What dependencies are required?
Python 3.7+, dmPython (Dameng database driver), mcp, pydantic, openai, and dotenv. Install them via `pip install -r requirements.txt`.
@1092705638
Basic information
dameng-mcp-server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dameng-mcp-server": {
"command": "python",
"args": [
"-m",
"dameng.server"
]
}
}
}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.
dameng-mcp-server is an MCP (Model Context Protocol) server for Dameng 8 (达梦8) databases. It enables clients to execute SQL queries, list database tables as resources, and read table contents. The server is aimed at developers and applications that need programmatic access to Dameng 8 via the MCP protocol.
Clone the repository, install dependencies with pip install -r requirements.txt, configure database and OpenAI API credentials in a .env file (variables: DAMENG_USER, DAMENG_PASSWORD, DAMENG_HOST, DAMENG_DATABASE, DASHSCOPE_API_KEY, BASE_URL, MODEL), then start the server with python -m dameng.server and the client with python -m dameng.client. SQL queries are sent through the client, for example: execute_sql {"query": "SELECT * FROM TABLE_NAME LIMIT 10"}.
.env file)Python 3.7+, dmPython (Dameng database driver), mcp, pydantic, openai, and dotenv. Install them via `pip install -r requirements.txt`.
Create a `.env` file in the project root with variables `DAMENG_USER`, `DAMENG_PASSWORD`, `DAMENG_HOST`, and `DAMENG_DATABASE`. Make sure the Dameng 8 database service is running and accessible.
Run `python -m dameng.server` to start the MCP server, and `python -m dameng.client` in a separate terminal to run the client that sends queries.
It supports executing arbitrary SQL statements (via `execute_sql`), listing all tables as resources, and reading the contents of a table.
You must have the dmPython driver installed and the Dameng 8 database service running. Environment variables must be set correctly. The client also requires an OpenAI API key and base URL to function.

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