A simple from-scratch implementation of the Model Context Protocol (MCP) for building MCP servers and clients using
Most AI and media services work still happens through a UI a human drives. Diy MCP MCP server moves it into the conversation instead. A simple from-scratch implementation of the Model Context Protocol (MCP) for building MCP servers and clients using stdio. This example uses a simple.
The server publishes 3 tools. What each one is for:
Setup — The Setup tool exposed by this serverRunning — You can test the MCP server with MCP Inspector, an interactive tool for testing and debuggingUsage — Once running, you can interact with the MCP server through the MCP client CLI. Try asking the LLM some questions about Chinese tea:Configuration is passed through the environment: ANTHROPIC_API_KEY. 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.
npm on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Diy MCP's toolset — Setup, Running, Usage — is a fair guide to whether it matches your workflow. It is maintained by mwpryer; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Setup | The Setup tool exposed by this server. |
| Running | You can test the MCP server with [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector), an interactive tool for testing and debugging MCP servers. |
| Usage | Once running, you can interact with the MCP server through the MCP client CLI. Try asking the LLM some questions about Chinese tea: |
{
"mcpServers": {
"diy": {
"command": "npx",
"args": ["-y", "npm"],
"env": {
"ANTHROPIC_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | 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.