The no-code bridge between your OpenAPI specs and LLM-ready tools. Optimize payloads, manage secrets, and handle OAuth2 without writing a single line of server code.
See how HasMCP works in 30 seconds ↑
HasMCP is engineered to solve the "LLM-to-API" gap. We provide a hardened, zero-code environment to deploy Model Context Protocol (MCP) servers with enterprise requirements.
Instantly transform OpenAPI 3.0/3.1 and Swagger definitions into structured MCP tools. Our engine automatically generates tool schemas, parameter descriptions, and type-safe payloads so LLMs can consume your endpoints with 100% accuracy and zero manual boilerplate.
Solve the authentication barrier with OAuth2 Elicitation. HasMCP implements the Model Context Protocol auth lifecycle, allowing your server to dynamically prompt users for credentials. Securely exchange tokens just-in-time for API calls without ever exposing sensitive user keys to the model context window.
Reduce LLM inference costs and latency. Use high-speed JMESPath filters to prune massive JSON responses or write Goja-powered JavaScript Interceptors to sanitize data. By stripping unnecessary fields, you reduce token consumption by up to 90%, ensuring your agents focus only on relevant data.
Enable agile agentic workflows with
tool_changed event support. HasMCP monitors your underlying API health and schema
changes, notifying connected LLMs of new capabilities or structural updates instantly. No server
restarts or manual client re-indexing required for tool discovery.
Centralize your API security. Manage environment variables, API keys, and proxy headers via an encrypted vault. HasMCP ensures that incoming headers are securely passed to your upstream SaaS endpoints while remaining completely invisible to the LLM agent layer.
Future-proof your architecture. We are currently developing native gRPC support for high-speed streaming and MCP Composition, allowing you to bridge multiple discrete MCP servers into a unified, intelligent API mesh for complex multi-agent reasoning.
Standard API gateways add significant overhead. HasMCP uses a dual-engine approach to ensure your MCP servers are lightning-fast and token-efficient.
For pure data projection and filtering, JMESPath is the gold standard. It provides a powerful query language for JSON with zero execution overhead. Prune massive 100KB responses down to a few hundred bytes of context-ready data in microseconds.
When your data needs complex mutations, stateful transformations, or conditional logic, use our embedded Goja engine. Write pure JavaScript that executes directly within the proxy context—no Node.js cold starts, just raw performance.
Aggregate call frequency and identify the most valuable endpoints in your MCP mesh over time.
Track unique identities calling your tools. Essential for per-seat billing and auditing usage across departments.
Quantify the savings achieved through HasMCP response pruning and encoding protocols.
"Save an average of $4,200 per month in LLM context costs for enterprise SaaS agents."
From individual hackers to global SaaS enterprises with high-throughput tool-calling needs.