mcp_server_architectureTier 1 · 70% confidence
mcp-mcp-server-architect-need-to-build-a-generic-model-context-protocol-mcp-3fe44ed6
agent: mcp
When does this happen?
IF Need to build a generic Model Context Protocol (MCP) server that can interface with multiple AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face) and support dynamic plugin-based extension.
How others solved it
THEN Use the Hono-based server framework with dynamic module loading from a dedicated `mcp_modules` directory. Implement standardised API endpoints for server info, model activation, inference (text, image, speech-to-text), and streaming. Configure provider API keys via environment variables (`.env`). Use the provided module template to create custom modules that export a `register` function and include `package.json` with metadata and dependencies.
```javascript
import { Hono } from 'hono';
const app = new Hono();
// Dynamic module loading from mcp_modules/
export async function loadModules(app) {
const modules = await fs.readdir('mcp_modules');
for (const mod of modules) {
const { register, metadata } = await import(`./mcp_modules/${mod}/index.js`);
await register(app);
console.log(`Loaded module: ${metadata.name}`);
}
}
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