ZAI MCP服务器
一种模型上下文协议（MCP）服务器，使用ZAI的GLM-4.7-Flash模型提供网络搜索、内容获取和人工智能支持的摘要功能。
特性
- 网络搜索：使用DuckDuckGo搜索网络
- 内容获取：从任何网站上清理和提取文本
- AI总结：使用GLM-4.7-Flash总结网络内容
- 组合工作流：在一个操作中搜索、获取和汇总
- 快速高效：使用flash模型快速响应
工具
search_web
在网上搜索信息。
参数：
query（字符串，必填）：搜索查询num_results（数字，可选）：结果数量（1-10，默认值：5）
退货：
{
"query": "search term",
"count": 5,
"results": [
{
"title": "Result Title",
"url": "https://example.com",
"snippet": "Brief snippet of the content..."
}
]
}fetch_and_summarize
获取网站URL并总结其内容。
参数：
url（字符串，必填）：要获取的网站URLmax_content_length（数字，可选）：要处理的最大内容长度（默认值：10000）
退货：
{
"url": "https://example.com/article",
"title": "Article Title",
"summary": "AI-generated summary of the content...",
"content_length": 5000
}search_and_summarize
搜索网络，获取顶部结果，并对其进行总结。
参数：
query（字符串，必填）：搜索查询result_index（数字，可选）：获取哪个搜索结果（1-10，默认值：1）
退货：
{
"query": "search term",
"result_index": 1,
"url": "https://example.com/article",
"title": "Article Title",
"summary": "AI-generated summary...",
"total_results": 10
}安装
先决条件
- Python 3.8或更高版本
- ZAI API密钥（在https://z.ai/model-api)
- pip包管理器
从源代码安装
# Clone the repository
git clone https://github.com/yourusername/zai-mcp-server.git
cd zai-mcp-server
# Install dependencies
pip install -r requirements.txt
# Make server executable
chmod +x src/server.py快速开始
# Set your API key
export ZAI_API_KEY="your-zai-api-key"
# Run the server
python src/server.py配置
环境变量
| 变量 | 描述 | 必填 | 默认 |
|---|---|---|---|
ZAI_API_KEY | 您的ZAI API密钥 | 是 | - |
API配置
服务器使用以下ZAI API配置：
- 基础URL:
https://api.z.ai/api/paas/v4 - 模型:
glm-4.7-flash - 最大令牌数: 1000
- 温度: 0.7
用法
独立测试
# Test initialization
echo '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {}}' | python src/server.py
# List available tools
echo '{"jsonrpc": "2.0", "id": 2, "method": "tools/list", "params": {}}' | python src/server.py
# Search the web
echo '{"jsonrpc": "2.0", "id": 3, "method": "tools/call", "params": {"name": "search_web", "arguments": {"query": "AI news", "num_results": 3}}}' | python src/server.py与Claude Desktop集成
添加到Claude Desktop配置文件：
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json 视窗: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"zai": {
"command": "python3",
"args": ["/absolute/path/to/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "your-zai-api-key"
}
}
}
}与Cursor集成
添加到光标设置文件(~/.cursor/mcp_config.json):
{
"mcpServers": {
"zai": {
"command": "python3",
"args": ["/absolute/path/to/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "your-zai-api-key"
}
}
}
}与Cline集成（VS代码）
在VS Code中添加到MCP设置中：
{
"mcpServers": [
{
"name": "zai",
"command": "python3",
"args": ["/absolute/path/to/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "${env:ZAI_API_KEY}"
}
}
]
}与Continue集成
添加 ~/.continue/config.json:
{
"mcpServers": {
"zai": {
"command": "python3",
"args": ["/absolute/path/to/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "your-zai-api-key"
}
}
}
}与Roo Code集成
添加到Roo Code的MCP配置中：
{
"mcpServers": {
"zai": {
"command": "python3",
"args": ["/absolute/path/to/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "your-zai-api-key"
}
}
}
}OpenCode原生集成
设置
OpenCode原生支持MCP服务器。要配置：
- 创建/更新MCP配置文件:
# Default location: ~/.config/opencode/mcp_servers.json
mkdir -p ~/.config/opencode
nano ~/.config/opencode/mcp_servers.json- 添加ZAI MCP服务器配置:
{
"mcpServers": {
"zai": {
"name": "ZAI Web Search & Summarization",
"description": "Search web and summarize content using GLM-4.7-Flash",
"command": "python3",
"args": ["/home/op/zai-mcp-server/src/server.py"],
"env": {
"ZAI_API_KEY": "your-zai-api-key"
},
"enabled": true
}
}
}- 重新启动OpenCode 加载新的MCP服务器
OpenCode中的用法
配置后，您可以在OpenCode对话中使用MCP服务器：
User: Search for recent developments in AI and summarize the top result
Assistant: I'll use the ZAI MCP server to search and summarize for you.
