"A server for pulling health and fitness data from Apple Health, Garmin, and Whoop" matching MCP servers:

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

Provides offline access to complete Garmin Connect IQ SDK 8.2.3 documentation with enhanced search, device reference, programming guides, and FAQ for AI assistants.

Search and retrieve information from Apple's complete developer documentation, including API references, code examples, and Human Interface Guidelines, across all Apple platforms and versions.

Enables offline, real-time search of Apple Developer Documentation from Xcode's local index, returning full text, code examples, availability, and framework listings without network calls.

Provides live Apple documentation fetching, Xcode build error analysis, and Swift Evolution proposal checking for Apple development assistance.

An MCP server for interventional pain medicine that provides Medicare documentation checklists, CPT/ICD-10 coding, ASRA anticoagulation guidance, prior-authorization letters, denial appeals, and research evidence for 85+ procedures.

Enables AI agents to search, retrieve, and navigate Apple's Human Interface Guidelines as live Markdown content across all Apple platforms.

Enables AI agents to search and retrieve Apple Developer Documentation instantly with symbol search, wildcard matching, and optional semantic embeddings.

Enables Claude Code users to search and read Apple Developer Documentation — frameworks, APIs, SwiftUI/UIKit symbols, Human Interface Guidelines, design resources, sample code, and WWDC session transcripts — directly in their session. It also retrieves code examples, platform compatibility, and related API information through Apple's documentation and search APIs.

Provides AI assistants with access to Apple's Human Interface Guidelines and technical API documentation across all Apple platforms (iOS, macOS, watchOS, tvOS, visionOS), enabling unified search of design principles and implementation details.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Provides access to Apple's official developer documentation, frameworks, APIs, and WWDC session transcripts across all Apple platforms. It enables AI assistants to search technical guides, sample code, and platform compatibility information using natural language queries.

Provides a single-writer MCP server for a governance-grade knowledge base of markdown documents with version control and query capabilities.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

A Model Context Protocol server that provides AI coding assistants with direct access to Apple's Developer Documentation, enabling seamless lookup of frameworks, symbols, and detailed API references.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.