Server Dev Test
FreeNot checkedA Model Context Protocol server implementation using Node.js, TypeScript, and Bun, designed for serverless and edge deployments on Vercel and Cloudflare.
About
A Model Context Protocol server implementation using Node.js, TypeScript, and Bun, designed for serverless and edge deployments on Vercel and Cloudflare.
README
Model Context Protocol (MCP) Server implementation based on @modelcontextprotocol/sdk, Node.js, TypeScript, and Bun. Designed for serverless and edge environment deployments including Vercel and Cloudflare.
Architecture
- Runtime: Bun / Node.js
- Language: TypeScript
- Protocol: Model Context Protocol (MCP)
Prerequisites
- Bun >= 1.0.0
- Node.js >= 18.0.0 (required for Vercel deployment compatibility)
Installation
bun install
Development
bun run dev
Deployment
Vercel (Serverless Functions)
Ensure the api/ directory contains the serverless function entry points.
Execute deployment via Vercel CLI:
vercel deploy --prod
Cloudflare Workers
Ensure wrangler.toml is configured with the correct entry point (e.g., src/index.ts).
Execute deployment via Wrangler:
bun run wrangler deploy
Protocol Specifications
Refer to the official Model Context Protocol documentation for detailed information regarding MCP architecture, standard transports, and security models.
Installing Server Dev Test
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/yxb123456cy/mcp-server-dev-testFAQ
Is Server Dev Test MCP free?
Yes, Server Dev Test MCP is free — one-click install via Unyly at no cost.
Does Server Dev Test need an API key?
No, Server Dev Test runs without API keys or environment variables.
Is Server Dev Test hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Server Dev Test in Claude Desktop, Claude Code or Cursor?
Open Server Dev Test on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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