关键词 "return request responses" 的搜索结果, 共 14 条, 只显示前 480 条
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
An MCP Server for WolframAlpha's LLM API, able to return structured knowledge & solve math
MCP Server for skrape.ai, lets you input any URL and it returns clean markdown for the LLM
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contex
An MCP server that enables searches within Obsidian vaults using the Omnisearch plugin API. Returns absolute paths to matching notes for seamless integration. 🚀
This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calend
A Python-based Model Context Protocol (MCP) client and server that enables LLMs to send notifications via Telegram and receive user responses.
An MCP server that enables communication with users through Telegram. This server provides a tool to ask questions to users and receive their responses via a Telegram bot.
It consistently responds with "Ranger!" to any MCP tool request it receives via standard input/output.
Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream)
minion-agent的开源项目为开发者们提供了一个全新的AI智能体开发框架。 minion-agent的核心价值在于优雅地解决了「框架碎片化」的问题,开发者想要开发一款AI智能体的话,需要在OpenAI、LangChain、Google AI以及SmolaAgents等多种框架间切换,因为每种框架都有其独特的优势和局限性,也是当前AI智能体开发中的主要阻碍。 minion-agent通过提供
🚀🤖 Crawl4AI:开源 LLM 友好型网络爬虫和抓取工具。 Crawl4AI 是 GitHub 上排名第一的热门代码库,由充满活力的社区积极维护。它提供速度超快、AI 就绪的 Web 爬取功能,专为 LLM、AI 代理和数据管道量身定制。Crawl4AI 开源、灵活,专为实时性能而构建,为开发者提供无与伦比的速度、精度和部署便捷性。 ✨ 查看最新更新 v0.6.0 🎉 0.6.
Pyrefly 是一款快速的 Python 类型检查器,计划在 2025 年底取代 Meta 现有的 Pyre 类型检查器。 Pyrefly 旨在通过 IDE 功能和检查 Python 代码来提高开发速度。 主要特点: 类型推断:除了函数参数之外,Pyrefly 可以在大多数位置推断类型。它可以推断变量的类型和返回类型。 Flow Types:Pyrefly 可以理解程序的控制流以细化
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