Hyperterse
Open-source framework for building MCP tool servers declaratively — define tools with SQL, get auth and caching built-in.
| What is it | Open-source framework for building MCP tool servers declaratively — define tools with SQL, get auth and caching built-in. |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| API | Yes |
| Best for | building MCP servers for AI assistants, exposing database queries as AI tools |
| Domain registered | 2025 |
Data updated Aug. 1, 2026
What does Hyperterse do?
Hyperterse is an open-source framework for building Model Context Protocol (MCP) tool servers using declarative configuration. Instead of writing extensive boilerplate code, developers define their tools through declaration files containing SQL statements, typed inputs, and configuration for authentication and caching. The framework then compiles these declarations into a fully functional MCP server that exposes exactly two tools: search and execute. This allows AI agents to dynamically discover and run available tools without needing to know about each individual endpoint beforehand.
The framework handles the complex infrastructure concerns automatically. It provides built-in authentication through API keys or custom plugins, result caching with TTL settings, OpenTelemetry observability with tracing and metrics, and manages database connections for PostgreSQL, MySQL, MongoDB, and Redis. Hyperterse validates inputs, handles errors, and manages connection pooling and graceful shutdown, allowing developers to focus on defining their tool logic rather than infrastructure code.
Hyperterse is particularly valuable for developers building AI agent systems that need to interact with databases or external services. It enables teams to quickly expose hundreds of tools to AI assistants while maintaining security and performance. The declarative approach means adding new tools doesn't require code changes to the agent integration, making it ideal for production systems where tooling needs to evolve rapidly alongside AI capabilities.
Key features
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