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LLM Prompt Tracker

Track and compare prompt visibility and rankings across AI platforms (ChatGPT, Claude, Perplexity, Grok, Gemini)

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Overview

LLM Prompt Tracker is a production-ready Model Context Protocol (MCP) server built to give AI agents reliable, structured access to llm prompt tracker capabilities.

It acts as a standardized bridge between large language models and real-time data. Instead of relying on static training knowledge, models can retrieve live results, web content, and intelligence through a controlled MCP interface.

By integrating this MCP server, developers enable models such as Claude, GPT-4, Gemini, and open-source LLMs to:

• Execute structured LLM Prompt Tracker queries • Access live data in real time • Retrieve specialized information programmatically • Ground responses in verifiable external sources

This architecture significantly improves factual accuracy, reduces hallucination risk, and expands what AI systems can accomplish in research, automation, monitoring, and decision-support workflows.

LLM Prompt Tracker is designed for teams building production AI agents that require dependable, real-time access to the llm prompt tracker within a standardized MCP ecosystem.

Highlights

Protocol
MCP v1.0
Security
OAuth 2.0
Access
Real-time
Tools
2 Tools

Standardized bridge for real-time model context.

Installation

Connect this server to your local or remote agent environment.

mcp_config.json
{
  "mcpServers": {
    "mcp360": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://connect.mcp360.ai/v1/llm-prompt-tracker/mcp?token=YOUR_API_KEY"
      ]
    }
  }
}
Replace YOUR_API_KEY with your actual key from the dashboard.

Available Tools

Technical specifications for the 2 available protocol tools.

2 tools

Compare a single prompt across multiple AI platforms simultaneously (parallel execution for speed)

Input Specification
{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "type": "string",
      "maxLength": 1000,
      "minLength": 1,
      "description": "The search query to analyze across multiple AI platforms simultaneously"
    },
    "platforms": {
      "type": "array",
      "items": {
        "enum": [
          "perplexity",
          "chatgpt",
          "claude",
          "grok",
          "gemini"
        ],
        "type": "string"
      },
      "default": [
        "perplexity",
        "chatgpt",
        "claude",
        "grok",
        "gemini"
      ],
      "maxItems": 5,
      "minItems": 1,
      "description": "AI platforms to compare. Executes in parallel for speed. Default: all 5 platforms.",
      "uniqueItems": true
    },
    "targetUrl": {
      "type": "string",
      "format": "uri",
      "description": "Optional: Your website URL to track its visibility and ranking across all selected platforms"
    }
  }
}
Output Response
{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "The prompt that was tracked"
    },
    "results": {
      "type": "object",
      "description": "Platform-keyed results object",
      "additionalProperties": {
        "type": "object",
        "properties": {
          "metadata": {
            "type": "object"
          },
          "position": {
            "type": "number",
            "nullable": true
          },
          "responseQuality": {
            "type": "number",
            "nullable": true
          }
        }
      }
    },
    "analysis": {
      "type": "object",
      "properties": {
        "visibleOn": {
          "type": "number"
        },
        "bestPlatform": {
          "type": "string",
          "nullable": true
        },
        "averageQuality": {
          "type": "number",
          "nullable": true
        },
        "totalPlatforms": {
          "type": "number"
        },
        "visibilityRate": {
          "type": "string"
        },
        "averagePosition": {
          "type": "number",
          "nullable": true
        },
        "recommendations": {
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      }
    },
    "platforms": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "targetUrl": {
      "type": "string",
      "nullable": true
    },
    "timestamp": {
      "type": "string",
      "format": "date-time"
    }
  }
}

Direct API Access

Production-ready REST endpoints for custom integrations.

POSTServer Metadata
/api/v1/llm-prompt-tracker
curl "https://connect.mcp360.ai/api/v1/llm-prompt-tracker" \
  -H "Authorization: Bearer YOUR_API_KEY"
POSTExecute Tool
/api/v1/llm-prompt-tracker/{tool_name}
curl -X POST "https://connect.mcp360.ai/api/v1/llm-prompt-tracker/compare_prompt" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "string"
}'
Authentication

To authenticate, include your API key in the Authorization header using the Bearer scheme. Alternatively, you can use the X-API-KEY header.

Infrastructure

Unified MCP Gateway

One hub for 100+ production-ready tools with centralized management.

Unified API Key

Access 100+ MCP servers with a single authentication token.

Chat Playground

Test and debug any MCP server instantly in our interactive environment.

Centralized Billing

One monthly subscription for all your AI tool integrations and credits.

Scenarios

Standard Use Cases

Automated research and data gathering
Real-time monitoring and alerting systems
Content generation with current information
Competitive analysis and market intelligence
Decision support with live data feeds
API integration for AI applications

Frequently Asked Questions

What is LLM Prompt Tracker?

LLM Prompt Tracker is an MCP server that provides structured access to llm prompt tracker capabilities through a standardized protocol, enabling AI models to retrieve and process real-time data.

Which AI models are supported?

Any model that supports MCP protocol including Claude (via Claude Desktop), GPT-4, Gemini, and open-source LLMs through compatible frameworks.

How do I authenticate?

The server supports OAuth 2.0 authentication with API keys. You'll receive credentials upon registration which can be configured in your MCP client.

Is there rate limiting?

Yes, rate limits apply based on your subscription tier. Free tier includes generous limits for development, with higher limits available in paid plans.

Can I use this in production?

Absolutely. LLM Prompt Tracker is designed for production use with enterprise-grade reliability, security, and performance.

Deploy AI agent with LLM Prompt Tracker today.

Start building production-ready AI agent integrations in minutes with standardized protocol access.

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Enterprise Ready
Secure OAuth
24/7 Support