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Vinkius

Loggly (Cloud Log Management API) Connector for AI agents.

8 live capabilities

Search cloud logs and manage infrastructure metrics with natural language.

Live agent request Loggly (Cloud Log Management API) / Connector

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AI Agent

Why people use Loggly (Cloud Log Management API)

Loggly for Solving Production Outage Fatigue

With the Loggly MCP, you just tell your agent what is wrong. It executes the search, filters the results, and shows you the relevant errors in a single conversation. You get the answer in seconds instead of minutes, letting you focus on fixing the code rather than hunting for it.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for your entire cloud logging infrastructure.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Production Outage Investigation

    An SRE asks the agent to find all 500 errors in the last 10 minutes using search_events to identify the failing service.

  2. Real-world use case 02

    Debugging a New API Endpoint

    A developer sends a JSON log via send_event to verify that a new endpoint is reachable and returning the correct status.

  3. Real-world use case 03

    Security Access Audit

    A security lead uses list_users to check who has admin access to the logging platform and ensures only authorized staff are on the list.

Complete set · 8capabilities

The complete Loggly (Cloud Log Management API) capability set.

These are the exact actions your AI can choose when you ask it to work with Loggly (Cloud Log Management API).

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 8 available through Loggly (Cloud Log Management API).

  1. 01 Capability

    Get customer info

    Get your account details from Loggly. This helps you keep track of your subscription status and limits.

  2. 02 Capability

    Get events

    Pull the actual logs from a specific search result. It is the way you see the raw data after running a query.

  3. 03 Capability

    Get field values

    See how often different values appear in a specific log field. This is great for understanding data distribution or finding common error types.

  4. 04 Capability

    List fields

    See all the different fields available in your current Loggly logs. This helps you know what you can actually filter by.

Capability set02 / 02

05—08

4 capabilities in this set.

Part of 8 available through Loggly (Cloud Log Management API).

  1. 05 Capability

    List users

    See a list of everyone with access to your Loggly account. Use this to manage permissions and audit your team.

  2. 06 Capability

    Search events

    Start a new search using Lucene syntax. This lets you find specific logs across your infrastructure without manual filtering.

  3. 07 Capability

    Send bulk events

    Send a large batch of line-separated logs to Loggly. This is the best way to move a lot of data at once.

  4. 08 Capability

    Send event

    Send a single log entry or a JSON object to Loggly. It is perfect for real-time debugging and tracking specific actions.

Set up in minutes

One URL. Then ask Loggly (Cloud Log Management API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Loggly (Cloud Log Management API) 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_YERVkwYlKRCd9QDot0W95wUjp0DxrokEefz1j8us/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Loggly (Cloud Log Management API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Loggly (Cloud Log Management API) for the conversation.

Where the request belongs

Work Loggly can move forward.

Built around the request

For the SRE who spends half their shift hunting through logs or the backend dev who needs to see if their hotfix actually hit production.

01

SRE/DevOps Engineer

Investigates production outages by asking the agent to find specific error codes or latency spikes.

02

Backend Developer

Sends custom debug events during testing to verify that logs are showing up correctly.

03

Security Analyst

Audits user roles and searches for suspicious login patterns using structured queries.

Build the capability set

Add more capabilities.

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

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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.

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02 31 capabilities

Logz.io

Query logs, manage alerts, and monitor triggered events in Logz.io directly from your AI agent using Elasticsearch DSL.

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03 6 capabilities

Papertrail (Real-time Cloud Log Manager)

Manage and analyze cloud logs in real-time via Papertrail. search events, list systems, and organize log groups directly from your AI agent.

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04 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.

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05 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.

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Coralogix logo
06 17 capabilities

Coralogix

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

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Bring your own AI

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

  • Claude
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Before you connect

Questions about Loggly.

The practical details behind the request, access and result.

Can I use Loggly MCP to find errors in my production logs?

Yes. You can ask your agent to search for specific error codes or patterns using natural language. It will run the query and show you the relevant logs directly in your chat.

How does Loggly MCP help with SRE tasks?

It allows SREs to monitor infrastructure and troubleshoot issues faster. You can check for latency spikes, find specific service errors, and analyze log trends without leaving your AI client.

Can I send logs to Loggly using my AI agent?

Yes. You can ask your agent to send single JSON events or bulk batches of logs. This is great for real-time debugging and verifying that your application is sending the right data.

Does Loggly MCP support Lucene search?

Yes. The Connector is designed to execute Lucene queries. You can ask your agent to write the query for you based on your description of what you are looking for.

How do I manage my Loggly users with this Connector?

You can ask your agent to list all active users and their roles. This makes it easy to audit your permissions and see who has access to your logging platform.

Can I use Loggly MCP for security auditing?

Yes. You can use it to search for suspicious patterns, audit user roles, and check account details to ensure your logging infrastructure remains secure.

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.

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.

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.

One connection away

Give your agent a direct line to Loggly.

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

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