"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP servers:

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.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

A Model Context Protocol (MCP) server that provides VSCode context and filesystem operations for AI assistants.

Provides 29 Git operations and 11 workflow combinations for AI assistants and developers, enabling comprehensive Git repository management through a standardized interface.

Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.

Wraps GitHub Copilot CLI as an MCP server, enabling MCP clients to run Copilot conversations for code tasks with support for session resumption and permission modes.

Wraps the GitHub Copilot CLI to provide natural language command suggestions, explanations, and shell configuration for shell, git, and GitHub CLI commands through the Model Context Protocol.

Enables querying today's GitHub commits, performing local git operations (status, diff, add, commit, push), and creating GitHub issues through natural language.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

An MCP server that folds function and class implementations into structural skeletons while preserving signatures, interfaces, and docstrings, reducing tokens by up to 90%+ for AI agents. Exposes tools to get repository skeletons, unfold specific symbols on demand, and retrieve exact token and prompt cost savings metrics.

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Enables AI clients to operate on a remote Linux server over MCP, allowing shell command execution, file editing, package installation, project builds, and service management.

Provides remote filesystem operations, git repository management, and process execution capabilities for AI agents through the Model Context Protocol.

MCP server that wraps Gemini CLI as a subprocess, exposing its capabilities as Model Context Protocol tools.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

A Model Context Protocol (MCP) server for the dbatools PowerShell module. Exposes dbatools commands as MCP tools so AI assistants can discover, explain, and execute dbatools commands directly.

A Model Context Protocol server for secure local system operations, enabling shell command execution and file management via a standardized interface.

This MCP server enables users to execute shell commands in the current iTerm2 session through integration with Claude Desktop, facilitating seamless command execution via the Model Context Protocol.

Enables AI assistants to execute SSH commands and perform token-efficient file operations on remote servers via the Model Context Protocol.