Skip to main content
Glama
72,565 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"How to add a note to an order or object" matching MCP servers:

  • A
    license
    -
    quality
    A
    maintenance
    A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.
    16
    104
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.
    9
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
    16
    22
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A single-purpose MCP server that lets an AI assistant run commands over SSH on a fixed, pre-configured host only, with an explicit per-call confirmation gate before execution.
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
    2
    100
    5
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.
    2
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.
    6
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.
    8
  • A
    license
    A
    quality
    B
    maintenance
    Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.
    7
    MIT
  • F
    license
    A
    quality
    A
    maintenance
    Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.
    6
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server for RollDev and Magento 2 development environments that enables LLMs to manage project environments, execute SQL queries, and run PHP or Magento CLI commands. It supports automated project initialization, Composer integration, and system service control directly through natural language.
    10
    17
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.
    8
    15
    MIT