[Calls search_and_summarize tool]
The ZAI MCP server found an article about recent AI developments. Here's a summary:
- Main point 1
- Main point 2
- Main point 3
Full article available at: https://example.com/ai-developments示例
示例1：网络搜索
# Request
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_web",
"arguments": {
"query": "machine learning trends 2024",
"num_results": 5
}
}
}
# Response
{
"jsonrpc": "2.0",
"id": 1,
"result": {
"content": [
{
"type": "text",
"text": JSON.stringify({
"query": "machine learning trends 2024",
"count": 5,
"results": [...]
})
}
]
}
}示例2：提取和汇总
# Request
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "fetch_and_summarize",
"arguments": {
"url": "https://www.example.com/article"
}
}
}
# Response
{
"jsonrpc": "2.0",
"id": 2,
"result": {
"content": [
{
"type": "text",
"text": JSON.stringify({
"url": "https://www.example.com/article",
"title": "Article Title",
"summary": "Key points:\n• Point 1\n• Point 2\n• Point 3",
"content_length": 5000
})
}
]
}
}示例3：搜索和总结（组合）
# Request
{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "search_and_summarize",
"arguments": {
"query": "quantum computing breakthrough",
"result_index": 1
}
}
}
# Response
{
"jsonrpc": "2.0",
"id": 3,
"result": {
"content": [
{
"type": "text",
"text": JSON.stringify({
"query": "quantum computing breakthrough",
"result_index": 1,
"url": "https://example.com/quantum-news",
"title": "Major Quantum Computing Breakthrough",
"summary": "Researchers have achieved a significant milestone...",
"total_results": 10
})
}
]
}
}测试
运行测试套件以验证服务器是否正常工作：
python examples/test_server.py预期产量：
============================================================
ZAI MCP Server Test Suite
============================================================
Testing initialization...
✓ Initialize: mcp-zai-server v1.0.0
Testing tools list...
✓ Available tools (3):
- search_web: Search the web for information using DuckDuckGo
- fetch_and_summarize: Fetch a website URL and summarize its content using GLM-4.7-Flash
- search_and_summarize: Search the web, fetch top result, and summarize using GLM-4.7-Flash
Testing resources list...
✓ Available resources (1):
- zai://status: Current status of ZAI MCP server
Testing resource read...
✓ Server status:
Status: online
Model: glm-4.7-flash
API Endpoint: https://api.z.ai/api/paas/v4
Tools: search_web, fetch_and_summarize, search_and_summarize
============================================================
✓ All tests passed!
============================================================发展
项目结构
zai-mcp-server/
├── src/
│ └── server.py # Main MCP server implementation
├── docs/
│ ├── ARCHITECTURE.md # Architecture documentation
│ └── API_REFERENCE.md # Detailed API reference
├── examples/
│ └── test_server.py # Test suite and examples
├── requirements.txt # Python dependencies
├── README.md # This file
└── .env.example # Environment variables template依赖项
aiohttp-异步HTTP客户端beautifulsoup4-HTML解析openai-适用于ZAI API的OpenAI兼容客户端
故障排除
常见问题
服务器无法启动
- 确保已安装Python 3.8+：
python --version - 检查是否安装了依赖项：
pip install -r requirements.txt - 验证是否设置了API密钥：
echo $ZAI_API_KEY
搜索未返回任何结果
- DuckDuckGo API可能有费率限制
- 尝试使用其他查询
- 检查互联网连接
摘要失败
- 验证API密钥在https://z.ai/model-api
- 检查API信用/余额
- 确保URL可访问
MCP客户端无法连接
- 验证配置中的服务器路径是否正确
- 确保Python3在系统PATH中
- 检查文件权限：
chmod +x src/server.py
调试模式
通过设置环境变量启用调试日志记录：
export ZAI_DEBUG=1
python src/server.py许可证
MIT许可证-有关详细信息，请参阅许可证文件
贡献
欢迎投稿！请随时提交拉取请求。
支持
- 问题：在GitHub Issues上报告错误和功能请求
- ZAI API文件: https://docs.z.ai
- MCP规范: https://modelcontextprotocol.io
致谢
- ZAI提供GLM-4.7-Flash API
- DuckDuckGo搜索API
- 规范的模型上下文协议团队