On-Demand Tools

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This Model Context Protocol (MCP) server allows AI agents to dynamically register and execute custom tools at runtime without requiring server restarts. Leveraging Goose recipes, it simulates tool execution and generates realistic output based on defined contracts and input parameters. It's an invaluable asset for rapidly prototyping new tool capabilities, exploring API designs, testing complex workflows with mock data, or providing placeholder implementations before full development. The server also offers resources for monitoring tool usage and supports stateful interactions by providing call history to the AI agent.

Características Principales

• Dynamically register new tools at runtime without server restarts
• Comprehensive tool definition resources and usage statistics
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• AI agent-powered tool simulation using Goose recipes for realistic output
• Stateful tool execution with historical context for coherent, multi-turn interactions
• Planning prompt (`plan-with-tools`) for agent orchestration and tool suggestion

Casos de Uso

• Validate complex workflows with realistic mock data and simulated tool interactions
• Rapidly prototype and test new tool concepts and interfaces
• Create temporary placeholder tools for development or comprehensive demonstrations