387 servers
Drop-in observability for MCP servers — track tool calls, latency, errors, and usage with one line of code
A Model Context Protocol server providing tools to interact with ActivityWatch time tracking data
Health and medical data for AI agents — WHO disease data, drug info, clinical trials, health statistics
A simple Data Visualization MCP server using Vega-Lite
An open-source MCP (Model Context Protocol) server for IBM Storage Insights, providing real-time observability for the data center. This server supports components such as Storage System Alerts, Notifications, Volume and System Details, Used/Usable Capacity tracking, and metric fetch (performance and capacity) for both storage systems and tenants.
Model Context Protocol (MCP) server for Apache Ambari API integration. Provides comprehensive tools for managing Hadoop clusters including service operations, configuration management, status monitoring, and request tracking.
Static analysis tool for MCP server Python code — detects security vulnerabilities via AST and taint tracking.
A simple task management MCP for adding, completing, and tracking tasks
AI Chief of Staff — emotional memory, Bayesian belief tracking, dual-engine gap analysis, voice-adaptive briefings, and governed memory. MCP server for Claude Code.
MCP Server for Prometheus Alertmanager integration
Connect Claude to Fathom meeting recordings, transcripts, and summaries
Lightweight observability for MCP agent interactions — capture every tool call, generate visual audit trails.
A zero-dependency, in-memory graph database providing a memory layer for local AI agents with AST-based dependency tracking and Token-Level Provenance via Source Maps.
MCP Server for interacting with Statistics Canada Web Data Services API
A MCP server providing tools to fetch statistics from video intelligent operation platform powered by E20
MCP server for GreptimeDB with SQL/TQL/PromQL support, sensitive data masking, and prompt templates for observability data analysis.
TypeScript SDK for MCP server observability, built on OpenTelemetry. Gain insight into agent usage patterns, contextualize tool calls, and analyze server performance across platforms. Integrate with any OpenTelemetry ingest service including the Shinzo platform.
MCP server for interacting with AWS Managed Prometheus
Model Context Protocol (MCP) server for Google Analytics 4 (GA4)
A powerful Model Context Protocol (MCP) server for creating interactive data visualizations using matplotlib