Graylog FAQs

Question 1

How does Graylog MCP Server integrate with my Graylog instance?

Accepted Answer

It connects to Graylog using its base URL and an API token, which are configured via environment variables. Once connected, it exposes a `fetch_graylog_messages` tool that AI clients can use to query Graylog logs directly.

Question 2

Which MCP clients are supported by the Graylog MCP Server?

Accepted Answer

The server is designed to work with any Model Context Protocol (MCP) compliant client. Explicit configuration examples and integration details are provided for popular AI clients such as Cursor and Claude Desktop.

Question 3

What is the Graylog MCP Server?

Accepted Answer

The Graylog MCP Server is a JavaScript-based Model Context Protocol (MCP) server that connects your Graylog instance to MCP-compatible AI clients (e.g., Cursor, Claude Desktop). It enables programmatic log message retrieval and analysis.

Question 4

What kind of log queries can I perform with this tool?

Accepted Answer

You can perform dynamic Graylog queries using standard syntax, specifying search queries, relative time ranges in seconds, maximum message counts, and specific fields to retrieve. All these parameters can be controlled through natural language prompts within your MCP client.

Question 5

What are the main benefits of using the Graylog MCP Server?

Accepted Answer

The primary benefits include leveraging AI for simplified, programmatic log analysis and retrieval from Graylog, integrating log data directly into AI-driven workflows, and enhancing your monitoring and analytics capabilities through natural language queries.

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