT=gemini:
- text requests default to
/v1beta/models/{model}:generateContent - image requests default to
/v1beta/models/{model}:generateContent
Override any of these with TRANSFER_AI_TEXT_URL, TRANSFER_AI_IMAGE_URL, TRANSFER_AI_TEXT_PATH, or TRANSFER_AI_IMAGE_PATH.
Tools
get_configuration_statusgenerate_textgenerate_imageget_last_image_info
generate_text arguments:
promptsystemPromptmodeltemperaturemaxTokensextraBody
generate_image arguments:
promptsystemPromptmodelaspectRatioimageSizeoutputPathextraBody
Kiro / VS Code MCP example
{
"mcpServers": {
"transfer-ai": {
"command": "node",
"args": ["/path/to/transfer-ai-mcp/dist/index.js"],
"env": {
"TRANSFER_AI_API_FORMAT": "gemini",
"TRANSFER_AI_AUTH_MODE": "bearer",
"TRANSFER_AI_API_KEY": "your-api-key",
"TRANSFER_AI_BASE_URL": "https://your-endpoint.example.com",
"TRANSFER_AI_MODEL": "gemini-2.0-flash-preview-image-generation",
"TRANSFER_AI_OUTPUT_DIR": "/path/to/output/images"
},
"disabled": false,
"autoApprove": ["generate_image", "get_configuration_status"]
}
}
}
Codex MCP example
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。