"Conda-Forge" matching MCP servers:

Enables AI assistants to interact with conda CLI commands through the Model Context Protocol, providing structured tools for built-in and plugin commands while enforcing configurable read-only, write, and exec policies.

An MCP-only server that launches AI CLI tasks (Claude, Codex, Gemini, Forge, OpenCode) as background subprocesses and manages them via PID for status, output, and lifecycle control.

Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.

MCP server to control Onda terminal from AI agents, providing tools for splitting panes, running commands, managing tabs and workspaces, and orchestrating multi-agent workflows across multiple windows.

A Model Context Protocol server for secure, sandboxed file operations and project scaffolding with built-in search and regex capabilities. It is optimized for Windows environments and features configurable access controls to restrict operations to specific directories.

A lightweight MCP server that acts as a secure proxy for AI assistants to run local Git operations and GitHub API macros simultaneously.

Exposes conda environment management tools to MCP-enabled AI coding assistants, enabling them to create, modify, and delete environments and packages on your machine.

Swiss-Army developer toolkit, stdio inspector, scaffolding CLI & built-in suite of developer tools for Model Context Protocol (MCP) servers.

A deliberately narrow, approval-gated workspace server that safely reads and writes files and runs allowlisted commands only inside one configured workspace, requiring visible approval for every write, process execution, and file read, with stale-overwrite protection and symlink-escape rejection.

Terminal MCP server for AI coding agents with persistent PTY sessions, ring-buffer incremental reads, headless xterm screen capture, multi-agent orchestration, and a real-time web dashboard.

Lets local AI agents drive an Omarchy desktop by exposing its command registry and shell IPC targets over MCP, enabling command search, execution, and desktop state control.