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Documentation Index

Fetch the complete documentation index at: https://hubify.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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MCP Server

Hubify Labs includes a Model Context Protocol (MCP) server that exposes your lab’s data and capabilities to AI coding assistants like Claude Code, Cursor, and other MCP-compatible tools.

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What It Does

The MCP server lets AI assistants:
  • Read lab status, experiment results, agent activity, and knowledge base entries
  • Execute experiments, create tasks, trigger reviews, and manage pods
  • Access structured prompts for research workflows
Instead of copy-pasting data between your lab and your coding environment, the MCP server provides direct, structured access.

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Architecture

┌──────────────────┐    MCP Protocol    ┌──────────────────┐
│  Claude Code     │◄──────────────────►│  Hubify MCP      │
│  Cursor          │    (stdio/SSE)     │  Server           │
│  Other MCP Host  │                    │                   │
└──────────────────┘                    └────────┬──────────┘
                                                 │
                                        ┌────────▼──────────┐
                                        │  Hubify Labs API  │
                                        │  www.hubify.com/api/v1   │
                                        └───────────────────┘
The MCP server runs locally and communicates with the Hubify API on your behalf. It translates MCP tool calls and resource reads into API requests.

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Capabilities

MCP FeatureHubify Implementation
Tools48 tools for experiments, agents, tasks, pods, papers, knowledge
Resourceslab://status, lab://experiments, lab://papers
PromptsPre-built prompts for research assistant, paper review, experiment design

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Quick Start

# Install the CLI (includes the MCP server — requires 2.0.0+)
npm install -g hubify-labs

# Check the server starts and resolves your lab
hubify mcp --health
Then add the server to your MCP host configuration. See Setup for detailed instructions.

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When to Use

Use the MCP server when you want your AI assistant to:
  • Query experiment results without leaving your editor
  • Create and monitor experiments from within Claude Code
  • Search the knowledge base during paper writing
  • Check pod status and cost while debugging on a pod
  • Trigger standups and reviews from your development environment

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Next Steps

Setup

Install and configure the MCP server

Tools

Browse available MCP tools

Resources

Browse available MCP resources

Prompts

Browse pre-built research prompts