关键词 "Technical specification" 的搜索结果, 共 15 条, 只显示前 480 条
A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request exe
OpenAPI specifications => MCP (Model Context Protocol) tools
MCP Server (Model Context Protocol) for turning OpenAPI specifications into a MCP Resource
The VanMoof MCP Server implements the MCP specification to create a seamless connection between AI agents and key VanMoof services like VanMoof customer data, including bike details, VanMoof rider cit
An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.
The OpenAPI to Model Context Protocol (MCP) proxy server bridges the gap between AI agents and external APIs by dynamically translating OpenAPI specifications into standardized MCP tools. This simplif
ReqRefine is an MCP server that enhances requirement gathering through strategic questioning. It guides users to reveal comprehensive needs, uncovers implicit requirements, and transforms dialogue int
Convert OpenAPI specifications to MCP server ready tools
A Model Context Protocol server implementation providing mathematical operations through a standardized interface. Built with TypeScript and Node.js, this server demonstrates how to create and expose
This implementation follows the official MCP specification, including proper message framing, transport layer implementation, and complete protocol lifecycle management. It provides a foundation for b
MCP server to interact with the DocumentDB database and perform basic operations. The module has some specifications, based on the business rule we are working on, to manage product catalogs.
Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different
Kiro是一款Agentic IDE——简单来说,它不仅是一个AI编码助手,更是一个帮你从灵感到上线、从混乱到清晰的开发搭档。 它不仅擅长“Vibe Coding”,更强大之处在于:它能将这些原型,推进到真正可上线的系统。而这一切,都依赖于两个核心能力:Specs(Specification)和Hooks(自动化触发器)。 vide coding和spec-driven develo
微软研究院的一个研究团队探索了使用主动式强化学习(agentic reinforcement learning)来实现这一目标,也就是说,模型会与专用工具环境中的工具进行交互,并根据收到的反馈调整其推理方式。而他们的探索成果便是 rStar2-Agent,这是一种强大的主动式强化学习方法。使用该方法,这个微软团队训练了一个 14B 的推理模型 rStar2-Agent-14B—— 该模型达到前沿级
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