"Observability" matching MCP servers:

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

An MCP server that provides a secure, sandboxed tool execution fabric for AI agents, featuring JSON-RPC 2.0 protocol support, read-only constraints, and an observability inspector dashboard.

Provides mathematical operations (expression evaluation, arithmetic, advanced calculations) through MCP, backed by Temporal workflows for reliability and durability. Demonstrates integration between Model Context Protocol tools and Temporal's Nexus RPC framework with full observability.