claude mcp add narkitty1-semantic-frame -- uvx semantic-frame
{
"mcpServers": {
"narkitty1-semantic-frame": {
"command": "uvx",
"args": ["semantic-frame"]
}
}
}
{
"mcpServers": {
"narkitty1-semantic-frame": {
"command": "uvx",
"args": ["semantic-frame"]
}
}
}
{
"mcpServers": {
"narkitty1-semantic-frame": {
"command": "uvx",
"args": ["semantic-frame"]
}
}
}
About This MCP Server
The semantic-frame tool is a Model Context Protocol server that enables token-efficient semantic compression for numerical data, allowing for a significant reduction in tokens, typically over 95 percent. It is available on pypi and can be used with stdio, making it a useful resource for developers working with numerical data and looking to optimize their token usage. Developers would reach for this tool when they need to compress numerical data while preserving its semantic meaning, and can integrate it into their workflow through its repository on github.
Token-efficient semantic compression for numerical data. 95%+ token reduction.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
semantic-frame 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 semantic-frame server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
