claude mcp add data-science-ai-mcp -- uvx data-science-ai-mcp
{
"mcpServers": {
"data-science-ai-mcp": {
"command": "uvx",
"args": ["data-science-ai-mcp"]
}
}
}
{
"mcpServers": {
"data-science-ai-mcp": {
"command": "uvx",
"args": ["data-science-ai-mcp"]
}
}
}
{
"mcpServers": {
"data-science-ai-mcp": {
"command": "uvx",
"args": ["data-science-ai-mcp"]
}
}
}
About This MCP Server
The Model Context Protocol server is a developer tool that provides Data Science Ai capabilities, including feature importance and model comparison, to support AI agents. It connects to AI coding assistants through standard input/output interfaces, enabling developers to leverage its features when building and evaluating machine learning models. Developers would use this tool when they need to analyze and compare the performance of different models or understand the importance of specific features in their data.
Data Science Ai tools for AI agents. Capabilities: feature importance, model comparison, dat.... This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
data-science-ai-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 data-science-ai-mcp server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
