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Hex MCP Server

MCP Server

Control Hex projects via the MCP protocol

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Updated Sep 9, 2025

About

The Hex MCP Server exposes a set of tools to list, search, run, and manage Hex projects through the MCP protocol. It enables AI agents or CLI tools to interact with Hex programmatically, streamlining project orchestration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Hex MCP Server – Bridging AI Assistants and Hex Analytics

The Hex MCP server is a lightweight, protocol‑compliant bridge that lets AI assistants such as Claude or Cursor interact directly with the Hex analytics platform. By exposing a set of well‑defined tools, it removes the need for developers to write custom API wrappers or manage authentication flows when integrating Hex into conversational workflows. This server essentially turns every Hex operation—project discovery, execution, monitoring, and history retrieval—into a first‑class tool that an AI can call with natural language commands.

Solving the Integration Gap

Hex is a powerful data‑analysis environment, but its REST API requires explicit authentication and careful request construction. For developers building AI‑powered assistants that need to query or trigger data pipelines, this overhead can become a bottleneck. Hex MCP abstracts those details away: the server handles token storage, request signing, and error translation, presenting a clean, declarative interface to the AI client. This allows teams to focus on building higher‑level logic rather than plumbing concerns.

Core Capabilities

  • Project Discovery and let the assistant enumerate or filter projects by name pattern, enabling quick context building.
  • Project Inspection retrieves metadata such as parameters, outputs, and configuration, which the AI can use to explain a project’s purpose.
  • Execution Control launches a run, while stops an in‑progress execution. These tools give the assistant direct command over data pipelines.
  • Monitoring and History reports on a run’s progress, and returns the full audit trail, allowing the AI to provide status updates or analyze past outcomes.

Each tool is intentionally simple: it accepts a JSON payload with the required identifiers and returns structured data, making it trivial for an AI to map natural‑language questions (“What’s the status of my sales report run?”) to the appropriate tool call.

Real‑World Use Cases

  • Data‑Driven Decision Support – An AI analyst can ask for the latest sales trend analysis, trigger a fresh run of the relevant Hex project, and receive results—all without leaving the chat interface.
  • Automated Reporting Pipelines – Scheduled agents can monitor run completions, notify stakeholders when a project finishes, or re‑run failed analyses automatically.
  • Interactive Exploration – Developers can explore the Hex workspace by querying project lists, inspecting configurations, and launching ad‑hoc runs from within a conversational UI.

Seamless Workflow Integration

The server is designed to work out of the box with Cursor, a popular AI‑assistant framework. By configuring a single entry, developers can expose Hex tools to any Cursor agent. The MCP server’s configuration mechanism (CLI or environment variables) keeps credentials secure and reusable across sessions, while the protocol guarantees that tool calls are stateless and idempotent from the AI’s perspective.

Distinctive Advantages

  • Protocol‑First Design – Adhering strictly to MCP ensures compatibility with any future AI client that implements the spec, reducing vendor lock‑in.
  • Minimal Footprint – The server is a thin wrapper around the Hex API, so it adds negligible latency and complexity.
  • Extensibility – New tools can be added to the server’s registry without changing the client side, allowing rapid iteration as Hex evolves.

In summary, Hex MCP transforms a complex analytics platform into an AI‑friendly service. By providing declarative, authenticated access to project discovery, execution, and monitoring, it empowers developers to build intelligent assistants that can orchestrate data workflows, deliver insights on demand, and automate reporting—all within a single conversational interface.