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Connect Loggly Cloud Log Management API 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. Let your AI agent debug infrastructure and monitor logs.

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 · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Loggly.

  1. 01

    Get customer info

    This capability pulls your Loggly account details and subscription information.

  2. 02

    Get events

    This capability retrieves up to 5,000 log events using a specific search result ID.

  3. 03

    Search events

    This capability starts an asynchronous search query to find specific logs.

  4. 04

    Send bulk events

    This capability sends batches of line-separated events to Loggly in a single request.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Loggly.

  1. 05

    Send event

    This capability pushes a single or multiline event, including JSON, to your Loggly account.

  2. 06

    Get field values

    This capability performs faceting to get counts of specific values within a log field.

  3. 07

    List fields

    This capability provides a list of all available fields currently in your Loggly data.

  4. 08

    List users

    This capability retrieves a list of all active users in your Loggly organization.

Real work

What teams actually run

01

Rapid Error Debugging

When a service fails, your agent searches for recent error logs to find the root cause.

02

Real-time Debugging

A developer sends a JSON event to Loggly to verify a new feature's telemetry is working.

03

System Health Monitoring

Your agent checks field values to see if error counts for a specific service are spiking.

04

Security Auditing

An analyst asks the agent to list all active users to verify account access.

Automate a task

Put Loggly to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Loggly 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 Loggly 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

998ms average. Fast in production.

Loggly is checked daily against the live service.

Daily averagePeak 1141ms
Oct 3Today
Fastest day
768ms
Slowest day
1141ms
14-day trend
Slowing+16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive 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 Loggly, so you can see the experience inside your AI.

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

Loggly Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YERVkwYlKRCd9QDot0W95wUjp0DxrokEefz1j8us/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 — Loggly capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "loggly-cloud-log-management-api-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YERVkwYlKRCd9QDot0W95wUjp0DxrokEefz1j8us/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 Loggly in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Loggly owners hand off.

This MCP is built for engineers who need to interact with observability data without leaving their development environment.

  • 01

    DevOps & SREs

    They hand off the task of searching for production errors and analyzing log trends to their agent.

  • 02

    Backend Developers

    They use the agent to send debug events and verify that logs are being indexed correctly.

  • 03

    Security Analysts

    They task the agent with auditing user roles and searching for suspicious patterns in structured logs.

FAQ

Questions Loggly owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You subscribe to the MCP on Vinkius and then connect your client, such as Claude or Cursor, with a single click. Vinkius handles the hosting and credentials for you.

  • 02

    What credentials do I need to provide?

    You will need to provide your Loggly Subdomain, your API Token, and your Customer Token to establish the connection.

  • 03

    Can my agent send JSON logs?

    Yes, you can use the send_event capability with the is_json parameter set to true to send JSON strings to Loggly.

  • 04

    Is there a limit to how many logs I can retrieve?

    The get_events capability allows you to retrieve up to 5,000 events per search using a Result Set ID.

  • 05

    Can I use Lucene syntax with my agent?

    Yes, the agent can execute complex queries using Lucene syntax through the search_events capability.

  • 06

    How do I search for logs and see the results?

    Searching is a two-step process: first, use search_events with your Lucene query to get a Result Set ID (rsid). Then, use get_events with that rsid to retrieve the actual log data.

  • 07

    Can I send JSON logs directly from the AI?

    Yes! Use the send_event capability and set is_json to true. You can pass a JSON string in the event_data field, and Loggly will parse it as a structured object.

  • 08

    How can I see which fields are most common in my logs?

    You can use list_fields to see all available fields, or use get_field_values with a specific field name to get a count of the top values (faceting) for that field.

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