"A guide to finding the best trading algorithms" 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.

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 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.

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

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.

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.

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.

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

An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.

A server that uses the Model Context Protocol (MCP) to allow AI agents to safely execute shell commands on a host system.

A MCP server that can run Kubernetes commands with a given kubeconfig path and provide interpretation of the commands.

A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).

A secure server that implements the Model Context Protocol (MCP) to enable controlled execution of authorized shell commands with stdin support.

Enables stdio-only MCP clients like Claude Desktop to connect to a running OpsMaxx desktop app by relaying messages to its authenticated HTTP MCP bridge, so they receive the same access controls, approvals, secret redaction, and audit logging as HTTP clients.

Enables AI agents to drive real terminal sessions — starting, typing, reading the screen, waiting on prompts and killing processes — while a human watches and can type into the same live session from a browser. Exposes twelve MCP tools for session control, snapshotting, finding text and sharing viewer links.

Gives Notion Custom Agents real file tools and a real terminal over the Model Context Protocol, enabling them to read, edit, and run commands directly on the user's machine.

Enables ChatGPT to work with explicitly registered projects on a Windows device through a secure, self-hosted bridge.

A secure, local communication runtime bridge that interfaces a cloud-based Large Language Model (Claude Desktop) with a local machine execution environment using the Model Context Protocol (MCP).

Enables AI agents and humans to read and write a git-backed knowledge base through isolated sandbox sessions, with tools for creating and closing sessions, running shell commands, listing sessions, and retrieving guide documents.

Enables supervised PowerShell execution on Windows, allowing the DeepSeek agent to run local commands and manage files safely through a single tool.

Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.

Enables Claude AI to run terminal commands, perform file operations, and manage git in a project directory via the Model Context Protocol.

Enables AI agents to execute commands in a shared tmux session that is simultaneously visible to a human via a web-based terminal UI.

Lets an MCP client read output from and write commands to a single Termius terminal you explicitly share, with per-write and per-read approval inside the app.

Enables ChatGPT and Gemini on the web to read and modify local files and run PowerShell commands on a Windows PC through a locally hosted MCP bridge, with OAuth/DCR authorization and a private local dashboard.