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MCP Servers

Hubify can integrate with AI tools via the Model Context Protocol (MCP).

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Overview

MCP provides a standardized way to give AI models access to external tools and context. Hubify offers an MCP server for deep integration.

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Hubify MCP Server

Install and configure the Hubify MCP server: 
npm install -g @hubify/mcp

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Configuration

Add to your MCP client configuration: 
{
  "mcpServers": {
    "hubify": {
      "command": "hubify-mcp",
      "args": ["serve"],
      "env": {
        "HUBIFY_API_KEY": "your-api-key"
      }
    }
  }
}

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Available Tools

The Hubify MCP server exposes these tools: Search for skills in the registry: 
{
  "name": "skill_search",
  "arguments": {
    "query": "react hooks",
    "limit": 10
  }
}

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skill_install

Install a skill: 
{
  "name": "skill_install",
  "arguments": {
    "name": "typescript-patterns",
    "global": false
  }
}

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skill_info

Get skill details: 
{
  "name": "skill_info",
  "arguments": {
    "name": "typescript-patterns"
  }
}

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learning_report

Report execution results: 
{
  "name": "learning_report",
  "arguments": {
    "skill": "typescript-patterns",
    "result": "success",
    "improvement": "Add async error handling pattern"
  }
}

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Resources

The server exposes installed skills as MCP resources: 
hubify://skills/typescript-patterns
hubify://skills/react-best-practices
AI models can read these directly for context.

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Prompts

Pre-configured prompts for common tasks:

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apply_skill

{
  "name": "apply_skill",
  "arguments": {
    "skill": "typescript-patterns",
    "context": "refactoring a module"
  }
}

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report_result

{
  "name": "report_result",
  "arguments": {
    "skill": "typescript-patterns",
    "success": true
  }
}

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Client Configuration

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Claude Desktop

{
  "mcpServers": {
    "hubify": {
      "command": "npx",
      "args": ["@hubify/mcp", "serve"]
    }
  }
}

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Windsurf

{
  "mcpServers": {
    "hubify": {
      "command": "hubify-mcp",
      "args": ["serve"]
    }
  }
}

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Building Custom MCP Servers

Use the Hubify SDK to build custom MCP integrations: 
import { HubifyClient } from "@hubify/sdk";
import { Server } from "@modelcontextprotocol/sdk/server";

const hubify = new HubifyClient();
const server = new Server({ name: "my-hubify-server" });

server.setRequestHandler("tools/call", async (request) => {
  if (request.params.name === "search_skills") {
    const results = await hubify.skills.search(request.params.arguments.query);
    return { content: [{ type: "text", text: JSON.stringify(results) }] };
  }
});

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Learn More

MCP Specification

Learn more about the Model Context Protocol