HasMCP

## Introduction HasMCP is a no-code server framework and gateway designed to bridge the significant "LLM-to-API" gap, enabling seamless integration of large language models (LLMs) with existing APIs. It provides a hardened, zero-code environment for deploying Model Context Protocol (MCP) servers, meeting enterprise requirements for security, performance, and scalability. The platform allows users to turn any API into an MCP server in seconds, optimizing payloads, managing secrets, and handling OAuth2 authentication without requiring any server-side coding. The core mission of HasMCP is to simplify the process of making traditional APIs consumable by LLMs and AI agents. By automating the transformation of OpenAPI specifications into structured MCP tools, it eliminates manual boilerplate and ensures 100% accuracy in LLM consumption of endpoints. This approach significantly reduces the complexity and development time associated with building robust, agentic workflows. HasMCP is engineered to address critical challenges such as authentication barriers, context window optimization, and real-time tooling updates. It aims to reduce LLM inference costs and latency by pruning unnecessary data from API responses and provides comprehensive observability into the agentic layer, including tool call analytics, user governance, and token economics. The platform is continuously evolving, with upcoming support for gRPC and MCP Composition to further enhance its capabilities for complex multi-agent reasoning. ## Key Features - **Automated OpenAPI Mapping**: Instantly transforms OpenAPI 3.0/3.1 and Swagger definitions into structured MCP tools, automatically generating tool schemas, parameter descriptions, and type-safe payloads for LLM consumption. - **Native MCP Elicitation Auth**: Implements the Model Context Protocol auth lifecycle, enabling dynamic prompting for user credentials and securely exchanging OAuth2 tokens just-in-time for API calls without exposing sensitive keys to the model context. - **Context Window Optimization**: Reduces LLM inference costs and latency by using high-speed JMESPath filters to prune massive JSON responses or Goja-powered JavaScript Interceptors to sanitize data, potentially reducing token consumption by up to 90%. - **Real-time Dynamic Tooling**: Supports `tool_changed` events, allowing HasMCP to monitor underlying API health and schema changes, instantly notifying connected LLMs of new capabilities or structural updates without server restarts. - **Secure Secret & Proxy Management**: Centralizes API security by managing environment variables, API keys, and proxy headers via an encrypted vault, ensuring secure passing of incoming headers to upstream SaaS endpoints while remaining invisible to the LLM agent layer. - **High-Throughput Interceptors (JMESPath & Goja)**: Offers a dual-engine approach for performance, utilizing JMESPath for zero-latency data projection and filtering, and an embedded Goja (JavaScript) engine for procedural logic, offering unparalleled flexibility and speed. ## Target Users - **AI/LLM Developers**: Individuals building applications that leverage large language models and need to connect them to existing APIs efficiently and securely. - **Enterprise SaaS Providers**: Companies looking to expose their APIs to AI agents and LLMs without extensive re-engineering, ensuring compliance and security. - **API Providers**: Organizations that want to make their APIs "LLM-ready" and easily discoverable by AI systems, expanding their reach and utility. - **Data Engineers/Scientists**: Professionals who need to optimize data payloads for LLM consumption, reducing inference costs and improving model performance. - **Platform Engineers**: Teams responsible for managing API gateways and infrastructure, seeking a no-code solution for integrating AI capabilities. ## Unique Selling Points - **No-Code API to MCP Server Gateway**: Transforms any API into an MCP server without writing a single line of server code, significantly accelerating development. - **Significant Cost & Latency Reduction**: Achieves up to 90% reduction in token consumption and an average saving of 62.4% per call through context window optimization, leading to substantial cost savings (e.g., $4,200/month for enterprises). - **Advanced Security & Authentication**: Provides native MCP Elicitation Auth with OAuth2 and secure secret/proxy management, ensuring sensitive data is never exposed to the LLM context window. - **Dual-Engine High-Throughput Interceptors**: Combines zero-latency JMESPath & JS