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by alex-feel • Uncategorized
A high-performance MCP server for persistent multimodal context storage and sharing among LLM agents.
Share and persist multimodal context across tasks using thread-based scoping.
Advanced search capabilities including full-text, semantic, and hybrid search with reranking.
Automatic LLM-generated summaries to improve context relevance and retrieval efficiency.
The MCP Context Server provides persistent storage for both text and images, enabling multiple LLM agents to share context through thread-based scoping. It supports flexible metadata filtering, full-text, semantic, and hybrid search capabilities, and automatic LLM-based summary generation for efficient context retrieval. The server is production-ready with multiple database backends, high concurrency support, and compliance with the MCP standard.
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