Context Switcher
Enables multi-perspective analysis of problems by orchestrating parallel evaluation from various viewpoints using a Model Context Protocol (MCP) server.
About
Context Switcher is a powerful Model Context Protocol (MCP) server designed to overcome single-perspective thinking. It orchestrates parallel evaluation of problems through multiple, distinct viewpoints, allowing each perspective to contribute insights or abstain when not relevant. This approach facilitates comprehensive analysis, synthesizing patterns and connections across diverse angles like technical, business, user experience, and risk, or even custom-defined perspectives. Battle-tested and production-ready, it integrates seamlessly with major LLM providers like AWS Bedrock, LiteLLM, and Ollama, making it a critical component of cognitive AI platforms.
Key Features
- Multi-Provider Support (AWS Bedrock, LiteLLM, Ollama)
- Custom and Default Perspectives (Technical, Business, User, Risk)
- Flexible Abstention for irrelevant perspectives
- Session Management for maintaining context
- Parallel Perspective Analysis with thread orchestration
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Use Cases
- Analyzing database architecture choices with diverse viewpoints
- Debugging complex issues like slow API response times by adding specific perspectives
- Evaluating feature implementations (e.g., real-time notifications)
