An MCP server that enables AI assistants to query and explore your OpenObserve observability data. Provides read-only access to logs, metrics, and traces for analysis and troubleshooting.
An MCP server that exposes live network monitoring data as Resources and diagnostic capabilities as Tools, letting AI assistants query network health conversationally.
This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API.
MCP server for querying observability data from Elasticsearch, SkyWalking, and Prometheus/VictoriaMetrics, enabling AI models to search logs, traces, and metrics across environments.
he Maximo MCP Server bridges AI agents (Claude, Cursor, Antigravity) with your IBM Maximo environment. It empowers your AI to autonomously discover Object Structures (APIs), inspect schemas, and query live data via OSLC. Instead of hallucinating field names, the AI validates queries instantly and ca