Heimdall — MCP server for the Apple App Store Connect API & App Store Server API (StoreKit 2). 982 tools generated from Apple's official OpenAPI spec. Client-agnostic: Claude, Codex, Cursor, and any MCP client.
Enables querying live and historical market data, including stock quotes, option chains, option quotes with greeks, and OHLCV candles, via the Market Data App API.
An MCP server that integrates Zotero and MinerU pipelines to import and manage academic literature in an Obsidian vault, enabling automated note creation, PDF parsing, and vault maintenance.
Enables AI assistants to query the FoxData API for iOS and Google Play app analytics, including downloads, revenue, rankings, keywords, competitor insights, and ad data across 200+ countries. Supports natural-language requests to retrieve app intelligence and market data.
Mogut — open-source, read-only MCP server for Apple App Store ASO and growth intelligence: keyword research, competitor analysis, review mining, pricing, localization, and reports.
Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.
An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.
An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.
Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.
Self-hosted MCP server for app market intelligence, enabling tools to query app download/revenue estimates, ad intensity proxies, creator mentions, and rank history from local collected data.
Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.
Enables AI assistants to perform structured decision-making using the Analytic Hierarchy Process (AHP), allowing users to define criteria, compare options pairwise, and calculate ranked results with consistency validation.