An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Opentelemetry Trace Latency Analyzer to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pinpoint exactly where your distributed traces are slowing down.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through OpenTelemetry Trace Analyzer.

  1. 01

    Analyze trace latency

    This capability runs high-level latency metrics across your trace spans.

  2. 02

    Get service distribution

    Use this to calculate how much latency is averaged per service or span name.

  3. 03

    Identify bottlenecks

    This capability finds specific spans that exceed a latency threshold you set.

Real work

What teams actually run

01

Microservices Debugging

Find which specific service in a long chain is causing a request to hang.

02

Performance Regression Testing

Compare trace durations to see if a new deployment increased latency.

03

SLA Monitoring

Identify spans that consistently exceed your required response time thresholds.

04

Resource Optimization

Locate high self-time spans that might need better code optimization.

One connector, every AI

OpenTelemetry Trace Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put OpenTelemetry Trace Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

725ms average. Fast in production.

OpenTelemetry Trace Analyzer is checked daily against the live service.

Daily averagePeak 933ms
Oct 3Today
Fastest day
522ms
Slowest day
933ms
14-day trend
Slowing+9%

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

Guided setup for Claude? Set up OpenTelemetry Trace Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work OpenTelemetry Trace Analyzer owners hand off.

This MCP is built for engineers managing complex distributed systems.

  • 01

    Site Reliability Engineers

    They hand off trace data to the AI to find the root cause of latency spikes.

  • 02

    Backend Developers

    They use it to check how their specific service changes affect trace duration.

  • 03

    DevOps Engineers

    They use the service distribution data to monitor microservices health.

FAQ

Questions OpenTelemetry Trace Analyzer owners ask.

  • 01

    What kind of trace data does this MCP support?

    It works with OpenTelemetry-style traces that include span IDs, parent IDs, service names, and start/end timestamps.

  • 02

    How do I find slow services in my trace?

    You can use the get_service_distribution capability to see how latency is spread across different service names.

  • 03

    Can I set custom latency thresholds?

    Yes, the identify_bottlenecks capability allows you to find spans that exceed a specific latency limit.

  • 04

    Does this MCP work with Claude?

    Yes, it works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 05

    What is self-time in these traces?

    Self-time is the duration of a span excluding the time spent in its child spans.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

More in Observability

Suggestions

Connect OpenTelemetry Trace Analyzer to Claude, Cursor, ChatGPT & more