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HAP MCP Server

MCP Server

Seamless AI integration for enterprise apps via HAP API tools

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Updated Jul 3, 2025

About

The HAP MCP Server provides a production‑ready Model Context Protocol interface built on FastMCP, enabling developers to access HAP (Hyper Application Platform) APIs—such as worksheet and role management—directly from AI tools like cursor. It supports stdio and HTTP transports with full TypeScript support.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

HAP (Hyper Application Platform) is an APaaS solution from Mingdao that empowers enterprises to build sophisticated, no‑code applications. The HAP MCP server bridges these enterprise apps with AI assistants such as Claude, enabling developers to embed rich application logic directly into conversational workflows. By exposing HAP’s full API surface through the Model Context Protocol, the server solves a common pain point: integrating complex, data‑centric business processes into AI‑driven interfaces without writing custom adapters or maintaining separate backend services.

The server ships as a production‑ready MCP implementation that supports both stdio and HTTP transports, giving teams flexibility to deploy it locally for debugging or in a cloud environment for high‑availability workloads. Built on the FastMCP framework, it delivers low latency and robust error handling while maintaining full TypeScript type safety. Once configured in an MCP client (e.g., Cursor), developers can invoke any HAP API tool directly from the chat, treating the application as a first‑class AI resource. This eliminates the need for manual API calls or SDK integration, streamlining development cycles and reducing runtime errors.

Key capabilities include a comprehensive set of 28 tools that cover every aspect of worksheet management—adding, updating, deleting records; listing and filtering data; creating new worksheets; and generating share links. Advanced utilities expose application metadata, linked worksheet queries, record logs, and role management functions, allowing AI assistants to perform complex business logic such as audit trails or permission checks. The extensible architecture lets teams add custom tools, resources, and prompts, tailoring the server to unique organizational workflows.

Real‑world scenarios are plentiful: a customer support chatbot can automatically pull ticket data from a HAP worksheet, update status records on user commands, and generate shareable links for internal tracking; a sales AI can batch‑create leads, retrieve pivot analytics, and enforce role‑based access controls—all within a single conversational session. By integrating HAP’s powerful data engine into AI assistants, developers unlock instant, secure access to enterprise data, dramatically reducing the time from idea to deployment.