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smart-thinking-mcp

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Un serveur MCP avancé pour le raisonnement multi-dimensionnel, adaptatif et collaboratif

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export type TermVector = Record<string, number>; export declare class SimilarityEngine { private readonly stopWords; private readonly tokenCache; private readonly cacheExpiration; constructor(); private normalize; private tokenize; private computeTermFrequency; private computeInverseDocumentFrequency; private buildVector; private buildVectorsFromTokens; calculateCosineSimilarity(vectorA: TermVector, vectorB: TermVector): number; generateVectors(texts: string[]): Promise<TermVector[]>; getVector(text: string, corpus?: string[]): Promise<TermVector>; findSimilarTexts(referenceText: string, candidateTexts: string[], limit?: number, threshold?: number): Promise<Array<{ text: string; score: number; }>>; calculateTextSimilarity(textA: string, textB: string): Promise<number>; }