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New framework unifies AI agent tools and streaming APIs

Researchers have developed HarnessAPI, a Python framework designed to streamline the creation of tools for AI agents and traditional HTTP clients. This framework uses a typed skill folder as the single source of truth, automatically generating both a streaming HTTP endpoint with Server-Sent Events and an MCP tool registration for agent runtimes like Claude and Cursor. HarnessAPI aims to eliminate code duplication and ensure consistency between the two representations, reducing boilerplate code by 74% in tested scenarios. AI

影响 Simplifies development for AI agents by unifying tool creation and API endpoints.

排序理由 The cluster contains an academic paper detailing a new software framework. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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  1. arXiv cs.AI TIER_1 English(EN) · Edwin Jose ·

    HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools

    Every Python function deployed as an LLM tool must today exist in two forms: an HTTP endpoint for human-facing clients and CI pipelines, and an MCP tool registration for agent runtimes such as Claude and Cursor. These representations share business logic yet diverge in all the su…