"Understanding Inference Models" matching MCP servers:

Enables MCP clients to drive a LEGO Mindstorms EV3 over Wi-Fi SSH, with tools for movement, turning, stopping, beeping, and listing connected devices. Includes a CLI chat client that translates natural language into robot commands via Hugging Face Inference Providers.

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 secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.

A Model Context Protocol server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.

An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.

A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.

Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.

Provides a bridge between large language models and the Metasploit Framework, enabling AI assistants to access and control penetration testing functionality through natural language.

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.

Bridges Llama models with Claude Desktop through Ollama, enabling privacy-first local AI operations with 10+ built-in tools for file operations, web search, calculations, and custom model deployment. Features streaming support, hybrid intelligence workflows, and extensive Python ecosystem integration for research, development, and enterprise applications.

An MCP server for integrating AI models with client applications, allowing for structured interactions with APIs using command-line arguments for authentication and configuration.

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

Bridges Notion AI models to coding environments like OpenCode, Claude Code, and Codex CLI, enabling local file operations and shell commands via MCP tools.

A zero-dependency MCP and agent tool server for small local models that provides a measured, deterministic tool-calling interface with file, web, shell, and calculation tools.

Enables AI models to safely execute pre-defined Linux shell commands with a whitelist mechanism, restricting execution to allowed commands only.

A Cloudflare Workers-based deployment that implements the Model Context Protocol, allowing AI models to use custom tools without authentication.

Enables AI models to operate on a Windows PC through local filesystem and terminal MCP tools, with token auth and active project switching.

MCP server that enables AI models to open the Windows Notepad application via function calling, demonstrating the complete MCP tool call workflow.

Enables AI models to securely control remote Linux servers via SSH for command execution, file operations, and system monitoring, plus browser automation capabilities for web navigation, form interaction, and screenshot capture.

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.