Integrates with Grafana Loki to enable LLMs to query and analyze log data via the Model Context Protocol.
Sponsored
This tool serves as a Model Context Protocol (MCP) server, facilitating the interaction between large language models (LLMs) and Grafana Loki log instances. It empowers LLMs to perform sophisticated log searches, detailed analysis, and stream discovery by providing a programmatic interface to extract valuable insights from log data. With support for executing LogQL queries, discovering labels and their values, exploring log series, and obtaining index statistics, it significantly enhances the analytical capabilities of AI systems interacting with Loki, accommodating various authentication methods and multi-tenant configurations.
Key Features
01Execute LogQL range queries with flexible time ranges
02Support for Basic auth, Bearer token, and multi-tenant (X-Scope-OrgID) authentication
03Explore log streams matching specific label selectors
04Discover labels and their values for query building
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06Retrieve cardinality and size metrics for index statistics
Use Cases
01Empowering LLMs to search and analyze operational logs.
02Automating log data extraction and insight generation for AI-driven monitoring.
03Programmatically accessing Loki instances for complex diagnostic queries via an MCP client.
