A collection of MCP servers.
Awesome MCP Servers is a community-maintained directory listing hundreds of Model Context Protocol server implementations organized into over 50 categories, including browser automation, databases, file systems, code execution, home automation, finance, security, and version control. Each entry is tagged with implementation language (Python, TypeScript, Go, Rust, C#, Java, Ruby, or C/C++), scope (local or cloud), and supported operating systems, making it straightforward to filter for compatible servers. The list covers both official implementations and community-built ones, and connects directly to a synced web-based directory at glama.ai/mcp/servers. MCP servers in the list plug into Claude Desktop, Claude Code, and any other MCP-compatible client to extend AI capabilities through external tools and data sources. A standout detail is the breadth of coverage, including niche categories such as bioinformatics, embedded systems, spirituality, and sports. Developers building MCP integrations, researchers evaluating available tooling, and end users configuring Claude clients are the primary audiences.
Curated awesome-list pointing to third-party MCP servers.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Trusted owner (punkpeye)
- ✓Mature repo (>1y old)
git clone https://github.com/punkpeye/awesome-mcp-serversResumen de Awesome Lists
Lo que la gente pregunta sobre awesome-mcp-servers
¿Qué es punkpeye/awesome-mcp-servers?
+
punkpeye/awesome-mcp-servers es awesome lists para el ecosistema de Claude AI. A collection of MCP servers. Tiene 94.8k estrellas en GitHub y su última actualización registrada es del 2026-09-08.
¿Cómo se instala awesome-mcp-servers?
+
Puedes instalar awesome-mcp-servers clonando el repositorio (https://github.com/punkpeye/awesome-mcp-servers) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar punkpeye/awesome-mcp-servers?
+
Nuestro agente de seguridad ha analizado punkpeye/awesome-mcp-servers y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene punkpeye/awesome-mcp-servers?
+
punkpeye/awesome-mcp-servers es mantenido por punkpeye. La última actividad registrada en GitHub es del 2026-09-08, con 2371 issues abiertos.
¿Hay alternativas a awesome-mcp-servers?
+
Sí. En ClaudeWave puedes explorar awesome lists similares en /categories/awesome, ordenados por popularidad o actividad reciente.
Despliega awesome-mcp-servers en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/punkpeye-awesome-mcp-servers)<a href="https://claudewave.com/repo/punkpeye-awesome-mcp-servers"><img src="https://claudewave.com/api/badge/punkpeye-awesome-mcp-servers" alt="Featured on ClaudeWave: punkpeye/awesome-mcp-servers" width="320" height="64" /></a>Más Awesome Lists
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,115+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
Your ultimate Go microservices framework for the cloud-native era.
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.