"Notes or documentation related to 'rag'" 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.

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.

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

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.

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.

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

A minimal MCP server for UW Hyak (klone) that exposes tools to run shell commands and write files remotely, along with documentation resources for klone-specific utilities.

MCP Bridge is a local-first Linux/Windows desktop app connecting ChatGPT to approved files and Chrome through authorized OpenAI tunnels, with optional shell tools. The Glama-hosted v0.1.0 release is a restricted READ-ONLY documentation demo: five tools can access only bundled public examples, not your computer, browser, credentials, shell, or files.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

An all-in-one MCP server for local LLMs that provides live web access, math, shell/code execution, filesystem access, memory, and RAG over local files using LM Studio embeddings.

Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.

Enables MCP-based communication with existing interactive terminal channels, such as shells or agent CLIs, by listing, reading, writing text, and sending control signals to tmux sessions without creating or managing them.

Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.

Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.

A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.

MCP server providing Git-related functionalities, primarily a tool to generate diffs for Git merge commits against their first parent.

Enables Claude to securely work on remote projects via SSH or WinRM, providing a restricted set of tools (read, patch, git, tests, build, docker, logs) limited to whitelisted directories.

Enables a ChatGPT MCP connection to read, create, and modify text files in explicitly shared folders across multiple self-hosted computers, and to run PowerShell or sh terminal commands under separate per-device authorization.

Enables LLMs to control a Linux server via multiple shell windows with background execution, notes, and sudo separation, allowing natural-language-driven system management and command execution.

Enables an MCP-capable agent to operate a heterogeneous cluster of Debian/Armbian Linux nodes over SSH from a single inventory, inspecting status and logs, managing packages, services, files, storage and NFS, and deploying new capabilities to nodes through installable modules. Built-in cluster tools fan out to nodes by explicit names, roles or tags with bounded concurrency, while modules can be installed on compatible nodes and run on demand or as systemd services.

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.

Enables AI agents to securely execute remote commands via SSH or JumpServer, with flexible gateway configuration and plugin-based matchers for JumpServer login interfaces.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables AI agents to execute commands and read files or directories on pre-registered, fingerprint-verified SSH hosts by alias or IP, while keeping encrypted passwords local and inaccessible to the agent.

Exposes every non-interactive GNU screen operation as MCP tools, letting an assistant list, create, send commands or files to, capture output from, clean up, and kill sessions. Works transparently for sessions on the local machine or on remote hosts reachable over SSH, using the recorded host registry, so remote sessions need no special transport.

Enables users to save frequently used long prompts as simple shortcuts like /review or /debug. Transform 500-word prompts into 8-character commands across any MCP-compatible platform.

Enables ChatGPT on the web or mobile to run commands and edit files on a Windows PC through OpenAI Secure MCP Tunnel without opening inbound ports or exposing a public address.

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.

Enables AI assistants to execute shell/PowerShell commands, manage files, run git and Django operations, and control IIS or systemd services on remote Windows or Linux machines over HTTP.