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Update README.md
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@ -80,12 +80,13 @@ source venv/bin/activate # Windows 系统: venv\Scripts\activate
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python -m mcp_open_client.main
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python -m mcp_open_client.main
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```
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```
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应用将启动并显示访问 URL(通常为 `http://localhost:8080`)。
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应用将启动并显示访问 URL(通常为 `http://localhost:8091`)。
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### 2. 配置 API 设置
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### 2. 配置 API 设置
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在浏览器中打开显示的 URL,进入 **配置 → API 设置**:
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进入 mcp-open-client/mcp_open_client/settings/ 目录:
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cp user-settings.json.example user-settings.json
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编辑user-settings.json,如下,修改api_key为你的deepseek api key
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```json
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```json
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{
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{
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"api_key": "your-api-key-here",
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"api_key": "your-api-key-here",
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@ -105,12 +106,32 @@ python -m mcp_open_client.main
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- **LM Studio**: `http://localhost:1234/v1`
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- **LM Studio**: `http://localhost:1234/v1`
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### 3. 设置 MCP 服务器(可选)
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### 3. 设置 MCP 服务器(可选)
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进入 mcp-open-client/mcp_open_client/settings/ 目录:
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进入 **配置 → MCP 服务器** 添加外部工具:
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cp mcp-config.json.example mcp-config.json
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编辑mcp-config.json
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增加一个段
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"hexstrike-ai": {
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"disabled": false,
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"command": "python3",
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"args": [
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"PATH/hexstrike_mcp.py",
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"--server",
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"http://IP:PORT"
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]
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},
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```json
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```json
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{
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{
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"mcpServers": {
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"mcpServers": {
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"hexstrike-ai": {
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"disabled": false,
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"command": "python3",
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"args": [
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"PATH/hexstrike_mcp.py",
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"--server",
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"http://IP:PORT"
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]
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},
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"filesystem": {
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"filesystem": {
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"command": "npx",
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/workspace"]
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"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/workspace"]
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