关键词 "note-taking apps" 的搜索结果, 共 24 条, 只显示前 480 条
A Simple MCP server to serve documentation for AI apps
An AZD template to deploy a Model Context Protocol (MCP) server written in C# to Azure Container Apps using SSE Transport.
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.
🚀 A powerful MCP server for debugging Electron applications with deep Chrome DevTools Protocol integration. Control, monitor, and debug Electron apps through a standardized API.
An AZD template to deploy a Model Context Protocol (MCP) server written in TypeScript to Azure Container Apps using SSE Transport.
Help LLMs to understand your Next apps better
Mirror of
MCP server for building PocketBase apps really quickly - Need a front end quick consider FastPocket
A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.
Model Context Protocol Servers written in different languages by me to use along with Claude, Cursor, and other apps
Local MCP server for running Wordware apps
npx -y convex@latest mcp aConvex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed querie
MacOS and Windows desktop apps for exploring MCP (Model Context Protocol) servers
MCP server for managing software projects, providing tools for project tracking, note-taking, and GitHub integration
A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Tr
This project automates email-based user registration for LLM apps using the Model Context Protocol (MCP). It acts as a simple backend that receives email addresses from users, registers them with an M
Interact with cloudera AI api to manage job, apps, models
Future location for a deployable MCP server to turn internal databases, APIs, and more services into MCP tools for internal LLM apps.
Olostep MCP Server offers web access tooling to AI apps with minimal setup. It allows AI to: 1. Search the web using google 2. Get the markdown content of any web page 3. Discover and filter out rele
MCP Client and Server apps to demo integration of Azure OpenAI-based AI agent with a Data Warehouse, exposed through GraphQL in Microsoft Fabric.
MCP server sample travel buddy app hosted on Azure Functions on Azure Container Apps and MCP extension
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