Causal MCP

v1.0.0Data Science & MLstable

An MCP server for causal effect estimation from observational data, powered by CausalPFN and EconML. It enables users to estimate treatment effects, compare models, and rank units for targeting through natural language queries on CSV data.

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What is Causal MCP?

Causal MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for causal effect estimation from observational data, powered by causalpfn and econml. it enables users to estimate treatment effects, compare models, and rank units for targeting through n...

An MCP server for causal effect estimation from observational data, powered by CausalPFN and EconML. It enables users to estimate treatment effects, compare models, and rank units for targeting through natural language queries on CSV data.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • An MCP server for causal effect estimation from observationa

Use Cases

Estimate causal treatment effects from observational CSV data.
Compare causal models and rank units for targeting through natural language.
mohitkr

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx causalmcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Causal MCP

What is Causal MCP?

Causal MCP is a Model Context Protocol (MCP) server that mcp server for causal effect estimation from observational data, powered by causalpfn and econml. it enables users to estimate treatment effects, compare models, and rank units for targeting through natural language queries on csv data. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Causal MCP?

Follow the installation instructions on the Causal MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Causal MCP?

Causal MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Causal MCP free to use?

Yes, Causal MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "causalmcp": { "command": "npx", "args": ["-y", "causalmcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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