mcp-omnisearch
Version:
MCP server for integrating Omnisearch with LLMs
26 lines (25 loc) • 1.35 kB
JavaScript
import { ErrorType, ProviderError, } from '../../common/types.js';
import { ExaAnswerProvider } from '../ai_response/exa_answer/index.js';
import { KagiFastGPTProvider } from '../ai_response/kagi_fastgpt/index.js';
import { PerplexityProvider } from '../ai_response/perplexity/index.js';
export class UnifiedAISearchProvider {
constructor() {
this.name = 'ai_search';
this.description = 'AI-powered search with reasoning. Supports perplexity (real-time + reasoning), kagi_fastgpt (quick answers), exa_answer (semantic AI).';
this.providers = new Map();
this.providers.set('perplexity', new PerplexityProvider());
this.providers.set('kagi_fastgpt', new KagiFastGPTProvider());
this.providers.set('exa_answer', new ExaAnswerProvider());
}
async search(params) {
const { provider, ...searchParams } = params;
if (!provider) {
throw new ProviderError(ErrorType.INVALID_INPUT, 'Provider parameter is required', this.name);
}
const selectedProvider = this.providers.get(provider);
if (!selectedProvider) {
throw new ProviderError(ErrorType.INVALID_INPUT, `Invalid provider: ${provider}. Valid options: ${Array.from(this.providers.keys()).join(', ')}`, this.name);
}
return selectedProvider.search(searchParams);
}
}