mcp-server-builder

name	mcp-server-builder
description	Use when creating MCP (Model Context Protocol) servers for any API or service. Auto-generate tools, resources, and prompts that any AI agent can use.
domain	mcp
author	oyi77
license	Apache-2.0
subdomain	mcp
tags	["ai-agent","api","builder","mcp","mcp-server","model-context-protocol","server","tool-integration"]
persona	{"name":"Anthropic MCP Team","expertise":"Protocol design, API integration, AI agent architecture","philosophy":"Standards enable interoperability","credentials":"Created MCP standard at Anthropic"}
version	1.0.0

Mcp Server Builder

When to Use

Trigger phrases:

• "mcp server builder"
• "Help me with mcp server builder"

Use cases:

• When the task matches this skill's domain expertise

When NOT to use:

• For tasks outside this skill's scope

mcp generate --spec https://api.example.com/openapi.json

Or create custom server

mcp create --name "my-service" --tools getData,postData

### What is MCP?

MCP is a protocol that allows AI systems to access external tools and data through a standardized interface. Think USB-C for AI applications.

### Server Components

**Tools:** Functions the AI can call
```json
{
  "name": "searchDatabase",
  "description": "Search company database",
  "input_schema": {
    "query": "string",
    "limit": "number"
  }
}

Resources: Data the AI can read

{
  "uri": "docs://readme",
  "name": "Project README",
  "mimeType": "text/markdown"
}

Prompts: Pre-defined templates

{
  "name": "debug_error",
  "template": "Analyze this error: {{error}}"
}

Building a Server

1. Define your API endpoints as tools
2. Document responses as resources
3. Create reusable prompts
4. Package and distribute

Integration

Works with Claude Code, Cursor, and any MCP-compatible client.

When NOT to Use

• When a simpler HTTP client would suffice