What are the prerequisites?
Python 3.8+, pip package manager, and an OpenAI API key.
@HanShan006
Basic information
手搓MCP样例,使用SSE模式,访问本地数据。从Hosts到server全部代码演示。
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP_Host_Client_Server_SSE": {
"command": "python",
"args": [
"create_database.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Host Client Server SSE is a natural language SQL database query system built on the Model Context Protocol (MCP). It integrates with OpenAI to convert natural language questions into SQL queries, using Server-Sent Events (SSE) for real-time communication between the host and server.
openai, mcp-framework, starlette, uvicorn).config.ini file with your OpenAI API key.python create_database.py.python mcp_server.py.python mcp_host.py.Python 3.8+, pip package manager, and an OpenAI API key.
Create a `config.ini` file in the project root and add `[secrets] API_KEY=your_api_key_here`.
SQLite. Sample tables `users` and `orders` are created by `create_database.py`.
The system integrates both OpenAI and DeepSeek APIs for natural language processing.
Server-Sent Events (SSE) for real‑time streaming of query results from the MCP server to the host.
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