"A server for Python POP and IMAP email handling" matching MCP servers:

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

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.

A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a hello tool, designed for deployment on Render.

Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.

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.

An MCP server that exposes Python debugging tools backed by debugpy, providing a focused debugging surface for local scripts.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

A Python-based MCP server that enables users to interact with the esa.io API for documentation management. It provides tools for retrieving user information and performing full CRUD operations on articles.

A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.

A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.

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.

A demonstration MCP server built with fastmcp that provides basic utility tools including number addition and greeting functionality. Integrates with Gemini CLI to enable natural language interaction with simple mathematical and greeting operations.

Provides a persistent Python REPL session as a tool for executing code, managing files, installing packages, and initializing projects via the MCP protocol.

Enables deterministic static analysis of Python code, providing tools to inspect classes, functions, imports, dependencies, and more, without executing the code.

A Python MCP server that exposes local Ollama models as tools for AI assistants, enabling chat, generation, embeddings, and model management without cloud APIs.

A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.

A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.

A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.

A modular server for managing and registering tools, enabling extensible functionality through tool registration and configuration.