A2amesh
AI-native TypeScript runtime and tools for A2A agent orchestration, MCP integration, registry, protocol, and CLI.
MCP Servers
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 115 of 236
Zaptrace
AI-native, verification-first EDA kernel for prompt-to-fab electronics: ERC/DRC, routing, KiCad/Gerber export, MCP server, SDK, proof packs.
Kicad Studio Kit
KiCad Studio Kit: VS Code extension for KiCad PCB/EDA projects with schematic/PCB viewers, DRC/ERC, BOM, exports, MCP and AI workflows.
Boardreadyops
End-to-end hardware release pipeline for KiCad: generate, validate, sign, and package manufacturer-ready releases as a CLI and GitHub Action.
Notebooklm Mcp Agent
Python MCP agent for NotebookLM-oriented workflows, document orchestration, knowledge extraction, and local automation experiments.
Health Monitor
TypeScript MCP server for service health monitoring, status checks, uptime probes, and operational diagnostics across local or remote targets.
Debug Recorder
TypeScript MCP server for structured debug session capture, reproducible diagnostics, event recording, and developer workflow observability.
Toon Tools Vsx
VS Code extension and TypeScript tooling for TOON workflows, developer productivity, structured file operations, and editor-integrated automation.
Draforge
Kubernetes DRA observability, simulator and diagnostics for GPU accelerator workloads.
Fovux Kit
Python toolkit and application suite for Fovux workflows, MCP integrations, developer utilities, and structured automation across local projects.
Ssh Mcp Pro
TypeScript MCP server for controlled SSH operations, remote host workflows, command execution guardrails, and infrastructure automation. 46 tools, with
Infra Lens
TypeScript MCP server for infrastructure visibility, health checks, inventory inspection, and operations-focused automation across developer… 6 tools, with
MCP Servers FAQ
What is an MCP server?
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
How do I install an MCP server?
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
What should I check before installing one?
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.