A TypeScript-based server that allows calling other MCP clients from your own MCP client, facilitating task delegation and context window offloading for enhanced multi-agent interactions.
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Ask a question to a separate LLM, ignoring all the intermediate steps it takes when querying its tools, and return the output. Takes 'question' as a required parameter and returns the answer.
Takes a list of inputs and a main prompt, executing the prompt in parallel for each string in the input. Requires 'main prompt' and a list of 'inputs' (e.g., city names).
Processes multiple items in parallel and then sequentially reduces the results to a single output. Takes 'mapPrompt' with {item} for individual processing, 'reducePrompt' with {accumulator} and {result} for combining results, a list of 'items' to process, and an optional 'initialValue' for the accumulator.
