Highlight (Session Replay & UX) Connector for AI agents.

Q: Can I send logs from my terminal to Highlight using this?

Yes, you can use the raw log tool to push text directly from your environment to your dashboard.

Q: How can I send a basic text log message to my dashboard?

You can use the ingestrawlog tool. Simply provide the service name and the message content, and it will be sent directly to Highlight.

Q: Does this server support structured OpenTelemetry logs?

Yes! Use the ingestotlplogs tool to send structured logs in OTLP JSON format. Ensure your payload includes the project ID attribute.

3 live capabilities

Connect backend logs and OTLP traces to your session replay dashboard.

Live agent request Highlight (Session Replay & UX) / Connector

Waiting for input…

AI Agent

Why people use Highlight (Session Replay & UX)

Highlight for Solving Manual Log Correlation

This Connector changes that by putting the data where the user experience is. You can tell your agent to grab that log or trace and put it into Highlight immediately. You get a single source of truth where the technical error sits right next to the user's screen.

What Vinkius changes

You get a direct line from your logs to your user sessions without the manual middleman.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

Real-world use case 01

Debugging a production 500 error

A developer sees a '500' error in a local terminal and wants to see if it happened in production.
Real-world use case 02

Verifying a new deployment

A DevOps engineer needs to verify if a new deployment is causing latency.
Real-world use case 03

Finding checkout friction

A product manager wants to know why users are dropping off at checkout.

Complete set · 3capabilities

The complete Highlight (Session Replay & UX) capability set.

These are the exact actions your AI can choose when you ask it to work with Highlight (Session Replay & UX).

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Highlight (Session Replay & UX).

01 Capability
Ingest raw log
Send a simple text log message to your Highlight dashboard. This helps when you need to quickly record a specific event or error string.
02 Capability
Ingest otlp logs
Push structured OTLP JSON logs into Highlight. Use this to keep all your metadata and context intact for complex systems.
03 Capability
Ingest otlp traces
Send OTLP JSON traces to Highlight. This lets you visualize the entire request flow and pinpoint where the lag is happening.

Set up in minutes

One URL. Then ask Highlight (Session Replay & UX) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Highlight (Session Replay & UX) from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX), and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Highlight (Session Replay & UX) for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX) URL.
Step 03

Save and start

Save the connection and enable Highlight (Session Replay & UX) in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "highlight-session-replay-ux": {
      "url": "https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX)

Open Agent mode in chat and ask: "Using Highlight (Session Replay & UX), help me...". 3 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "highlight-session-replay-ux": {
      "url": "https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX)

Ask Copilot: "Using Highlight (Session Replay & UX), help me...". 3 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "highlight-session-replay-ux": {
      "url": "https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX)

Open Cascade and ask: "Using Highlight (Session Replay & UX), help me...". 3 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "highlight-session-replay-ux": {
      "url": "https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX)

Ask Cline: "Using Highlight (Session Replay & UX), help me...". 3 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add highlight-session-replay-ux --transport http "https://edge.vinkius.com/vk_preview_NSOfm3XYtPzM2Hc98HN4tUV10V3ARA5UYzOvTYCR/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 Highlight (Session Replay & UX)

Ask Claude: "Using Highlight (Session Replay & UX), show me...". 3 tools are ready

Where the request belongs

Work Highlight can move forward.

Built around the request

The developer who is tired of digging through thousands of lines of logs to find one specific error. It's for the person who needs to know what the user saw the moment the server blinked.

Backend Developer

Debugging production issues by pushing specific logs from a local terminal to a shared dashboard.

DevOps Engineer

Automating the flow of OTLP data to ensure high-level system visibility is always up to date.

Product Manager

Correlating backend failures with UX friction points to prioritize the next sprint.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 7 capabilities

HyperDX (Open Source Observability)

Monitor logs, events, and alerts via HyperDX. search logs, manage alert rules, and inspect dashboards directly from your AI agent.

View Connector

02 17 capabilities

Coralogix

Manage observability, logs, and parsing rules via Coralogix. ingest logs, monitor SLOs, and control Grafana dashboards directly.

View Connector

03 5 capabilities

OpenReplay

Debug web applications by inspecting user sessions, technical events, and project data directly from your AI agent.

View Connector

04 31 capabilities

Axiom

Manage logs and observability data via Axiom. ingest data, run APL queries, and manage datasets or monitors directly from any AI agent.

View Connector

05 37 capabilities

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.

View Connector

06 12 capabilities

Honeycomb

Automate observability via Honeycomb. manage datasets, queries, and markers directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Highlight 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 Highlight.

The practical details behind the request, access and result.

How does Highlight MCP help with session replays?

It connects your backend logs to your replays so you can see the exact error a user encountered in real time.

Can I send logs from my terminal to Highlight using this?

Yes, you can use the raw log capability to push text directly from your environment to your dashboard.

What is the benefit of using OTLP logs with Highlight?

It keeps your logs structured, meaning you don't lose important metadata when looking at a session.

Does Highlight MCP support traces?

Yes, it allows you to send OTLP traces to see the full request flow and find bottlenecks.

Is this good for product managers?

It's great for correlating backend issues with user behavior to find UX friction points.

How do I get my logs into Highlight?

You just need to provide your Project ID and tell your agent which logs or traces to send.

How can I send a basic text log message to my dashboard?

You can use the ingest_raw_log capability. Simply provide the service name and the message content, and it will be sent directly to Highlight.

Does this server support structured OpenTelemetry logs?

Yes! Use the ingest_otlp_logs capability to send structured logs in OTLP JSON format. Ensure your payload includes the project ID attribute.

Can I visualize request traces using this integration?

Absolutely. The ingest_otlp_traces capability allows you to send OTLP JSON traces to Highlight, helping you track request spans and performance.

One connection away

Give your agent a direct line to Highlight.

Connect Highlight once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

Highlight for Solving Manual Log Correlation

You get a direct line from your logs to your user sessions without the manual middleman.

Debugging a production 500 error

Verifying a new deployment

Finding checkout friction

Ingest raw log

Ingest otlp logs

Ingest otlp traces

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using Highlight (Session Replay & UX)

Create MCP config

Add the server config

Enable Agent mode

Start using Highlight (Session Replay & UX)

Open MCP Settings

Add the server

Save and reload

Start using Highlight (Session Replay & UX)

Open Cline MCP Settings

Add remote server

Enable the server

Start using Highlight (Session Replay & UX)

Install Claude Code

Add the Connector

Verify the connection

Start using Highlight (Session Replay & UX)

Backend Developer

DevOps Engineer

Product Manager

HyperDX (Open Source Observability)

Coralogix

OpenReplay

Axiom

Dynatrace (APM and Observability)

Honeycomb

Give your agent a direct line to Highlight.