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Connect Opentelemetry Trace Context Extractor 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. Fix broken traces by parsing W3C headers instantly.

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

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through OpenTelemetry.

  1. 01

    Extract trace context

    This capability extracts W3C TraceContext fields from a provided header. It returns the trace ID, parent ID, and trace flags after validating the format.

Real work

What teams actually run

01

Debugging Distributed Traces

Use the capability when a trace disappears between two service hops to see if the header was valid.

02

Header Validation

Check if incoming HTTP headers follow the W3C standard before processing them.

03

Observability Automation

Let your AI agent parse complex traceparent strings to summarize request flows.

04

Trace ID Verification

Confirm that a trace ID is a legitimate 32-character hex value.

One connector, every AI

OpenTelemetry 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 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

650ms average. Fast in production.

OpenTelemetry is checked daily against the live service.

Daily averagePeak 871ms
Oct 3Today
Fastest day
541ms
Slowest day
871ms
14-day trend
Slowing+11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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, so you can see the experience inside your AI.

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

OpenTelemetry Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_dAVsjHLD9WdoxwkV4ZZidFSuQqmK24xnvHrcysll/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 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "opentelemetry-trace-context-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dAVsjHLD9WdoxwkV4ZZidFSuQqmK24xnvHrcysll/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 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work OpenTelemetry owners hand off.

This MCP is built for engineers managing distributed systems and observability pipelines.

  • 01

    Observability Engineer

    They hand off raw HTTP headers to the AI to debug broken trace spans.

  • 02

    Backend Developer

    They use the capability to validate trace context during distributed request debugging.

  • 03

    SRE

    They rely on precise trace parsing to identify where traces are dropping in a service mesh.

FAQ

Questions OpenTelemetry owners ask.

  • 01

    What does this MCP actually do?

    It extracts specific fields like trace ID and flags from W3C TraceContext HTTP headers.

  • 02

    How does it validate the trace ID?

    It uses strict regex to ensure the ID is a valid 32-character hex string and not all zeros.

  • 03

    Which AI clients can use this?

    Any MCP-compatible client including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Does it support W3C standards?

    Yes, it is specifically designed to parse W3C TraceContext fields.

  • 05

    Is the parsing deterministic?

    Yes, it uses V8 string splitting and regex to ensure consistent, predictable results.

  • 06

    What does this capability extract?

    It extracts the trace ID, parent ID, and trace flags from a W3C TraceContext traceparent_header.

  • 07

    How does it validate the header?

    It uses a strict RegExp pattern (version-traceid-parentid-flags) and verifies that the trace ID is 32 hex characters and not all zeros.

  • 08

    Is it compatible with standard W3C headers?

    Yes, it is specifically designed to parse the traceparent header following the W3C TraceContext specification.

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