387 servers
MCP server for InsightSentry financial data API - market data, options, screeners, and more
MCP Server for VictoriaTraces. Provides integration with VictoriaTraces API and documentation
Job tracking CLI + MCP server for AI agents. 99K+ jobs, 775+ companies.
Open source contribution manager with PR tracking, issue discovery, and CI diagnosis
Multi-agent memory intelligence with expertise tracking and conflict detection
Intent tracking, decision recording, and team coordination for AI coding assistants
MCP server for SendPulse API — mailing lists, email sending, statistics. OAuth2 auth.
AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools
MCP Server for vmanomaly - VictoriaMetrics anomaly detection
Math & statistics graphing, computation, visualization, and validation engine
Job search automation, auto apply, resume builder, application tracking, and recruiter outreach
Model Context Protocol (MCP) server for intelligent task management, evaluation scoring, and session-based workflow tracking. Seamlessly integrates with AI assistants to provide structured task orchestration, real-time progress monitoring, and comprehensive evaluation metrics.
Self-healing proxy for MCP servers with retry, circuit breaker, and observability
SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.
Step-by-step observability for MCP agent workflows
Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes
Datadog MCP Server - Comprehensive monitoring and observability tools for Datadog via Model Context Protocol
A comprehensive Model Context Protocol (MCP) server for Kimai time-tracking integration. Provides tools for timesheet management, project tracking, team collaboration, and reporting with smart user selection and Claude Desktop integration.
📊 Analyze data efficiently with Claude Data Analysis Assistant, using AI-driven commands for insights, visualizations, and comprehensive reports.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.