Causal Reasoning MCP Server

Example Use Cases

• 1

  Evaluate causal reasoning capabilities in large language models.

• 2

  Generate and test causal inference scenarios across multiple domains.

• 3

  Integrate causal reasoning tasks into MCP-compatible workflows.

Description

This MCP server implements causal reasoning tasks based on collider graphs involving two independent causes and one effect, supporting three domains: economics, meteorology, and sociology. It enables evaluation of causal reasoning in LLMs by generating prompts to query the likelihood of causes or effects given certain states. The server integrates with Windsurf via MCP configuration and provides a tool called evaluate_causal_reasoning for flexible scenario testing.