关键词 "accurate response" 的搜索结果， 共 19 条, 只显示前 480 条
A Model Context Protocol (MCP) implementation enabling communication between an LLM and SQL Server. Allows users to query SQL databases using natural language and get structured SQL responses.
OmniLLM: A Model Context Protocol (MCP) server that enables Claude to access and integrate responses from multiple LLMs including ChatGPT, Azure OpenAI, and Google Gemini, creating a unified AI knowle
ProjectDocHelper is an MCP (Model Context Protocol) server designed to automatically generate project documentation and make it accessible to AI development tools like Cursor through MCP, thereby impr
An MCP server enhances AI responses with real-time search results via Higress ai-search.
🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Comb
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentati
A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations th
A Model Context Protocol (MCP) server that provides weather forecast data from the Government of Canada Weather API. Fetch accurate 5-day forecasts for any location in Canada by latitude and longitude
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
MCP Server for the Fillout.io API, enabling form management, response handling, and analytics.
A MCP server to search for accurate academic articles.
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
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.
MCP Server to connect your MCP host to V0.dev directly
<p>Overview Spark-TTS 是由出门问问（Mobvoi）联合多所顶尖学术机构（如香港科技大学、上海交通大学）最新推出的新一代语音合成模型，其核心创新在于BiCodec编码技术和与文本大模型的结构统一性，利用大型语言模型 (LLM) 的强大功能实现高度准确且自然的语音合成。</p> <p>Spark-TTS is an advanced text
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.
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