Treblle Connector for AI agents.
1 live capability
See real-time API traffic and performance metrics from your agent.
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Why people use Treblle
Treblle API Observability for Backend Developers
With this Connector, your agent sends that data directly to Treblle. You get a clean dashboard where you can see the request, the response, and the performance metrics all in one spot. It's the difference between hunting for a needle in a haystack and having the needle handed to you.
What Vinkius changes
You get instant visibility into your API traffic without manual logging.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed auth flow
An agent hits an endpoint, fails, and the dev uses the Connector to see the exact 401 error payload in the dashboard.
- Real-world use case 02
Monitoring high-traffic spikes
A DevOps engineer watches real-time performance metrics as the agent handles a heavy load test.
- Real-world use case 03
QA Testing
A QA engineer captures every request during a test run to report bugs with full context and payloads.
Complete set · 1capability
The complete Treblle capability set.
These are the exact actions your AI can choose when you ask it to work with Treblle.
01
1 capability in this set.
Part of 1 available through Treblle.
- 01 Capability
Ingest api data
Send full request and response payloads to Treblle. This lets you see every detail of your traffic in a dashboard while keeping sensitive data masked.
Set up in minutes
One URL. Then ask Treblle to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Treblle 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_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Treblle for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle URL.
- Step 03
Save and start
Save the connection and enable Treblle in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"treblle": {
"url": "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle
Open Agent mode in chat and ask: "Using Treblle, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"treblle": {
"url": "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle
Ask Copilot: "Using Treblle, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"treblle": {
"url": "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle
Open Cascade and ask: "Using Treblle, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"treblle": {
"url": "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle
Ask Cline: "Using Treblle, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add treblle --transport http "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/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 Treblle
Ask Claude: "Using Treblle, show me...". 1 tools are ready
Where the request belongs
Work Treblle can move forward.
This is for the engineer who's tired of manual logs and wants to see exactly how an AI agent is interacting with their backend in real-time.
Backend Developer
Debugging API interactions and updating documentation during a sprint.
DevOps Engineer
Monitoring traffic patterns and health from a terminal or dashboard.
QA Engineer
Capturing full request context during automated testing phases.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMoesif
Monitor and analyze API traffic with Moesif. log events, track user/company profiles, and query API analytics directly from your AI agent.
Postman
Design, test, and document APIs collaboratively with the world most popular API development platform used by millions of developers.
AppDynamics (Application Performance Monitor API)
Monitor application performance, business transactions, and infrastructure health rules directly from your AI agent.
Levo.ai (API Security & Observability)
Secure your APIs via Levo.ai. audit endpoints, monitor sensitive data (PII/PHI), and manage OWASP vulnerabilities.
Datadog
Monitor applications via Datadog. query performance metrics, search logs, and list active monitors directly from any AI agent.
Beeceptor
Mock APIs, intercept requests, and manage proxy rules directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Treblle connected.
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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 Treblle.
The practical details behind the request, access and result.
How does Treblle help me monitor my API traffic?
Treblle gives you a central dashboard to see every request and response your agent makes. It captures the full payload and performance data so you can see exactly what's happening.
Can Treblle mask sensitive data like passwords?
Yes, the Connector automatically masks sensitive fields like passwords, credit card numbers, and SSNs before the data is sent to your dashboard.
How do I see the performance metrics of my API calls?
Once you send your data to Treblle, you can view real-time performance metrics and response times directly in your dashboard.
Can I use Treblle to update my API documentation?
Yes, by automatically capturing real-world interactions, Treblle helps ensure your API documentation stays accurate and reflects actual traffic.
How does Treblle help with debugging AI agent errors?
It provides the full context of a failure by sending the exact request and response payloads to your dashboard, making it much easier to spot the root cause.
Can I filter my Treblle logs by custom IDs?
You can attach custom metadata like trace IDs or user IDs to your data. This allows you to filter through your logs to find specific interactions quickly.
How do I send API traffic data to my Treblle dashboard?
Use the ingest_api_data capability. You need to provide the JSON payload containing the server, request, and response information as defined in the Treblle schema.
Is my sensitive data like passwords or credit cards safe when ingesting?
Yes. Treblle automatically masks sensitive fields (passwords, CCs, SSNs) before the data is transmitted and stored, ensuring compliance and security.
Can I add custom identifiers like a trace-id to the ingested data?
Absolutely. You can use the optional metadata parameter in the ingest_api_data capability to include flat key-value pairs like trace-id, user-id, or env-id.
One connection away
Give your agent a direct line to Treblle.
Connect Treblle once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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