关键词 "sentence case converter" 的搜索结果， 共 17 条, 只显示前 480 条
MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
Showcase: Let an agentic coding assistant create a small web search agent with Pydantic AI using MCP server
MCP Server for converting markdown to PDF
An MCP server for conversion of units related to cooking
This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.
Users can easily generate high-quality images and customize unique 3D character models with just a few inputs. The platform supports multilingual input and is ideal for various use cases such as illus
OtterBridge is a lightweight, flexible server for connecting applications to various Large Language Model providers. Following the principles of simplicity and composability outlined in Anthropic's gu
A demo to showcase a MCP Server with Azure Functions
Enables useful sales use-cases via MCP Server, for use within any common AI Chat
This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool
A minimal MCP server built with Python that exposes two example tools: one to convert a company name into a stock symbol, and another to fetch financial data from Yahoo Finance. The project focuses on
MCPHubs is a website that showcases projects related to Anthropic's Model Context Protocol (MCP)
This directory showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.
MCP Cases is a format that allows to specify how your MCP Server behaves for various automations
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
ContextGem：轻松从文档中提取 LLM ContextGem 是一个免费的开源 LLM 框架，它可以让您以最少的代码更轻松地从文档中提取结构化数据和见解。 💎 为什么选择 Contex
PromptPilot是字节跳动旗下火山引擎推出的面向大模型的智能解决方案平台。通过深度解析用户意图，将模糊的想法转化为AI能精准执行的专业指令，确保模型稳定输出高质量结果。PromptPilot的互动式引导，帮助用户明确需求；定义理想答案，通过用户反馈优化模型表现；闭环迭代优化，将问题案例转化为数据资产，持续提升Prompt效果。支持多轮对话优化、多模态理解与规划、复杂工具调用优化，通过SDK调
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