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Why this server?
Allows querying different language models and combining their responses for more comprehensive results, fitting the description of AI calling other AI.
Why this server?
This server provides LLMs access to other LLMs, directly addressing the request for AI to call other AI.
Why this server?
Enables multi-agent conversations through a standardized interface, allowing AI to interact with each other.
Why this server?
Enables LLMs to delegate complex research tasks to specialized AI agents coordinated by a Claude orchestrator, supporting AI calling other AI.
Why this server?
Enables AI agents to interact with multiple LLM providers, which allows easily switching between or using multiple AI models.
Why this server?
This server chains calls to other MCP tools, allowing sequential tool execution with result passing, useful for orchestrating multiple AI calls.
Why this server?
This server installs other MCP servers, enabling the dynamic setup of AI tool ecosystems.
Why this server?
A Model Context Protocol server that bridges AI assistants like Claude with Wordware's specialized agent capabilities, allowing dynamic loading and access to any Wordware flow through a standardized interface. Thus allowing an AI to control another AI workflow.
Why this server?
Every GenAIScript can be exposed as a MCP server automatically, effectively enabling AI to call other AI scripts.
Why this server?
Enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results.