Bridges the Daycare API into Model Context Protocol (MCP)-compatible tools by dynamically parsing its OpenAPI specification to expose discoverable and callable endpoints for AI agents.
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The Daycare tool functions as a remote MCP server that dynamically integrates the Daycare API with various MCP-compatible clients. It achieves this by parsing the API's OpenAPI 3.x specification at runtime, eliminating the need for hardcoded tool definitions. This setup exposes three powerful, consolidated MCP tools—`list_endpoints`, `get_endpoint_details`, and `call_endpoint`—that empower AI agents to seamlessly discover API functionalities, retrieve detailed endpoint schemas, and execute HTTP requests against the real API without prior explicit configuration. Clients connect over HTTP using the Streamable HTTP MCP transport.
Características Principales
01Exposes `list_endpoints` tool for API discovery and filtering
02Provides `get_endpoint_details` tool for comprehensive endpoint schema retrieval
03Offers `call_endpoint` tool for executing HTTP requests against the real API
04Dynamic API integration via runtime OpenAPI spec parsing
05Supports Streamable HTTP for MCP client communication
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Casos de Uso
01Automating API discovery and invocation for AI-driven workflows
02Enabling AI agents to programmatically interact with the Daycare API
03Providing remote teams with a standardized interface to the Daycare API via MCP