claude mcp add michael-denyer-hot-memory-mcp -- uvx hot-memory-mcp
{
"mcpServers": {
"michael-denyer-hot-memory-mcp": {
"command": "uvx",
"args": ["hot-memory-mcp"]
}
}
}
{
"mcpServers": {
"michael-denyer-hot-memory-mcp": {
"command": "uvx",
"args": ["hot-memory-mcp"]
}
}
}
{
"mcpServers": {
"michael-denyer-hot-memory-mcp": {
"command": "uvx",
"args": ["hot-memory-mcp"]
}
}
}
About This MCP Server
The hot-memory-mcp server is a search tool that utilizes a two-tier memory system, consisting of a hot cache for immediate access and a semantic search capability for more complex queries. It is designed to be self-organizing, allowing it to adapt to changing data and query patterns, and can be accessed through standard input/output interfaces. Developers may reach for this tool when they need a fast and flexible search system that can handle a wide range of data types and query structures.
Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the stdio transport.
Package
hot-memory-mcp on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The hot-memory-mcp server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.
