"Performing Email-Related Operations in Python" matching MCP servers:

Provides AI agents with real email infrastructure, enabling them to create inboxes, send/receive messages, and extract verification codes from incoming mail.

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

Provides IMAP and SMTP capabilities, enabling developers to manage email services with seamless integration and automated workflows.

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.

Agent-native cold-email infrastructure providing ~12 high-level tools for domain setup, mailbox provisioning, campaign launch, inbox management, and metrics, all operated via MCP or CLI.

Enables AI agents to send, receive, and reply to email through dedicated thread-aware mailboxes, with sandbox testing and compatibility across MCP clients.

Paybond Kit for Python is the PyPI package for tenant-bound Paybond integrations and delegated agent spend controls. It opens hosted Gateway sessions, verifies capability tokens, authorizes tool-call spend, signs intent and evidence payloads, uses Stripe Connect, Stripe ACH Direct Debit, or x402 / USDC-on-Base settlement rails, reads tenant-scoped Signal, fraud, ledger, protocol, and A2A data, and

Email Automation - MCP server providing AI-powered tools and automation by MEOK AI Labs

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Email Validator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

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.

DREAM LAUNCHERS INTERIORS PRIVATE LIMITED

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

Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.

Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.

MCP server for pruning large JSON contexts and handling x402 micropayments on Base, optimizing AI agent token usage and latency.

Enables AI assistants to programmatically control Adobe Photoshop on Windows to create documents, manipulate layers, and manage image adjustments. It provides a bridge between the Model Context Protocol and the Photoshop Python API for automated graphic design workflows.

Windows automation MCP offering * AI Vision (e.g. Click by Description) * Windows UI Automation Tree tools * Chrome Automation via Playwright * Mouse control * Keyboard control * a lot more (>40 tools) Also comes with Python/TypeScript/C# client libs and a Windows Desktop tool to try all the tools.

A domain security and privacy checker MCP server that runs locally, performing DNS, TLS, HTTP, and RDAP lookups to generate a scored report covering certificates, email authentication, DNS, and web security headers.

Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.