"Guide to connecting the Glama MCP Registry and adding MCP servers to a gateway" matching MCP servers:

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

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.

Enables an AI agent to inspect and operate a remote Windows machine over a private tailnet, listing and reading files, transferring and mutating them within a configured sandbox root, capturing screenshots, and — only when explicitly double-opted-in — executing commands and sending keystrokes. It runs self-hosted with no third-party client or vendor cloud in the session path, and reports its live policy rather than asserting its own safety.

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.

Enables web ChatGPT to drive durable, sandboxed Claude Code sessions on a local Mac, with controlled read, modify, verify, and recover operations via six session control tools.

Enables remote MCP clients to securely access a trusted macOS machine's local file system and command execution tools (mcp-combiner) via OAuth-authenticated HTTPS through Cloudflare Tunnel, without opening router ports.

An MCP server that acts as a boundary agent, giving LLMs and automation systems controlled SSH-based access to remote machines for tasks like administration, diagnostics, and security research.

基于Python的MCP网关

Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.

Enables authenticated access to an SSH server fleet and RAG knowledge base through MCP tools, with read-only checks running automatically and risky operations requiring human approval. Supports target registry IDs, policy enforcement, credential management, and hybrid knowledge search.

Provides SSH access to a remote machine with manual session approval, automatic termination, and inactivity timeouts, enabling secure command execution via Claude.

Enables managing Linux servers via SSH with tools for command execution, file operations, service management, and log analysis.

Exposes local OpenCode instances as remote MCP servers for Claude and ChatGPT, enabling terminal access, session management, and interactive human-in-the-loop workflows. It simplifies deployment for local machines using Cloudflare Tunnels to provide secure public connectivity and OAuth support.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

A ready-to-run MCP gateway and multi-agent scheduling system with 14 built-in tools and 3-layer performance optimization, reducing latency by 65%.

Enables agent clients to safely connect to tools and execution resources through MCP with authorization, approvals, audit, chat-context isolation, SSH/Docker access, and long-running command session tracking.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

Enables AI agents to run shell commands, perform sandboxed file operations, and make HTTP requests through zero-trust guards that block command injection, path traversal, and SSRF while redacting secrets from inputs and outputs. Circuit breakers, per-session rate limits, and an append-only audit ledger prevent runaway loops, excessive token spend, and provide post-hoc traceability.

Enables an MCP client to run commands and inspect or edit files across multiple named SSH hosts through a single local connection, keeping terminal state between calls and reading long output a page at a time. It reports honest exit statuses and handles router CLIs and pagers such as --More-- without dumping whole logs into the conversation.