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Vector Search — In-Memory TF-IDF Semantic Store vs madbonez/caldav-mcp

Сравнение двух MCP-серверов по фактам. Выбери подходящий для Claude Desktop, Claude Code или Cursor.

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight…

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Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV),

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Сравнение

ПараметрVector Search — In-Memory TF-IDF Semantic Storemadbonez/caldav-mcp
ЦенаFreeFree
Установки
Рейтинг
Проверен
HostedHosted
Инструменты
Категорияproductivityproductivity
Авторaxel-belfortmadbonez
Репозиторийmadbonez/caldav-mcp

Когда выбрать Vector Search — In-Memory TF-IDF Semantic Store

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datasets. Tools: data_vector_search. Use this for building simple RAG systems, document matching, or semantic search over small collections (< 10K docs). IMPORTANT: For web-wide search, use web_search_query instead. Returns: {results[], scores[], matchCount}. No API key required — x402 micropayment $0.005/call on Base L2.

Когда выбрать madbonez/caldav-mcp

Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV), Nextcloud, ownCloud, Apple iCloud, and others. Supports creating events with recurrence, categories, priority, attendees, reminders, searching events, and retrieving events by UID.

Ищешь что-то другое? Весь каталог MCP или в тренде на неделе.