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97,619 servers. Updated
19 Best Email MCP Servers: compared and ranked, October 2026Ranked from 2,721 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
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    A
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    Provides workspace-scoped file operations and command execution tools for building Cursor-style agents, along with system prompts and tool definitions for LLM integration.
    5
    MIT
  • A
    license
    A
    quality
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    This MCP server enables users to execute shell commands in the current iTerm2 session through integration with Claude Desktop, facilitating seamless command execution via the Model Context Protocol.
    3
    110 npm
    567
    MIT
  • A
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    quality
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    Automates setup of local development environments for Python, Node.js, Flutter, Android, and more on macOS and Linux. Can be used as a standalone CLI or as an MCP server for AI assistant integration.
    10
    MIT
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    A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.
    20
    389 npm
    7
    MIT
  • F
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    A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.
    2
    -
  • A
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    Config-driven MCP server that exposes Kali Linux penetration testing tools to AI agents, with automatic tool discovery, man page integration, and local/remote execution modes.
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.
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    A local AI agent system that gives any LLM real access to the filesystem, terminal, and codebase via MCP, usable as a standalone terminal agent or Continue.dev integration in VS Code.
    284 npm
    MIT
  • A
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    maintenance
    Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.
    MIT