"The search query 'test123'" matching MCP servers:

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Enables interaction with MariaDB databases through secure read-only operations. Supports database exploration, schema inspection, and SQL query execution with comprehensive logging and connection pooling.

A server that exposes Pi-hole functionality as tools for AI assistants, allowing them to retrieve local DNS settings and query history through natural language.

Enables AI agents to access the local machine over MCP for terminal commands, file operations, code search, process management, and reading or editing PDF, Excel, and Word documents, with no telemetry.

Enables AI assistants to control native Linux desktop applications by exposing the AT-SPI2 accessibility tree with semantic element references, so they can snapshot, search, click, type, and send keyboard shortcuts across GTK, Qt, and Electron apps. It also adds system-level tools for running shell commands, reading and writing the clipboard, launching installed applications, and sending desktop notifications.

MCP server for managing a remote host via FTP/FTPS/SFTP/SSH, offering file transfer, optional shell execution, and MySQL query tools.

The fastest, most capable filesystem MCP server built in Rust, giving AI agents superpowers to read, search, edit, and manage files and directories.

MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol.

Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.

Enables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.

AI-native security research platform that integrates Claude with MCP to execute real offensive security tools in an isolated Docker container, enabling natural language-driven recon, CVE scanning, Active Directory enumeration, and cryptographic posture assessment.

A TypeScript implementation of a Model Context Protocol server that enables language models to securely query PostgreSQL databases, including those behind SSH bastion tunnels.

A powerful tool for exploring, searching, and managing your shell command history through the MCP (Model Control Protocol) interface. This project allows you to easily access, search, and retrieve your previously executed shell commands.

A Model Context Protocol server that enables interacting with the Homebrew package manager on macOS through natural language, supporting commands like install, search, info, and doctor.

An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.

Exposes the agent's built-in tools, such as file operations, shell commands, web search, memory, skills, and code search, as MCP tools over stdio or HTTP, allowing external MCP clients to invoke them directly.

Exposes a governed suite of 38 tools over a single OAuth-gated MCP endpoint, letting web-based AI clients such as Claude, ChatGPT, and Grok read and edit files, run whitelisted shell commands, search, query SQLite, use Git, automate browsers and DevTools, manage background tasks, reach localhost services, and control the clipboard, notifications, ports, and Postman. This turns remote AI chats into secure operators of a local machine without granting unrestricted shell access.

Exposes a governed suite of 38 tools over one OAuth-gated MCP endpoint so web AI chat clients can read and edit files, run whitelisted shell commands, search, query Git/SQLite, drive browsers via DevTools, and manage background jobs on the local machine. Remote access runs through Tailscale Funnel while local tools connect straight to 127.0.0.1, keeping operations permission-scoped rather than granting unrestricted shell access.

An interactive coding agent and MCP server that provides access to various AI models via the Tsinghua University lab proxy API. It enables users to inspect files and execute shell commands within their local directory using models like DeepSeek, GLM, and Qwen.