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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Content Metrics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know exactly how much content your agents are generating.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Content Metrics capability set.

These are the exact actions your AI can choose when you ask it to work with AI Content Metrics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Content Metrics.

  1. 01

    Get user content summary

    Provides a high-level overview of how much content a specific user is generating

  2. 02

    Measure generation velocity

    Analyzes the speed of content production, factoring in the efficiency of the AI

  3. 03

    Calculate monthly throughput

    Determines the average volume of content produced per user within a monthly window

  4. 04

    Evaluate utilization and quality

    Measures the practical value of the AI output by comparing generation to final usage and quality metrics

Observed, not estimated

847ms average. Fast in production.

AI Content Metrics is checked daily against the live service.

Daily averagePeak 965ms
Aug 28Today
Fastest day
768ms
Slowest day
965ms
14-day trend
Slowing+20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Content Metrics, so you can see the experience inside your AI.

It does not authenticate your account with AI Content Metrics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Content Metrics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_xKPfoLtRGDYmqwLSTYFRRqIrDbwUz0TtSoRymM48/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI Content Metrics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-content-generation-metrics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xKPfoLtRGDYmqwLSTYFRRqIrDbwUz0TtSoRymM48/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Who it's for

Built for the work AI Content Metrics owners hand off.

Content Managers, Product Owners, and Marketing Analysts use this MCP to move beyond simply generating content. They use it to prove the ROI of their AI capabilities and optimize their content pipelines. If you need to know if your AI content is effective, this is for you.

  • 01

    Content Manager

    Needs to track total content volume and identify which users are over- or under-producing.

  • 02

    Product Owner

    Uses the metrics to assess the efficiency and quality of the AI output for product documentation.

  • 03

    Marketing Analyst

    Requires monthly throughput data to report on overall marketing content performance.

FAQ

Questions AI Content Metrics owners ask.

  • 01

    Does this MCP track content quality?

    Yes. The evaluate_utilization_and_quality capability measures the practical value of the AI output by comparing generation volume to usage and quality metrics.

  • 02

    Can I see data for multiple users?

    You can get a high-level overview of content generation for specific users using the get_user_content_summary capability. You'll need to run the query for each user or specify a list if the capability supports it.

  • 03

    What kind of data does 'throughput' measure?

    Throughput measures the average volume of content produced per user within a specific monthly window, giving you a standardized measure of output.

  • 04

    Is this for tracking AI usage across different platforms?

    It provides deep analytical insights into content production workflows, allowing you to monitor volume and speed regardless of the source platform.

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