OpenTelemetry Trace Analyzer Connector for AI agents.
3 live capabilities
Find and fix performance bottlenecks in your distributed microservices.
Waiting for input…
Why people use OpenTelemetry Trace Analyzer
OpenTelemetry Trace Latency Analyzer for Bottleneck Detection
This Connector puts that logic into your AI client. You just drop the trace data in, and it handles the math. It tells you the critical path, the self-time, and the exact service distribution in one go.
What Vinkius changes
You get a surgical breakdown of where your request time is actually going.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
A slow checkout flow
An engineer sees a 5s checkout.
- Real-world use case 02
Cost optimization
A lead wants to see where to scale.
- Real-world use case 03
Debug a ghost lag
A dev thinks a service is slow, but it's just waiting on a slow downstream API.
Complete set · 3capabilities
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.
01—03
3 capabilities in this set.
Part of 3 available through OpenTelemetry Trace Analyzer.
- 01 Capability
Analyze trace latency
Breaks down the trace to show high-level metrics like total duration and span counts. It gives you a bird's-eye view of the request flow.
- 02 Capability
Identify bottlenecks
Flags specific spans that exceed a time threshold you set. This points you directly at the noisy neighbors or slow queries.
- 03 Capability
Get service distribution
Calculates the average latency for every service or span name in your trace. It helps you see which part of your stack is the heaviest.
Set up in minutes
One URL. Then ask OpenTelemetry Trace Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use OpenTelemetry Trace Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it OpenTelemetry Trace Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable OpenTelemetry Trace Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the OpenTelemetry Trace Analyzer URL.
- Step 03
Save and start
Save the connection and enable OpenTelemetry Trace Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"opentelemetry-trace-latency-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using OpenTelemetry Trace Analyzer
Open Agent mode in chat and ask: "Using OpenTelemetry Trace Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"opentelemetry-trace-latency-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using OpenTelemetry Trace Analyzer
Ask Copilot: "Using OpenTelemetry Trace Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"opentelemetry-trace-latency-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using OpenTelemetry Trace Analyzer
Open Cascade and ask: "Using OpenTelemetry Trace Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"opentelemetry-trace-latency-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using OpenTelemetry Trace Analyzer
Ask Cline: "Using OpenTelemetry Trace Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add opentelemetry-trace-latency-analyzer --transport http "https://edge.vinkius.com/vk_preview_agOS3XqPfYKQCHw4us6xxbEWEsZ0GDWuybsYlRLe/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using OpenTelemetry Trace Analyzer
Ask Claude: "Using OpenTelemetry Trace Analyzer, show me...". 3 tools are ready
Where the request belongs
Work OpenTelemetry Trace Analyzer can move forward.
This is for the engineers who live in the weeds of distributed systems. It's for the people who need to prove exactly where a bottleneck is located without spending hours manually calculating spans.
SRE
The person getting paged at 3 AM because a core API is lagging and needs to find the culprit fast.
Backend Developer
The engineer trying to optimize a complex microservice chain and needing to see where the time is actually spent.
Performance Engineer
The specialist tasked with shaving milliseconds off a global request by identifying the heaviest spans.
DevOps Engineer
The person managing high-traffic infrastructure who needs to justify scaling needs with hard latency data.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Langfuse Trace URL Extractor
Extract trace IDs and construct observability URLs from Langfuse payloads.
OpenTelemetry Trace Context Extractor
Extracts W3C TraceContext fields from HTTP headers.
Resource Usage Leak Detector
Monitor agent resource consumption to detect file descriptor or connection leaks.
OpenTelemetry TraceContext Validator
Validates W3C TraceContext and OpenTelemetry headers for distributed agent tracing.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Honeycomb
Automate observability via Honeycomb. manage datasets, queries, and markers directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep OpenTelemetry Trace Analyzer connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about OpenTelemetry Trace Analyzer.
The practical details behind the request, access and result.
Can the OpenTelemetry Trace Latency Analyzer help with microservices?
Yes, it is specifically designed for distributed traces. It helps you see how requests move between different services and where the time is being lost.
How do I find the slowest part of a trace using this Connector?
The Connector automatically identifies bottlenecks by looking for spans that exceed your time limits and highlighting the longest chains of dependencies.
Does it show how much time a service spends on its own work?
Yes, it calculates per-span self-time. This allows you to see if a service is actually slow or just waiting for a downstream response.
Can it help me find out why my API is slow?
Absolutely. By analyzing the trace spans, it identifies the critical path and provides a distribution of latency across your entire architecture.
What kind of data does the OpenTelemetry Trace Latency Analyzer need?
It requires OpenTelemetry-style trace data, specifically spans that include start and end timestamps along with parent-child IDs.
Does it work with multiple services at once?
Yes, it can analyze traces involving dozens of different services and give you a percentage-based breakdown of where the time is going.
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.
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.
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.
One connection away
Give your agent a direct line to OpenTelemetry Trace Analyzer.
Connect OpenTelemetry Trace Analyzer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available