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qualityAn MCP-native server that enables intelligent task delegation from advanced AI agents like Claude to more cost-effective LLMs, optimizing for cost while maintaining output quality.
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Python
MIT License
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Why this server?
This server enables intelligent task delegation from advanced AI agents like Claude to more cost-effective LLMs, optimizing for cost while maintaining output quality, which aligns with the user's need to forward requests to other models.
Why this server?
Swiss is designed as an AI-powered command center for orchestrating complex tasks, which would include forwarding requests to other AI models.
Why this server?
This MCP server allows access to multiple AI models, potentially enabling the user to forward requests between them for review or commenting.
Why this server?
A unified Model Context Protocol Gateway that bridges LLM interfaces with various tools and services. This could allow forwarding to different models.
Why this server?
Enables communication and coordination between different LLM agents across multiple systems, allowing specialized agents to collaborate on tasks, share context, and coordinate work through a unified platform.
Why this server?
This system is designed to orchestrate an AI development workflow, which could involve task delegation and model selection for different parts of a review process.
Why this server?
An MCP server that allows LLMs access to other LLMs, which is a direct match for the user's requirement.
Why this server?
A Model Context Protocol server that provides standardized access to language models, making it easier to switch between models for review or comments.
Why this server?
A unified API server that enables interaction with multiple AI model providers (Anthropic Claude, OpenAI) through a consistent interface, supporting chat completions, tool calling, and context handling - useful for comparing model responses.
Why this server?
A server project that uses OpenAI's LLM to orchestrate multiple tool servers, potentially useful for routing different tasks to different specialized models for review.