MCP server that exposes 100+ AI agent skills from the VoltAgent awesome-agent-skills collection. Works with Claude, GitHub Copilot, and any
Most AI and media services work still happens through a UI a human drives. Awesome Agent Skills MCP MCP server moves it into the conversation instead. MCP server that exposes 100+ AI agent skills from the VoltAgent awesome-agent-skills collection. Works with Claude, GitHub Copilot, and any MCP-compatible client.
Transform your AI assistants into specialized experts with skills from Anthropic, Vercel, Trail of Bits, Hugging Face, Stripe, Expo, and many more leading organizations.
The server publishes 12 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverOpenCode — The OpenCode tool exposed by this serverAnthropic — Document processing, presentation creation, spreadsheet manipulation, PDF handling, algorithmic art, MCP building, and moreVercel — React and Next.js best practices, deployment, and performance optimizationSentry — The Sentry tool exposed by this serverlist_skills — The list_skills tool exposed by this serverget_skill — The get_skill tool exposed by this serverinvoke_skill — The invoke_skill tool exposed by this serverrefresh_skills — The refresh_skills tool exposed by this serverSetup — The Setup tool exposed by this serverBuild — The Build tool exposed by this serverTechnologies — The Technologies tool exposed by this serverConfiguration is passed through the environment: SKILLS_REPO_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on npm as awesome-agent-skills-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Awesome Agent Skills MCP's toolset — Prerequisites, OpenCode, Anthropic and 9 more — is a fair guide to whether it matches your workflow. It is maintained by shadowrootdev; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| OpenCode | The OpenCode tool exposed by this server. |
| Anthropic | Document processing, presentation creation, spreadsheet manipulation, PDF handling, algorithmic art, MCP building, and more. |
| Vercel | React and Next.js best practices, deployment, and performance optimization. |
| Sentry | The Sentry tool exposed by this server. |
| list_skills | The list_skills tool exposed by this server. |
| get_skill | The get_skill tool exposed by this server. |
| invoke_skill | The invoke_skill tool exposed by this server. |
| refresh_skills | The refresh_skills tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Build | The Build tool exposed by this server. |
| Technologies | The Technologies tool exposed by this server. |
{
"mcpServers": {
"awesome-agent-skills": {
"command": "npx",
"args": ["awesome-agent-skills-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SKILLS_REPO_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.