About tradercjz/dolphindb-mcp-server
tradercjz/dolphindb-mcp-server is an MCP server published by tradercjz in the Data category: dolphindb-mcp-server.
The repository has 7 stars and 7 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/tradercjz/dolphindb-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository yesterday. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
🧱 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
-
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。
-
启动服务
dolphindb-mcp-server该命令会启动 MCP 插件服务，供外部调用。
-
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。
README fetched from the repository yesterday. The original is authoritative.