ParamQuery Pro MCP Server for AI-Powered Development

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ParamQuery Pro MCP Server

We’re excited to announce the official launch of the ParamQuery Pro Model Context Protocol (MCP) Server.

It gives AI coding assistants direct access to ParamQuery documentation, demos, API references, and examples — allowing them to generate and debug grids accurately without hallucinations.

Endpoint

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https://paramquery.com/mcp


Why Use It?

• Accurate Code Generation – AI retrieves real ParamQuery examples, options, and API references.
  
• No More Hallucinated APIs – Agents use the official documentation directly.
  
• Faster Grid Development – Generate configs, demos, and integrations quickly.
  
• Smarter Debugging – AI can analyze your grid options and suggest correct fixes.
  

Available Tools

• query_resource_index 
  Search the unified ParamQuery resource index (Guides, Demos, Options, Methods, Events) using natural language queries like 
  "remote filtering example" or "install via npm". 
  Returns resource IDs and metadata.
  
  
• get_resource_content 
  Retrieve full technical content for a resource. 
  Supports demos, guides, API docs, and large example code blocks.
  

Availability

Available to all licensed ParamQuery Pro users.


Quick Setup

1. Generate Your Token

• Log in to the Forum.
• Open your User Profile.
  
• Click MCP Token to generate your Personal Access Token.
  

2. Configure Your MCP Client

Example configuration:

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{
  "mcpServers": {
    "paramquery": {
      "url": "https://paramquery.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_TOKEN"
      }
    }
  }
}

3. Use It With Your AI Editor

Works with most MCP-enabled AI tools including:

• Cursor
• Claude Code
• VS Code (MCP extensions)
• Cline
• Continue
• Windsurf
• Codex CLI
• Gemini CLI
• LibreChat
• MCP Inspector

The ParamQuery MCP Server turns your AI assistant into a developer that understands the ParamQuery API, demos, and best practices — instantly.