About Base64编码解码MCP服务器
Base64编码解码MCP服务器 handles Base64 conversion for text and images, for users processing encoded data in AI workflows. It also supports Data URLs and provides tools, resources, and prompt templates.
Key features
- 01Base64 encoding and decoding for text
- 02Base64 encoding and decoding for images
- 03Data URL format support
- 04Tools, resources, and prompt templates
- 05Dependency management with uv
Use cases
- 01Converting encoded text
- 02Encoding images as Base64
- 03Decoding Base64 images to files
- 04Getting guidance through prompt templates
MCP support
The server provides MCP clients with text and image conversion tools, resources, and prompt templates.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEBase64编码解码MCP服务器
一个简单高效的MCP服务器,专注于提供Base64编码和解码功能,支持文本和图片的Base64转换。
功能特点
- 文本Base64编码和解码
- 图片Base64编码和解码
- 支持Data URL格式
- 简单易用的API
- 使用uv进行依赖管理
安装
使用uv安装
# 创建虚拟环境
uv venv
# 激活虚拟环境(Linux/macOS)
source .venv/bin/activate
# 激活虚拟环境(Windows)
.venv\Scripts\activate
# 安装包(开发模式)
uv pip install -e .
# 安装带开发依赖的包
uv pip install -e ".[dev]"
安装Smithery
使用Smithery为Claude桌面安装Base64编码解码MCP服务器,使用以下命令:
npx -y @smithery/cli install @liuyazui/base64_server --client claude
使用方法
使用MCP Inspector测试
# 使用MCP Inspector测试服务器
uv run mcp dev base64_server.py
与MCP client集成
-
添加服务器配置:
{ "mcpServers": { "base64-encoder": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "mcp", "run", "[path to base64_server.py]" ] } } }
API参考
工具(Tools)
- base64_encode_text(text: str) -> str:将文本转换为Base64编码
- base64_decode_text(encoded: str) -> str:将Base64编码解码为文本
- base64_encode_image(image_path: str) -> str:将图片转换为Base64编码
- base64_decode_image(encoded: str, output_path: str, mime_type: str = "image/png") -> str:将Base64编码解码为图片
资源(Resources)
- encode://base64/text/{text}:获取文本的Base64编码
- decode://base64/text/{encoded}:获取Base64编码的解码结果
- encode://base64/image/{image_path}:获取图片的Base64编码
- decode://base64/image/{encoded}:获取Base64编码的解码图片
提示模板(Prompts)
- base64_usage_guide(): 提供Base64服务的基本使用指南
- encode_text_prompt(text: str): 文本编码提示模板
- encode_image_prompt(image_path: str): 图片编码提示模板
- error_handling_prompt(error_message: str): 错误处理提示模板
使用示例:
# 获取使用指南提示
messages = await client.get_prompt("base64_usage_guide")
# 获取文本编码提示
messages = await client.get_prompt("encode_text_prompt", {"text": "Hello World"})
开发
许可证
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.