MCP For Claude Marketplace
Logflare (Log Management Analytics)

Logflare (Log Management Analytics) MCP Connector for Claude

F

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

5 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Logflare account to any AI agent to monitor, analyze, and manage your log data through natural language. Logflare provides a powerful interface for BigQuery-backed log storage and retrieval.

What you can do

  • Log Ingestion — Send batches of log events to specific sources using either their unique UUID or human-readable name.
  • Ad-hoc SQL Queries — Execute complex BigQuery or PostgreSQL queries against your log data to find patterns or troubleshoot issues.
  • Endpoint Execution — Trigger pre-configured Logflare Endpoints with custom parameters to retrieve structured analytical reports.
  • Real-time Monitoring — Query your logs instantly to get the latest status of your applications and infrastructure.

How it works

  1. Subscribe to this server
  2. Enter your Logflare Access Token (API Key)
  3. Start analyzing your logs from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • DevOps Engineers — quickly query logs to identify the root cause of production incidents without leaving the terminal or chat.
  • Data Analysts — run SQL queries against log data to generate usage reports or performance metrics.
  • Backend Developers — ingest custom application logs during testing or debugging phases to monitor flow in real-time.
loggingbigquerysql-analyticsobservabilityreal-time-logs

5 tools expose this connector's capabilities to your AI agent.

ingest_logs_by_id

Requires ingest scope. Ingest log events into a Logflare source by UUID

ingest_logs_by_name

Requires ingest scope. Ingest log events into a Logflare source by Name

management_query

Requires management scope. Must include a WHERE filter on the timestamp field. Execute an ad-hoc SQL query against Logflare

query_endpoint_by_id

Pass interpolation parameters as a JSON object. Query a Logflare Endpoint by UUID

query_endpoint_by_name

Pass interpolation parameters as a JSON object. Query a Logflare Endpoint by Name

See how to talk to your AI agent using Logflare (Log Management Analytics).

Send a log to 'api-logs' saying 'Connection timeout' with metadata {'service': 'auth'}.

I've successfully ingested the log event into the 'api-logs' source using `ingest_logs_by_name`. The event is now available for analysis.

Run a SQL query to find the top 5 IP addresses from the 'web-traffic' source in the last hour.

I've executed the `management_query`. Here are the top 5 IP addresses found: [List of IPs]. I included the required timestamp filter for the last 60 minutes.

Query the endpoint 'daily-summary' with the parameter 'date' set to '2023-10-27'.

I've retrieved the data from the 'daily-summary' endpoint using `query_endpoint_by_name`. The summary for that date shows 15,420 total events.

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` tool.

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