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Bun Http Server

Community
secondsky
bun-http-server

Use when building HTTP servers with Bun.serve, handling requests/responses, implementing routing, creating REST APIs, or configuring fetch handlers.

Overview

Publishersecondsky
Repositoryclaude-skills
Skill namebun-http-server
Stars
219
Forks
31
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by secondsky on GitHub. Read the source before you install it.

Installation

Install the Bun Http Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/secondsky/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/bun/skills/bun-http-server .claude/skills/bun-http-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bun Http Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bun Http Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bun Http Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bun HTTP Server

Bun has a built-in high-performance HTTP server via Bun.serve().

Quick Start

typescript
const server = Bun.serve({
  port: 3000,
  fetch(req) {
    return new Response("Hello World!");
  },
});

console.log(`Server running at http://localhost:${server.port}`);

Request Handling

typescript
Bun.serve({
  fetch(req) {
    const url = new URL(req.url);

    // Method
    console.log(req.method); // GET, POST, etc.

    // Path
    console.log(url.pathname); // /api/users

    // Query params
    console.log(url.searchParams.get("id")); // ?id=123

    // Headers
    console.log(req.headers.get("Content-Type"));

    return new Response("OK");
  },
});

Body Parsing

typescript
Bun.serve({
  async fetch(req) {
    // JSON
    const json = await req.json();

    // Form data
    const form = await req.formData();

    // Text
    const text = await req.text();

    // ArrayBuffer
    const buffer = await req.arrayBuffer();

    // Blob
    const blob = await req.blob();

    return new Response("Received");
  },
});

Response Types

typescript
Bun.serve({
  fetch(req) {
    const url = new URL(req.url);

    switch (url.pathname) {
      case "/json":
        return Response.json({ message: "Hello" });

      case "/html":
        return new Response("<h1>Hello</h1>", {
          headers: { "Content-Type": "text/html" },
        });

      case "/redirect":
        return Response.redirect("/new-location", 302);

      case "/file":
        return new Response(Bun.file("./image.png"));

      case "/stream":
        return new Response(
          new ReadableStream({
            start(controller) {
              controller.enqueue("chunk1");
              controller.enqueue("chunk2");
              controller.close();
            },
          })
        );

      default:
        return new Response("Not Found", { status: 404 });
    }
  },
});

Simple Routing

typescript
Bun.serve({
  fetch(req) {
    const url = new URL(req.url);
    const path = url.pathname;
    const method = req.method;

    // Static routes
    if (method === "GET" && path === "/") {
      return new Response("Home");
    }

    if (method === "GET" && path === "/api/users") {
      return Response.json([{ id: 1, name: "Alice" }]);
    }

    // Dynamic routes
    const userMatch = path.match(/^\/api\/users\/(\d+)$/);
    if (method === "GET" && userMatch) {
      const userId = userMatch[1];
      return Response.json({ id: userId });
    }

    // 404
    return new Response("Not Found", { status: 404 });
  },
});

Error Handling

typescript
Bun.serve({
  fetch(req) {
    try {
      // Handle request
      throw new Error("Something went wrong");
    } catch (error) {
      return new Response(
        JSON.stringify({ error: error.message }),
        {
          status: 500,
          headers: { "Content-Type": "application/json" }
        }
      );
    }
  },
  error(error) {
    // Global error handler
    return new Response(`Error: ${error.message}`, { status: 500 });
  },
});

Server Options

typescript
const server = Bun.serve({
  port: 3000,           // Default: 3000
  hostname: "0.0.0.0",  // Default: "0.0.0.0"

  development: true,    // Pretty errors in browser

  // TLS/HTTPS
  tls: {
    key: Bun.file("./key.pem"),
    cert: Bun.file("./cert.pem"),
  },

  // Unix socket
  unix: "/tmp/my-socket.sock",

  // Max request body size (default 128MB)
  maxRequestBodySize: 1024 * 1024 * 10, // 10MB

  fetch(req) {
    return new Response("OK");
  },
});

Server Methods

typescript
const server = Bun.serve({ ... });

// Server info
console.log(server.port);        // 3000
console.log(server.hostname);    // "0.0.0.0"
console.log(server.url);         // URL object

// Stop server (Bun 1.2+: returns a Promise — await it to flush in-flight
// requests; calling it without await may not drain connections).
await server.stop();

// Reload with new config
server.reload({
  fetch(req) {
    return new Response("Updated!");
  },
});

// Pending requests count
console.log(server.pendingRequests);

Routing with routes (Bun 1.2+)

The examples above use the classic fetch(req) handler with manual URL parsing, which still works. As of Bun 1.2, the canonical way to declare route maps is the routes option, with dynamic params available on req.params:

typescript
Bun.serve({
  routes: {
    "/api/users": {
      GET: () => Response.json([{ id: 1, name: "Alice" }]),
      POST: async (req) => Response.json(await req.json(), { status: 201 }),
    },
    "/api/users/:id": (req) => {
      const { id } = req.params;
      return Response.json({ id });
    },
  },
  fetch(req) {
    return new Response("Not Found", { status: 404 });
  },
});

Use routes for new code; keep fetch as a fallback for unmatched paths.

Static Files

typescript
Bun.serve({
  fetch(req) {
    const url = new URL(req.url);

    // Serve static files from public/
    if (url.pathname.startsWith("/static/")) {
      const filePath = `./public${url.pathname.replace("/static", "")}`;
      const file = Bun.file(filePath);

      if (await file.exists()) {
        return new Response(file);
      }
      return new Response("Not Found", { status: 404 });
    }

    return new Response("API");
  },
});

CORS

typescript
function corsHeaders() {
  return {
    "Access-Control-Allow-Origin": "*",
    "Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS",
    "Access-Control-Allow-Headers": "Content-Type, Authorization",
  };
}

Bun.serve({
  fetch(req) {
    // Handle preflight
    if (req.method === "OPTIONS") {
      return new Response(null, { headers: corsHeaders() });
    }

    // Add CORS headers to response
    return new Response("OK", { headers: corsHeaders() });
  },
});

Common Errors

ErrorCauseFix
EADDRINUSEPort in useUse different port or kill process
Cannot read bodyBody already consumedRead body once only
CORS errorMissing headersAdd CORS headers
413 Payload Too LargeBody exceeds limitIncrease maxRequestBodySize

When to Load References

Load references/tls-config.md when:

  • HTTPS/TLS setup
  • Certificate configuration
  • mTLS authentication

Load references/streaming.md when:

  • Server-sent events
  • Streaming responses
  • Chunked transfer encoding

Frequently asked questions

What does the Bun Http Server AI skill do?

Use when building HTTP servers with Bun.serve, handling requests/responses, implementing routing, creating REST APIs, or configuring fetch handlers.

Why use Bun Http Server on TypingMind?

Because you install it once and use it with any model. Bun Http Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bun Http Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/secondsky/claude-skills/tree/main/plugins/bun/skills/bun-http-server. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bun Http Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bun Http Server?

As many as you like. As long as a model supports skills, you can use Bun Http Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bun Http Server AI skill free?

Yes. It is published on GitHub by secondsky under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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