"How to organize my email effectively" matching MCP servers:

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

An MCP service that enables AI to fully manage email accounts, supporting sending emails with attachments and multiple recipients across various email providers.

A Model Context Protocol server that enables AI models to send emails via simple tool calls, supporting both plain text and HTML formats with JWT authentication.

Turns local Codex session transcripts into a searchable memory that MCP-compatible coding agents can query to retrieve relevant past sessions or exact commands and fixes.

Multi-account IMAP/SMTP email MCP server with 22 tools — read, send, search, organize, thread, attachments, and batch operations. Features connection pooling, rate limiting, retry with backoff, and OAuth2 device-code flow. Written in Go.

using aigeon.ai as ESP to send emails

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables MCP clients to validate email addresses locally before sending or saving them, detecting typos, disposable domains, dead domains, bad syntax, role addresses, duplicates, and provider information.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables Codex to trigger an animated hand on your desktop that delivers playful cartoon slaps when mistakes are detected, with severity-based slap counts, while the agent continues working.

A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

Tell your AI agent what you want a model to do. It searches Hugging Face for each part of the job and tells you which parts already exist there: which are an exact fit, which to fine-tune, which to train, and which are just code. Every model it names is real, current, and sized for your hardware.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

A TypeScript MCP server boilerplate that provides example tools (calculator, greet) and resources (system info) to kickstart custom MCP server development.

Enables an AI agent to pack a local folder and deploy it as a live static website at a public URL, with no account required for the first publish. Also supports checking site activation, listing existing sites with their status and views, and recovering access to a site whose key was lost.

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

Enables MCP-capable IDEs to search 8,214 design-system components, retrieve exact source bundles and semantic tokens, and follow a copy-first handoff workflow with composition validation.

MCP server that exposes code review tasks from the Fix My Comments VS Code extension to AI agents, enabling them to list, retrieve, reply to, and update task statuses.

Provides a single MCP tool that returns the current time for a requested timezone, connectable to Claude Code and Claude desktop over stdio or Streamable HTTP.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

A secure file management MCP server enabling file operations like listing, reading, creating, renaming, moving, copying, deleting, and searching within a restricted workspace.

A TypeScript MCP server boilerplate providing example tools and resources for rapid development of custom Model Context Protocol servers.

A Model Context Protocol server that converts Markdown content to HTML format.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

A tiny Hermes-friendly bridge that exposes oh-my-pi's CLI as MCP tools (prompt and doctor) for code generation and environment verification.

A tutorial MCP server that provides basic utility tools including time queries, arithmetic calculations, random number generation, string manipulation, and server information retrieval.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.