Dolphindb MCP Server

Community Data and databases

DolphinDB database integration with schema inspection and query capabilities.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

🧱 安装方式

✅ 方法一:使用 uvx(推荐)

通过 uvx 安装并运行:

uvx install dolphindb-mcp-server

安装完成后,直接运行:

uvx dolphindb-mcp-server

📌 注意:uvx 安装方式需要通过 uv.pack 构建并上传到 Universe。如果你尚未上传,请参考 uv 文档进行打包与发布。

✅ 方法二:从 PyPI 安装
pip install dolphindb-mcp-server

安装后运行:

dolphindb-mcp-server
✅ 方法三:本地构建 & 安装
git clone https://github.com/your-org/dolphindb-mcp-server.git
cd dolphindb-mcp-server

# 创建并激活虚拟环境
python -m venv .venv
source .venv/bin/activate

# 构建并安装
pip install build
python -m build
pip install dist/*.whl

安装后运行:

dolphindb-mcp-server

🧪 测试运行

运行后你可以直接使用工具,例如:

dolphindb-mcp-server

或(如果是 uvx 安装):

uvx dolphindb-mcp-server

好的,这是转换后的 Markdown 版本:

好的,这是转换后的 Markdown 版本:


🚀 使用方法

  1. 配置环境变量(可选)

    你可以通过 .env 文件或系统环境变量配置 DolphinDB 的连接信息:

      DDB_HOST=127.0.0.1
      DDB_PORT=8848
      DDB_USER=admin
      DDB_PASSWD=123456

    也可以不设置,系统将使用默认值。

  2. 启动服务

      dolphindb-mcp-server

    该命令会启动 MCP 插件服务,供外部调用。

  3. FastMCP Agent 使用示例

    启动后,你的工具将通过 FastMCP 对外暴露以下函数接口:

    • list_dbs()
    • list_tbs(dbName: str)
    • query_table_diskusage(database: str, tableName: str)
    • query_dolphindb(script: str)

    可通过 MCP 前端界面或对接 LLM 工具链来进行访问。

Frequently asked questions

What is Dolphindb MCP Server?

DolphinDB database integration with schema inspection and query capabilities.

How do I install Dolphindb MCP Server?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Dolphindb MCP Server open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Dolphindb MCP Server?

It is published by tradercjz. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.