Unified Python package providing Model Context Protocol (MCP) servers for Deephaven: orchestrate Community Core data workers and power Documentation Q&A with LLMs. Supports AI-driven data workflows and agentic documentation assistance in a single deployable package.
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# deephaven-mcp [](https://pypi.org/project/deephaven-mcp/) [](https://github.com/deephaven/deephaven-mcp/blob/main/LICENSE) [](https://github.com/deephaven/deephaven-mcp/actions/workflows/unit-tests.yml) > **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](#overview) - [Key Use Cases](#key-use-cases) - [Quick Start](#quick-start) - [Install Deephaven MCP](#install-deephaven-mcp) - [Community Core Quick Start](#community-core-quick-start) - [Enterprise Quick Start](#enterprise-quick-start) - [Quick Upgrade](#quick-upgrade) - [Deephaven MCP Components](#deephaven-mcp-components) - [Available MCP Tools](#available-mcp-tools) - [Architecture Diagrams](#architecture-diagrams) - [Prerequisites](#prerequisites) - [Installation & Initial Setup](#installation--initial-setup) - [Configuration](#configuration) - [AI Tool Setup](#ai-tool-setup) - [Troubleshooting](#troubleshooting) - [Contributing](#contributing) - [Community & Support](#community--support) - [License](#license) --- ## Overview **Supercharge your AI workflows with real-time data.** Deephaven MCP brings the power of [live dataframes](https://deephaven.io) directly to your favorite AI tools — [Claude Desktop](https://claude.ai/download), [Cursor](https://www.cursor.com/), [VS Code (GitHub Copilot)](https://code.visualstudio.com/docs/copilot/overview), [Windsurf](https://…
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