"ICQ" matching MCP servers:

An MCP server that enables AI assistants to interact with the CETC-ICQ quantum cloud platform via the gjq-client Qiskit 2.0 SDK, supporting account management, device listing, circuit submission, and task management.

Enables lookup, search, browsing, and explanation of WHO's International Classification of Functioning, Disability and Health (ICF) codes and qualifiers via the WHO ICD-API.

Enables natural-language access to Intervals.icu training data, wellness metrics, activities, events, and workout management through MCP-compatible clients.

Read/write MCP server for Intervals.icu — 51 tools spanning activities, streams, wellness, calendar, gear, and sport zones, plus structured workout generation with a built-in syntax reference for cycling, running, and swimming.

Connects MCP clients to real browser sessions via a Chromium plugin, enabling LLMs to read, scan, automate, and navigate web pages using the user's existing browser state.

Enables AI agents to read and edit ICA shopping lists in natural language, using an unofficial interface to ICA's private API.

Enables AI assistants to read and analyze athlete training data, including fitness summaries, activities, and profiles, to help plan training.

A read-only MCP server that exposes a published iCalendar feed as calendar-query tools, enabling users to list events, view today/upcoming schedules, search events, and inspect feed info without OAuth or admin consent. Recurring events are expanded into individual occurrences on query.

A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.

Enables querying WAZ zone definitions, mapping ADIF DXCC entities and subdivisions to zone codes, searching zones by name or prefix, and checking zone validity with source citations. Runs locally without network access or authentication.

An MCP server for building, validating, and publishing Ice Puzzle levels with AI assistants, featuring integrated solver feedback and quality checks. It provides over 60 tools for level design, difficulty analysis, and benchmarking AI performance on design tasks.