Browse Code
HasMCP empowers AI development by seamlessly connecting your existing APIs to Large Language Models. Its Automated OpenAPI Mapping instantly translates API documentation into LLM-usable tools, eliminating manual coding. Security is paramount, with Native MCP Elicitation Auth managing complex authentication flows like OAuth2, ensuring user credentials are never exposed. To enhance efficiency, Context Window Optimization intelligently prunes API responses using JMESPath and Goja (JS) logic, dramatically reducing costs and improving response times.
The platform is built for dynamic environments; Real-time Dynamic Tooling allows the system to adapt on the fly as APIs change or go offline. For robust security, it includes Secure Secret & Gateway Management to safeguard sensitive credentials in an encrypted vault. MCP Composition enables the construction of high-performance, modular AI systems. Finally, comprehensive Observability & Telemetry tools offer deep insights into tool usages.
Features
- Automated OpenAPI Mapping converts OpenAPI/Swagger to LLM-understandable MCP
- Native MCP Elicitation Auth securely handles OAuth2 authentication for LLMs
- Context Window Optimization uses JMESPath and Goja (JS) to prune API responses
- Real-time MCP Dynamic Tooling updates LLM tools dynamically, enhancing agility
- Secure Secret & Proxy Management provides an encrypted vault for API keys and flexible data proxying
- MCP Composition enables high-performance, modular AI workflows
- Realtime logs allows payload inspection for monitoring and debugging
- Observability & Telemetry provides tool analytics, user governance, token economics
Project Samples
