Agnix is a free MCP server tool developed by Agent Sh, primarily built with Rust. It functions as a linter and Language Server Protocol for AI agent configurations. Agnix connects to and validates configurations for various AI coding assistants and their associated files, including CLAUDE.md, AGENTS.md, and SKILL.md. It supports over 10 AI tool formats like Claude Code, Cursor, and GitHub Copilot. Distributed via PyPI, npm, Homebrew, and Cargo, Agnix helps developers and security teams ensure the integrity of their AI agent setups across different platforms. It integrates with major IDEs, providing real-time validation.

What does Agnix connect to?

Agnix validates configurations for AI coding assistants and their associated files, including CLAUDE.md, AGENTS.md, and SKILL.md. It also supports hooks and Model Context Protocol configurations. The tool connects with over 10 AI tool formats, such as Claude Code, Cursor, GitHub Copilot, Codex CLI, OpenCode, Gemini CLI, Cline, Windsurf, Kiro, and Amp. This broad compatibility allows it to manage and secure a diverse array of AI agent setups effectively. Additionally, Agnix connects to major integrated development environments via its Language Server Protocol.

Core features and tools

Agnix serves as a linter and Language Server Protocol for agent configuration, including an MCP server binary. It offers a Python API with functions like agnix.run, agnix.lint, and agnix.version. The tool supports command-line interface interactions, allowing for tasks such as "--fix" to resolve issues and "--strict" for rigorous validation. Agnix provides plugins for major IDEs, delivering real-time validation, auto-suggestions, and diagnostics. It validates configurations that utilize HTTP transport for remote MCP servers.

Who is it for?

Agnix is designed for developers building and configuring AI agents, offering capabilities to maintain configuration quality. Enterprise security practitioners, platform architects, and AI governance teams will find it useful for ensuring MCP security and compliance. Its validation and auto-fix capabilities address common development challenges, improving workflow efficiency. The tool supports integration into CI/CD pipelines for automated checks. Skip this if your development workflow does not involve AI agents or Model Context Protocol configurations.

How to get started

Access is granted through a standard OAuth authorization flow for remote Streamable HTTP servers. For local stdio transport servers, authentication may use credentials from environment variables.

Use cases

• Linting agent configurations during development and in CI/CD pipelines to catch errors before they break workflows.
• Automatically fixing configuration issues using its auto-fix capabilities.
• Providing real-time IDE validation, auto-suggestions, and diagnostics through its LSP integration with major IDEs.

Agnix by Agent Sh provides essential validation and linting for AI agent configurations, supporting a variety of AI tool formats and integrating with popular IDEs. It helps maintain configuration integrity and security for both local and remote Model Context Protocol deployments. With its auto-fix and LSP features, Agnix improves developer workflows and governance. Try using its LSP integration within your preferred IDE to experience real-time diagnostics.