@shaswata56
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"basic-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A modular server implementing the Model Context Protocol for AI services, supporting multiple transport options (stdio, TCP, WebSocket) and dynamic AI service selection (Claude, OpenAI, mock). It is built with SOLID principles for maintainability and extensibility, and is intended for developers building AI-powered tools and applications.
Install by cloning the repository, creating a virtual environment, and running pip install -e .. Configure API keys in the .env file (or via command‑line flags). Run with python mcp_server.py for stdio mode, add --tcp for TCP mode, or --websocket for WebSocket mode. Example clients are provided in the examples/ directory.
The server supports Claude, OpenAI, and a mock service. You can set a default via the `AI_SERVICE_TYPE` environment variable or override it per request by passing the `service_name` argument (e.g., `"claude"`, `"openai"`, `"mock"`) in the `ai/message` tool call.
API keys can be provided in the `.env` file (using `ANTHROPIC_API_KEY` and `OPENAI_API_KEY`), passed as command‑line arguments (`--claude-api-key`, `--openai-api-key`), or stored in a JSON secrets file pointed to by the `SECRETS_FILE` environment variable.
Three transports are available: stdio (default), TCP (`--tcp`), and WebSocket (`--websocket`). For TCP/WebSocket you can optionally set the host, port, and WebSocket path. Use environment variables or command‑line flags to configure them.
Yes. Set the `MCP_WS_ORIGINS` environment variable to a comma‑separated list of allowed origins. By default all origins are permitted.
The server requires Python and the packages listed in the project’s `setup.py` or `requirements.txt`. API keys for Claude or OpenAI are needed for production use; the mock service works without any external API.
Model Context Protocol Servers
Open-source MCP to use Blender with any LLM
Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40
A search tool helps dev to solve the naming things problem.
A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi
评论