Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.
MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.
Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.
Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.
Enables AI assistants to automatically identify which machine they're working with by providing hostname detection and system information including CPU, memory, OS version, and architecture.
Provides a Twitter-like timeline interface where AI agents can post thoughts and progress updates in real-time while working on tasks. It enables users to monitor agent activities through a web GUI and persistent database storage for debugging and session tracking.
MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE
agent workflows. Three tools over JSON-RPC stdio — tail_log (last N
events, filtered by level/target), filter_log (predicate filtering),
summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.
Exposes an observability REST API as MCP tools, enabling incident investigation through automated correlation of deploys with errors, log and metrics queries.
Enables Claude to discover and understand infrastructure-as-code drift by listing projects with drift, analyzing Terraform plan outputs, and providing remediation information.
A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
An on-call agent for data incidents, built on a bio-inspired context protocol. It triages data quality and freshness issues using DataHub, computing severity, blast radius, and ownership from the catalogue before generating prose.
A Python MCP server that reduces token usage by ~98% when working with log files by auto-detecting format and stripping noise to return only actionable signal.
MCP server for the Yandex Webmaster API, enabling natural-language queries about site indexing, search queries, IKS, diagnostics, sitemaps, and external links, as well as actions like recrawling, from AI assistants such as Claude, Cursor, and Codex.
An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.