Enables dynamic registration and AI-powered simulation of custom tools for Model Context Protocol (MCP) agents.
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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.
Key Features
01Dynamically register new tools at runtime without server restarts
02Comprehensive tool definition resources and usage statistics
030 GitHub stars
04AI agent-powered tool simulation using Goose recipes for realistic output
05Stateful tool execution with historical context for coherent, multi-turn interactions
06Planning prompt (`plan-with-tools`) for agent orchestration and tool suggestion
Use Cases
01Validate complex workflows with realistic mock data and simulated tool interactions
02Rapidly prototype and test new tool concepts and interfaces
03Create temporary placeholder tools for development or comprehensive demonstrations
