关键词 "text-based prompts" 的搜索结果， 共 24 条, 只显示前 480 条
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
A beginner-friendly guide server that helps users understand MCP concepts, provides interactive examples, and demonstrates best practices for building MCP integrations. Features tools for exploring MC
Ask users questions from your LLM! interactive-mcp: Local, cross-platform MCP server for interactive prompts, chat & notifications.
An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters,
A clean architecture MCP server implementation with support for multiple transports (SSE and STDIO). Provides extensible tools, resources, and prompts following SOLID principles for real-time AI model
The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (t
orchestrate & combine prompts + MCP servers into compound MCP tools
URL MCP is a proof of concept stateless MCP server builder that allows users to build MCP servers without writing or hosting code. It's intended for protocol and security experimentation rather than f
MCP server for AI image generation and editing using Google's Gemini Flash models. Create images from text prompts with intelligent filename generation and strict text exclusion. Supports text-to-imag
The Shodan MCP Server by ADEO Cybersecurity Services provides cybersecurity professionals with streamlined access to Shodan's powerful reconnaissance capabilities through an intuitive Model Context Pr
MCP Server implementation of the DnD 5e API using resources, tools, and prompts.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
Short and sweet example MCP server / client implementation for Tools, Resources and Prompts.
A server using FastMCP framework to generate images based on prompts via a remote Comfy server.
Model Context Protocol (MCP) server implementation for semantic vector search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memo
Napier helps you install MCP servers from prompt.
Sample prompts and recipes for using Model Context Protocol (MCP) server to query and manage Azure resources — scenarios include Azure Managed Grafana, Azure Data Explorer (Kusto), Azure Resource Grap
An MCP server which allows your agent to schedule tasks and prompts at certain times.
Creating ai-web-automation project for implementing use of AI prompts and MCP server in automation testing
📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists
MMaDA（Multimodal Large Diffusion Language Models）是普林斯顿大学、清华大学、北京大学和字节跳动推出的多模态扩散模型，支持跨文本推理、多模态理解和文本到图像生成等多个领域实现卓越性能。模型用统一的扩散架构，具备模态不可知的设计，消除对特定模态组件的需求，引入混合长链推理（CoT）微调策略，统一跨模态的CoT格式，推出UniGRPO，针对扩散基础模型的统
Dolphin 是字节跳动开源的轻量级、高效的文档解析大模型。基于先解析结构后解析内容的两阶段方法，第一阶段生成文档布局元素序列，第二阶段用元素作为锚点并行解析内容。Dolphin在多种文档解析任务上表现出色，性能超越GPT-4.1、Mistral-OCR等模型。Dolphin 具有322M参数，体积小、速度快，支持多种文档元素解析，包括文本、表格、公式等。Dolphin的代码和预训练模型已公开，
只显示前20页数据，更多请搜索
Showing 433 to 456 of 456 results
