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A command-line tool prototype for semantic search of PyTorch documentation. Currently suspended due to design issues
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MCP Document Server
A document search and retrieval server based on the Model Context Protocol (MCP), supporting local storage and Confluence integration, providing semantic search capabilities, and extensible to multiple document services.
TypeScript
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2 points

Youtube MCP
YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.
Python
10.5K
2.5 points

MCP Memory Service (rust Implementation)
This is an MCP Memory Service implemented in Rust, providing memory storage and retrieval functions, supporting multiple storage backends and embedding models, and communicating with clients via the JSON-RPC protocol.
JavaScript
10.6K
2 points

Qdrant Vector Database
Semantic search system for code snippets based on Qdrant
10.1K
2.5 points

Memento
Memento MCP is a knowledge - graph - based LLM memory system that provides semantic retrieval, context recollection, and time awareness functions, supporting long - term persistent storage and efficient retrieval.
TypeScript
9.4K
2.5 points
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