Show HN: JitAPI – An MCP server that treats OpenAPI specs as dependency graphs (github.com)

JitAPI has emerged as a groundbreaking MCP server that empowers Large Language Models (LLMs) like Claude to interact seamlessly with any API by leveraging OpenAPI specifications. Rather than inundating the model with entire API architectures, JitAPI utilizes semantic search and dependency graphs to dynamically discover and utilize only the necessary endpoints for specific tasks. This innovative approach not only streamlines API interactions but also enhances efficiency by enabling LLMs to execute workflows with automatic parameter extraction and passing. The significance of JitAPI lies in its ability to facilitate multi-step API workflows through LLMs, essentially enabling complex tasks to be performed with straightforward natural language commands. By incorporating features such as automatic detection of endpoint dependencies and support for multiple APIs simultaneously, JitAPI marks a significant advancement in API orchestration. Technical details reveal a sophisticated pipeline where OpenAPI specs are parsed, enabling real-time semantic searches and parameter mapping, which translates user queries directly into actionable workflows. This tool can greatly simplify development processes and expand the capabilities of AI applications, making it a critical development for the AI/ML community aiming for more integrated and accessible technology solutions.