"Tool or method for reading selective emails using POP3, IMAP, or Apple Mail access" matching MCP servers:

Feishu Access Bridge enables reading Feishu (Lark) Wiki pages, documents, spreadsheets, and multi-dimensional tables. It supports user OAuth, enterprise app, or browser session access modes via CLI and MCP tools.

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 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.

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

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.

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

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables searching an offline catalog of Apple Ads Platform API documentation and issuing authenticated read and write calls to manage App Store and Apple Maps campaigns, reports, keywords, budgets, and recommendations. Read and write are split into separate tools, with read-only mode, pagination merging, and large-report file output.

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 MCP clients to search, read, and manage a self-hosted mailbox over JMAP, including attachments with OCR, sending, drafts, and contacts.

Apple developer documentation for coding agents: doc search with developer.apple.com's own results, a complete index of 336,629 pages read in full with signatures and OS availability, and Sample Code with 1,700 WWDC sessions (2014–2026) included. Helps agents write native Swift against current Apple APIs.

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

Enables users to turn public API/MCP documentation and seller terms into source-attributed offer drafts, then review, assess readiness, and export structured records without publishing listings or authorizing payments.

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 LLMs to search and retrieve live Apple Human Interface Guidelines topics, list categories, generate redesign checklists, and access official design assets through a cached MCP interface.

A local MCP server that lets AI coding assistants search Apple's Human Interface Guidelines catalog, fetch individual articles as Markdown, and read community implementation notes for native apps and the web. It enables guideline-grounded design, conversion, and auditing workflows across iOS, iPadOS, macOS, watchOS, tvOS, visionOS, and web platforms.

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.

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.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

A Bun-based MCP server that allows AI models to query Swagger/OpenAPI documentation from local files or remote URLs. It enables users to search for APIs, retrieve detailed endpoint definitions, and fetch schemas to facilitate code generation and API integration.

An MCP server that helps transfer C4 diagrams from DrawIO and PlantUML into a DocHub architecture repository.

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.

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.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

MCP server over a curated catalog of 78 AI tools for engineering teams. Every entry states when it fits, when it does not, its limits, licence terms and open issue numbers, all verified against the project's own repository — search by keyword, category or licence, and get full records or published comparisons.

Enables reading, validating, and managing STEPWELL method documentation (BACKLOG.md, PROGRESS.md, archives) in repositories, with tools for status, backlog, progress, and safe dry-run mutations.

Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.

Optimizes EDT MCP tool descriptions by replacing verbose documentation with concise summaries stored in SQLite, reducing context usage while allowing on-demand retrieval of full tool guides.

Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.

Provides AI agents with instant access to official Apple developer documentation, Swift docs, design guidelines, and Apple Developer YouTube content through advanced semantic and hybrid search capabilities. Features AI-powered reranking for accurate retrieval of Apple platform knowledge including iOS, macOS, watchOS, tvOS, and visionOS development resources.

Provides controlled, verifiable access to jw.org content for AI applications, enabling search, article retrieval, and scripture lookup while preventing hallucinations.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

Provides calculator tools for mathematical operations, access to TypeScript SDK documentation, and meeting summary prompt templates through both stdio and SSE transports.

Enables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

Provides calculator tools for mathematical operations, document resources for accessing TypeScript SDK documentation, and prompt templates for generating structured meeting summaries. Built with FastMCP to demonstrate comprehensive MCP capabilities including tools, resources, and prompts in a single implementation.

Provides semantic search capabilities over PyTorch documentation, enabling users to find relevant documentation, APIs, code examples, and error messages through Claude Code integration.

Pulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.

Provides comprehensive access to Apple's development documentation ecosystem including hidden Xcode docs, Swift Evolution proposals, GitHub repositories, and WWDC session notes. Enables developers to search and retrieve advanced Apple development resources not available through public channels.