claude mcp add aseebhalid1507-velocirag -- uvx velocirag
{
"mcpServers": {
"aseebhalid1507-velocirag": {
"command": "uvx",
"args": ["velocirag"]
}
}
}
{
"mcpServers": {
"aseebhalid1507-velocirag": {
"command": "uvx",
"args": ["velocirag"]
}
}
}
{
"mcpServers": {
"aseebhalid1507-velocirag": {
"command": "uvx",
"args": ["velocirag"]
}
}
}
About This MCP Server
The velocirag server is a search tool that enables lightning-fast retrieval for AI agents, utilizing a 4-layer fusion approach and ONNX Runtime to achieve sub-200ms search times. It connects to AI coding assistants through standard input/output interfaces, allowing developers to integrate it into their workflows. Developers would reach for velocirag when they need to quickly retrieve information or context for their AI agents, particularly in applications where speed and efficiency are crucial.
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the stdio transport.
Package
velocirag 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 velocirag server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.
