Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.
Enables LLMs to interact with any REST API that has an OpenAPI specification by providing a lightweight MCP server that translates between natural language and API calls.
A bridge that exposes any GraphQL API as tools consumable by Large Language Models via the Model Context Protocol (MCP), automatically discovering and translating API capabilities with zero maintenance required.
Bridges LLM clients with existing RESTful microservices by converting MCP tool calls into REST requests, enabling any REST API to be used as an MCP tool without modifying the microservices.
A bridge allowing AI/LLMs to seamlessly interact with external APIs for weather, finance, and news services through a standardized MCP-compliant interface.