Hyperterse is an open-source server framework for declaring and deploying AI agents, MCP tools, resources, and prompts in one runtime. It supports A2A HTTP, MCP discovery and execution, model-provider integrations, authentication, caching, and OpenTelemetry for developers operating agentic services.
Hyperterse is a Frameworks & runtimes project. It focuses on building and operating interoperable AI agents, tools, prompts, and resources without separate runtime stacks. Hyperterse is an open-source project aimed at developers building AI agents and MCP-compatible services. Hyperterse is open source under the Apache-2.0 license. It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by Hyperterse, and it first shipped in 2026. The project is developed in the open on GitHub with 84 stars. Among its 11 catalogued features are Declarative Agents, MCP Tools, and MCP Resources. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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