Coralogix Connector for AI agents.

17 live capabilities

Manage logs, SLOs, and Grafana dashboards with natural language.

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AI Agent

Why people use Coralogix

Coralogix for Log Parsing and SLO Management

This Connector puts those actions into your chat interface. You can ask your agent to create a rule group or list your current SLOs in a single turn. You get your answers and your changes finished without ever leaving your primary workspace.

What Vinkius changes

You get a natural language interface for your entire Coralogix observability stack.

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

One account · 5,900+ Connectors

Real-world use case 01

Incident Response

An SRE asks the agent to list_slos and search_grafana_dashboards for 'Kubernetes' to find a spike during a production outage.
Real-world use case 02

Cost Management

A DevOps lead asks the agent to get_tco_overrides to see why storage costs are spiking for a specific microservice.
Real-world use case 03

Log Structuring

A developer asks the agent to create_rule_group for a new microservice's JSON logs to ensure they are parsed correctly.

Complete set · 17capabilities

The complete Coralogix capability set.

These are the exact actions your AI can choose when you ask it to work with Coralogix.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 17 available through Coralogix.

01 Capability
List custom enrichments
List custom enrichments. See all the extra data points you've added to your logs.
02 Capability
Create rule group
Create a new parsing rule group. This helps you organize how your logs are structured and processed.
03 Capability
Create slo
Create a Service Level Objective. Use this to define and monitor your system's reliability goals.
04 Capability
Create tco override
Create a TCO policy override. This allows you to manually adjust storage costs for specific data.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 17 available through Coralogix.

05 Capability
Delete tco override
Delete a TCO policy override. Use this to revert to default cost management settings.
06 Capability
Get rules
Get all parsing rules. Quickly see every active rule currently running in your Coralogix account.
07 Capability
Get tco overrides
Get all TCO policy overrides. Check which data sets have custom cost management rules applied.
08 Capability
List slos
List all SLOs. View a summary of all your active Service Level Objectives at once.

Capability set03 / 05

09—11

3 capabilities in this set.

Part of 17 available through Coralogix.

09 Capability
Search grafana dashboards
Search hosted Grafana dashboards. Find the right visualization for your specific problem quickly.
10 Capability
Send logs
Send logs to Coralogix. Push an array of log objects to your platform with specific severity levels.
11 Capability
Create version tag
Create a version tag. Mark a specific release or deployment to see how it affects system behavior.

Capability set04 / 05

12—14

3 capabilities in this set.

Part of 17 available through Coralogix.

12 Capability
Delete custom enrichment
Delete a custom enrichment. Remove extra data points that you no longer need in your logs.
13 Capability
Delete rule group
Delete a parsing rule group. Remove old or unnecessary parsing rules to keep your configuration clean.
14 Capability
Delete slo
Delete an SLO. Remove Service Level Objectives that are no longer relevant to your monitoring.

Capability set05 / 05

15—17

3 capabilities in this set.

Part of 17 available through Coralogix.

15 Capability
Get grafana home
Get hosted Grafana home dashboard. Retrieve the configuration for your main dashboard landing page.
16 Capability
Get rule group
Get a specific parsing rule group. Pull the details of a single rule group to check its configuration.
17 Capability
Create grafana dashboard
Create or update a hosted Grafana dashboard. Set up new visualizations or modify existing ones through your agent.

Set up in minutes

One URL. Then ask Coralogix to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Coralogix 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_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Coralogix for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix URL.
Step 03

Save and start

Save the connection and enable Coralogix in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "coralogix": {
      "url": "https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix

Open Agent mode in chat and ask: "Using Coralogix, help me...". 17 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "coralogix": {
      "url": "https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix

Ask Copilot: "Using Coralogix, help me...". 17 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "coralogix": {
      "url": "https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix

Open Cascade and ask: "Using Coralogix, help me...". 17 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "coralogix": {
      "url": "https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix

Ask Cline: "Using Coralogix, help me...". 17 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add coralogix --transport http "https://edge.vinkius.com/vk_preview_fLjXpnZUgnD9NqivO71a6Yi6Gqrqei8EWgWJEFSK/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 Coralogix

Ask Claude: "Using Coralogix, show me...". 17 tools are ready

Where the request belongs

Work Coralogix can move forward.

Built around the request

This is for the DevOps engineer who's tired of clicking through dozens of menus to manage parsing rules or the SRE trying to keep an eye on SLOs during a high-pressure incident.

01

DevOps Engineer

Automates the creation of parsing rules and monitors SLOs without leaving the terminal or chat.

02

SRE

Quickly checks TCO overrides and deployment tags during active incident response.

03

Software Developer

Sends application logs and verifies dashboard configurations directly from the code editor.

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.

02 19 capabilities

Sumo Logic

Manage logs, metrics, and collectors via Sumo Logic. run search jobs, monitor infrastructure, and manage collectors directly from any AI agent.

03 5 capabilities

Logflare (Log Management Analytics)

Streamline log management and analytics via Logflare. ingest events, execute ad-hoc SQL queries, and trigger pre-configured endpoints directly from your AI agent.

04 16 capabilities

Datadog

Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time.

05 8 capabilities

Loggly (Cloud Log Management API)

Manage cloud logs via Loggly. send events, execute Lucene searches, and analyze infrastructure metrics directly from your AI agent.

06 5 capabilities

SigNoz (Datadog Alternative)

Monitor infrastructure and manage alert rules via SigNoz. list, create, and update observability alerts directly from your AI agent.

Bring your own AI

Change the model, client or framework. Keep Coralogix connected.

Before you connect

Questions about Coralogix.

The practical details behind the request, access and result.

What can I do with the Coralogix MCP?

You can manage logs, parsing rules, SLOs, and dashboards using natural language. It lets your AI agent perform actions directly in your Coralogix account.

Can I use Coralogix MCP to control my costs?

Yes, you can use it to check and manage TCO policy overrides, which helps you keep your log storage costs under control.

How does Coralogix MCP help with incident response?

It helps you find the right Grafana dashboards and check your SLO status quickly through a chat interface, saving you from clicking through menus.

Can I send logs directly through the Coralogix MCP?

Yes, your agent can push log objects directly to Coralogix with specific metadata and severity levels.

Does Coralogix MCP support Grafana?

Yes, it allows you to search for hosted dashboards and create new ones using your AI client.

How do I track my deployments with Coralogix MCP?

You can ask your agent to create version tags for your releases, which marks them in your Coralogix timeline for easier correlation.

Can I programmatically create a version tag for a new deployment?

Yes! Use the create_version_tag capability. You can provide a name for the version and optionally specify the application and subsystem to mark exactly when a release occurred.

How do I check the current Service Level Objectives (SLOs) configured in my account?

Simply ask the agent to run the list_slos query. It will return all configured SLOs, allowing you to monitor reliability targets directly.

Is it possible to search for existing Grafana dashboards through the AI?

Yes. You can use the search_grafana_dashboards capability by providing a query string. The agent will return matching dashboards found in your Coralogix-hosted Grafana instance.

One connection away

Give your agent a direct line to Coralogix.

Connect Coralogix once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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