"WEMO" matching MCP servers:

Enables AI agents to drive the kepler.gl demo map by loading data, adding and recoloring layers, changing basemaps, applying time filters, and toggling split views through MCP.

Provides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.

A minimal TypeScript MCP server that provides echo and text_stats tools for text validation and word/character counting over stdio.

A demo MCP server exposing billing operations (invoices, customers) with no built-in safety, designed as a test target for NitroWatch governance. It allows reading, sending, archiving, and permanently deleting accounts/invoices without confirmation.

Enables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.

基于高德天气API的MCP服务器，可通过adcode查询实时天气和未来3天预报。

This MCP server demonstrates basic Model Context Protocol architecture by exposing a get_weather tool that returns fake weather data, communicating over stdio.

A comprehensive TypeScript boilerplate MCP server featuring domain-driven design and dynamic component loading. Provides example tools for calculations and text processing, system resources, and writing assistance prompts.

A TypeScript implementation of the Model Context Protocol server that enables searching arXiv papers and extracting paper information through standardized client-server communication.

A demonstration project that uses Cloudflare Workers MCP to create custom AI tools that can be integrated with Claude, Cursor, and other AI assistants supporting the Model Context Protocol.

This is an MCP server that enables agents to record, search, and retrieve memos using LowDB as a lightweight local database.

Provides a remote browser session and MCP tools for restricted search and extraction on sites like XHS, Yelp, and TripAdvisor, with human-in-the-loop login.

A demonstration server that showcases how to collect user input dynamically using the Model Context Protocol (MCP) elicitation system across tools, resources, and prompts.

A demo MCP server built with the xmcp framework, providing a structured way to define custom tools, prompts, and resources.

A demonstration server based on Model Context Protocol (MCP) that showcases how to build custom tools for AI assistants, providing mathematical calculation and multilingual greeting capabilities.

Enables you to manage and automate interactions with Nature Remo devices, including listing devices and appliances, and operating TVs and air conditioners through natural language commands.

A simple MCP server that provides a basic greeting tool for saying hello with customizable names. Serves as a boilerplate template for developers to quickly create and deploy new MCP servers.

A comprehensive MCP server that demonstrates Bob's capabilities through 9 specialized tools for file operations, code analysis, and git operations.

A TypeScript MCP server demo supporting local Stdio and remote Streamable HTTP, demonstrating tool invocation for AI agents.

A simple MCP server implementation that provides AI models with basic Solana RPC methods and helpful development prompts.