An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Logflare Log Management Analytics 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. Query and ingest log data using your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Logflare.

  1. 01

    Query endpoint by name

    This capability queries a specific Logflare Endpoint using its name. You provide interpolation parameters as a JSON object to get your report.

  2. 02

    Ingest logs by ID

    This capability sends log events to a Logflare source identified by its UUID. It requires ingest scope permissions.

  3. 03

    Ingest logs by name

    This capability pushes log events into a Logflare source using its human-readable name. It requires ingest scope permissions.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Logflare.

  1. 04

    Management query

    This capability runs ad-hoc SQL queries against your Logflare data. You must include a WHERE filter on the timestamp field.

  2. 05

    Query endpoint by ID

    This capability retrieves data from a Logflare Endpoint using its unique UUID. You pass interpolation parameters via a JSON object.

Real work

What teams actually run

01

Incident Response

A DevOps engineer asks the agent to find all 500 errors in a specific service from the last ten minutes.

02

Usage Reporting

A data analyst requests a summary of user activity by running a SQL query against web traffic logs.

03

Real-time Debugging

A developer pushes custom logs from a test environment directly to a Logflare source using the agent.

04

Automated Monitoring

An agent triggers a pre-configured endpoint to pull a daily summary report for a specific date.

Automate a task

Put Logflare 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

Logflare 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 Logflare 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

901ms average. Fast in production.

Logflare is checked daily against the live service.

Daily averagePeak 1053ms
Oct 3Today
Fastest day
738ms
Slowest day
1053ms
14-day trend
Improving-16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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 Logflare, so you can see the experience inside your AI.

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

Logflare Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/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 — Logflare capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "logflare-log-management-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/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 Logflare in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Logflare owners hand off.

This MCP is built for technical teams who need to interact with log data without switching contexts. It turns your AI client into a command center for observability.

  • 01

    DevOps Engineers

    They use the agent to identify the root cause of production incidents via quick log queries.

  • 02

    Data Analysts

    They run SQL queries against log data to generate performance metrics and usage reports.

  • 03

    Backend Developers

    They ingest custom application logs during testing to monitor data flow in real-time.

FAQ

Questions Logflare 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 enter your Logflare Access Token (API Key) to authenticate your account.

  • 03

    Can I run custom SQL queries?

    Yes, you can use the management_query capability to run ad-hoc BigQuery or PostgreSQL queries, provided you include a timestamp filter.

  • 04

    Can I send logs to Logflare through my agent?

    Yes, you can use either ingest_logs_by_id or ingest_logs_by_name to send log events to your sources.

  • 05

    Which AI clients are compatible?

    This MCP works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    What are the requirements for running a management query?

    You must provide a valid BigQuery SQL string. Crucially, Logflare requires a WHERE filter on the timestamp field to optimize the query. You can also optionally provide a PostgreSQL version of the query using the management_query capability.

  • 07

    Can I ingest logs using just the source name instead of a UUID?

    Yes! You can use the ingest_logs_by_name capability. Simply provide the human-readable name of your source and the array of log events you wish to send.

  • 08

    How do I pass parameters to a pre-configured Logflare Endpoint?

    Use the query_endpoint_by_name or query_endpoint_by_id capabilities and provide a JSON object in the params field. For example: {"user_id": "123", "status": "active"}.

Explore

More in Data Analytics

Suggestions

Connect Logflare to Claude, Cursor, ChatGPT & more