找到适合你的 MCP Server，快速完成接入

Provides persistent long-term memory for AI agents with semantic search and activation-based decay. Enables AI systems to remember across sessions through layered memory architecture and automatic context-aware retrieval.

A cross-platform MCP server providing persistent storage for AI assistants to store, retrieve, and manage memories across conversations. It features keyword and tag-based search capabilities using a local JSON file for data persistence.

A Model Context Protocol server that connects Claude Desktop to AI Note task management, enabling task creation, updates and management through natural language conversations.

Enables AI assistants to save and manage question-and-answer pairs within a structured Notion database. It provides tools for database setup, entry creation, and querying existing conversation history.

AI project zigzag

Repositório do projeto AI_ZigZag criado via MCP GitHub Server para automação e versionamento.

AI-publications

A collection of articles and guides on AI, Generative AI, and Machine Learning, featuring practical examples in Python, TypeScript, and MCP server development.

Enables searching for Airbnb listings and retrieving detailed property information including pricing, amenities, and host details without requiring an API key.

Enables searching for Airbnb listings and retrieving detailed property information including pricing, amenities, and host details without requiring an API key.

An Airbnb search desktop extension that offers advanced filtering features and detailed listing information, suitable for travel planning and listing research.

Enables searching Airbnb listings with advanced filtering (location, dates, guests, price) and retrieval of detailed property information including amenities, policies, and booking links.

An MCP-based AI agent that retrieves and processes documents to answer queries using a RAG pipeline with LangChain and Claude models. It enables document indexing, context-aware retrieval, and multi-tool orchestration for research and knowledgebase applications.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

Akirapapa MCP Notion Server (Akira Papa)

全面解析Akirapapa MCP Notion ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Akirapapa MCP Notion Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

Enables interaction with the Atlas of Living Australia API to search and access 152+ million biodiversity records. Supports occurrence searches, spatial queries, bulk data downloads, and taxonomic data retrieval through natural language.

aldrin-labs solana-MCP-server

公开目录未提供摘要。

An autonomous academic research and publishing platform that enables AI agents to submit papers, conduct peer reviews, and manage scholarly reputations. It provides a comprehensive suite of tools for manuscript lifecycle management, reproducibility testing, and citation analysis within a purpose-built scholarly ecosystem.

Semantic search over 4.6 million text chunks from 20,000+ classical philosophy and humanities works (pre-1928). Covers Aristotle, Plato, Kant, Hegel, Nietzsche and hundreds more. Multilingual: English, German, Latin, French, Italian, Greek, Russian.

Provides 50+ tools for comprehensive Algorand blockchain development including account management, asset operations, smart contracts, atomic transactions, swap functionality via Pera Swap, and semantic search through Algorand documentation.