hny-mcp
Enables LLMs to directly query and analyze Honeycomb observability data across multiple environments with support for analytics, SLO monitoring, triggers, dataset metadata, and optimized caching via the Model Context Protocol.
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Enables Claude AI to seamlessly interact with Honeycomb API via Model Context Protocol, supporting dataset, query, event, board, marker, SLO, and trigger management for enhanced observability and monitoring workflows.
31 toolsAdded May 30, 2025
Enables AI assistants to query and analyze Grafana Loki logs using full LogQL support with authentication, multiple output formats, and automatic fallback between logcli and HTTP API for seamless Loki access via Model Context Protocol.
Added May 30, 2025
Enables AI agents to query and analyze network monitoring data from NTOPNG's ClickHouse database using Model Context Protocol, providing comprehensive access to interface stats, host locations, traffic flows, and alert analytics.
Added May 30, 2025
Optimized for Windows Subsystem for Linux, this Model Context Protocol server enables fast, native Linux command-based file system operations including reading, writing, searching, and metadata retrieval across multiple WSL distributions from Windows.
Added May 29, 2025
Manage and scale multiple Model Context Protocol (MCP) servers with a centralized dashboard, real-time monitoring, flexible SSE and stdio protocol support, secure role-based access, hot-swappable configurations, and smart routing powered by semantic search for optimized AI client integration.
Added May 30, 2025