MCP server that lets AI models invoke CLI agents (Gemini, Codex, Claude, OpenCode) as tools — with parallel execution, retries, and structured output parsing.
A lightweight, stdio-based MCP server enabling AI assistants to perform local file system operations like reading, writing, searching, and executing commands.
Provides MCP servers that wrap common developer tools (git, npm, docker, etc.) returning structured JSON output, enabling AI agents to reliably interact with these tools without parsing fragile terminal text.
Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.
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Creative Commons Attribution Non Commercial 4.0 International
A config-driven, zero-dependency MCP server with plugin architecture that enables filesystem operations, shell commands, HTTP requests, and utilities through simple JSON configuration.