This is a server that connects the TrainingPeaks training data platform to AI assistants like Claude through the Model Context Protocol (MCP). It allows users to query training data, analyze training loads, compare power data, and track fitness trends through natural language, without waiting for official API approval and using secure cookie authentication.

An MCP server that provides a waiting function and can pause until other tasks are completed.

CK-ASK is an AI conversation pause tool that bypasses MCP restrictions through pure HTTP communication, provides dual modes (terminal and pop-up window) to wait for user input, and supports file upload and automatic callback.

The WAII MCP Server is a protocol server that enables database interaction through a natural language interface, supporting functions such as query execution and data visualization.

The Olostep MCP Server is an MCP server implementation integrating Olostep services, providing functions such as web content extraction, search engine result retrieval, and website URL discovery, and supporting multi - country request routing and JavaScript rendering waiting.

This project provides an MCP server implementation with a waiting function, including TypeScript and Python versions, which can pause for a specified time before responding to requests.

The MCP Wait Timer Server provides a controllable pause function for workflows

The project has been republished, removing the old factory code. Currently, it serves as a minimized placeholder library waiting for the redesign of the MCP/toolchain.