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deephaven/deephaven-mcp

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Repository Install

Deephaven Model Context Protocol

概览

Command names, flags, and output shapes can change without notice, so an upgrade may break scripts written against them — pin a version if you need stability. AI agents need no such care: dhcli describes itself at runtime through dhcli agents tree and --agents, so an agent that reads that manifest adapts to the changes on its own. Deephaven MCP brings the power of live dataframes directly to your favorite AI tools — Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf, and more. Working with real-time data usually means giving up the simple, interactive workflow you get with static tables. Deephaven's live dataframes remove that trade-off: write queries as if your data were static and they keep updating automatically as new data streams in, all through natural language.

README

以下为原文 README 节选，完整内容请查看原文。

deephaven-mcp

The dhcli command-line tool is under rapid development. Command names, flags, and output shapes can change without notice, so an upgrade may break scripts written against them — pin a version if you need stability. AI agents need no such care: dhcli describes itself at runtime through dhcli agents tree and --agents, so an agent that reads that manifest adapts to the changes on its own.

Table of Contents

Overview

Supercharge your AI workflows with real-time data. Deephaven MCP brings the power of live dataframes directly to your favorite AI tools — Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf, and more.

Why Deephaven MCP?

Working with real-time data usually means giving up the simple, interactive workflow you get with static tables. Deephaven’s live dataframes remove that trade-off: write queries as if your data were static and they keep updating automatically as new data streams in, all through natural language.

What makes this different:

  • Live Data, Live Results: Query streaming Kafka, real-time feeds, and batch data as easily as static CSV files
  • AI-Native Integration: Your AI assistant understands your data pipeline and can help optimize, debug, and extend it
  • Enterprise Ready: Battle-tested on Wall Street for over a decade, now available for your team
  • Zero Learning Curve: Write queries as if working with static tables — real-time updates happen automatically

Deephaven MCP implements the Model Context Protocol (MCP)

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "deephaven-systems": { "command": "dh-mcp-systems-server", "args": ["--transport", "stdio"] }, "deephaven-docs": { "command": "mcp-proxy", "args": [ "--transport=streamablehttp", "https://deephaven-mcp-docs-prod.dhc-demo.deephaven.io/mcp" ] } } }