关键词 "concise responses" 的搜索结果， 共 20 条, 只显示前 480 条
MCPilot is an AI chatbot that integrates real-time tools like DuckDuckGo, Airbnb, and weather APIs. Built with MCP Servers, Gradio, and GROQ, it provides context-aware responses and smooth interaction
A Model Control Protocol (MCP) server that allows cross-checking responses from multiple LLM providers simultaneously
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherenc
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel A
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.
A concise list for mcp servers
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
🧠 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 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.
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
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