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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use OpenTelemetry Trace Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze OpenTelemetry traces to identify latency bottlenecks and critical path inefficiencies.

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 · 3 capabilities

The complete OpenTelemetry Trace Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with OpenTelemetry Trace Analyzer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through OpenTelemetry Trace Analyzer.

  1. 01

    Analyze trace latency

    Analyze trace spans for latency metrics

  2. 02

    Get service distribution

    Calculate average latency per service/span name

  3. 03

    Identify bottlenecks

    Identify spans that exceed a latency threshold

Observed, not estimated

648ms average. Fast in production.

OpenTelemetry Trace Analyzer is checked daily against the live service.

Daily averagePeak 823ms
Aug 20Today
Fastest day
505ms
Slowest day
823ms
14-day trend
Slowing+21%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 OpenTelemetry Trace Analyzer, so you can see the experience inside your AI.

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

OpenTelemetry Trace Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/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 — OpenTelemetry Trace Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "opentelemetry-trace-latency-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/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

FAQ

Questions OpenTelemetry Trace Analyzer owners ask.

  • 01

    What kind of trace data does this capability support?

    It supports OpenTelemetry-style traces where each span includes a unique identifier, parent ID, service name, span name, and start/end timestamps.

  • 02

    How can I identify the slowest parts of my request?

    By using identify_bottlenecks, you can find spans that exceed a specific latency threshold within your trace data.

  • 03

    Can I see how much time each service contributes to the total trace?

    Yes, using get_service_distribution allows you to see an aggregation of average latency per service or span name.

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