"Examples of online search and data retrieval services" matching MCP servers:

MCP server for the Synapse ecosystem that exposes the Synapse Memory API, Browser Proxy, and SSH Proxy as MCP tools, enabling multi-tenant, stateful interactions via stdio or HTTP/SSE.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

MCP server for managing Ubuntu servers over SSH. Enables Claude to check system health, inspect services, tail logs, review updates, and run commands remotely.

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.

A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Enables AI agents to run PowerShell commands and manage Windows services without intrusive console windows, while also supporting remote execution via SSH and WinRM.

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.

Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.

Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.

LocalBridge MCP is a bridge between an online AI chats and your computer. Most online AI chats can reason, and write code, but they normally cannot touch the local files, terminals, and scripts that make real work happen. This gives a trusted assistant a controlled doorway into a machine you own, so it can inspect files, edit text, search a project, run tests, use Git, and operate a shell.

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

Enables interaction with Railway cloud platform through the CLI to manage projects, services, deployments, and environments. Supports creating projects, deploying templates, managing environment variables, and monitoring logs through natural language commands.

Enables secure SSH access to servers through a gateway with Kerberos authentication, allowing execution of whitelisted commands with pattern-based security controls and server information retrieval.

Enables automated VPS initialization and management through SSH connections. Supports installing common services like Node.js, Nginx, and Redis, configuring domains with SSL certificates, and setting up GitHub CI/CD pipelines with deploy keys.

An MCP server for managing Ubuntu/Linux systems, enabling AI assistants to execute commands, manage services, files, logs, and packages via local or SSH connection.

MCP server that gives AI assistants read-only access to TacticalRMM fleet data (agents, checks, alerts, services, processes, etc.) and, with explicit approval, lets them run commands on managed machines.

Enables intelligent interaction with Azure resources through natural language by translating requests into safe, auditable Azure CLI commands with plan/review workflows and direct access to 8 Azure services including Storage, Cosmos DB, Key Vault, and more.