"WEMO" matching MCP servers:

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

A demo MCP server that returns an interactive dashboard (bar chart with dataset selector) as an MCP App via the official MCP Apps extension (SEP-1865).

Provides an in-memory notebook interface with tools to create, retrieve, list, update, and delete notes, designed to test agent behavior through realistic MCP tool interactions.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

A production-style MCP server that lets Claude Desktop search your local documents using TF-IDF keyword search. No heavy frameworks, just plain Python and the official MCP SDK.

Enables AI assistants to answer customer questions from a shop's own product catalog, FAQs, and policy documents, with read-only access and cited answers.

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

One-call Australian energy-market plumbing via AEMO — cited, structured responses for market data and analysis, not a data broker.

MCP server demo by Banco D that shows a loan application interactive widget across six steps, demonstrating three levels of agent visibility (full, result-only, and hidden) per MCP Apps (SEP-1865). It enables users to simulate a loan request with plan selection, PIN authorization, and disbursement while controlling what the agent sees.

Provides todo management capabilities, allowing AI agents to add, list, and complete tasks via MCP tools, resources, and prompts.

A FastMCP server providing hackathon overview resources and reusable starter prompts for quick integration with Cursor.

Enables natural language interaction with industrial IoT devices using Sparkplug B, allowing users to query real-time data, analyze historical metrics, and monitor device status.

Enables AI agents to query summit registration and forum analytics, review code changes for risks, run fixed quality gates, and perform audited, permission-controlled commits and deployments with minimal access and human approval.

Enables AI agents to search and analyze NIH-funded research projects and their linked publications via the NIH RePORTER API v2, with no API key required.

A local MCP server for interacting with a network lab, supporting read-only and configuration tools for devices like Arista EOS switches.

Enables querying and comparing the first 25 Pokémon from the Kanto region, providing base stats, evolution chains, and type filtering via natural language.

A FastMCP server with web search, local notes CRUD, and a generative UI dashboard using Prefab.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

MCP server for local, offline-capable library documentation. It resolves library IDs and retrieves up-to-date docs via hybrid search from a persistent SQLite cache.

Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.