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tradercjz/dolphindb-mcp-server

by Various

dolphindb-mcp-server

T

MCP

tradercjz/dolphindb-mcp-server

Added 1 June 2026

Overview

A Model Context Protocol server that connects AI agents to DolphinDB for executing SQL queries and retrieving data. It enables agents to interact with DolphinDB databases through a standardized interface.

Best for

Best for
Developers building AI agents that need to query DolphinDB time-series databases

Use cases

  • Querying time-series data from DolphinDB for analysis
  • Automating database operations via AI agent workflows
  • Integrating DolphinDB with MCP-compatible AI assistants

How to use

Install

pip install dolphindb-mcp-server

Tools exposed

  • pip
  • uvx
  • git
  • python

Example client config

DDB_HOST=127.0.0.1\nDDB_PORT=8848\nDDB_USER=admin\nDDB_PASSWD=123456

Notes

A Model Context Protocol server that connects AI agents to DolphinDB for executing SQL queries and retrieving data. It enables agents to interact with DolphinDB databases through a standardized interface.

6 stars on GitHub. Last updated 2026-03-20.

Use cases

  • Querying time-series data from DolphinDB for analysis
  • Automating database operations via AI agent workflows
  • Integrating DolphinDB with MCP-compatible AI assistants

Pros

  • Provides a direct MCP bridge to DolphinDB for AI agents
  • Written in Python, easy to extend or modify
  • Lightweight and focused on a single database integration

Cons

  • Very early stage with only 6 GitHub stars and limited community
  • No documentation beyond the repository description
  • Requires existing DolphinDB setup and knowledge

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a direct MCP bridge to DolphinDB for AI agents
  • Written in Python, easy to extend or modify
  • Lightweight and focused on a single database integration

Cons

  • Very early stage with only 6 GitHub stars and limited community
  • No documentation beyond the repository description
  • Requires existing DolphinDB setup and knowledge
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