How does Hooks streamline tool setup and sharing for development teams?

Hooks simplifies setup by consolidating all accessible development tools into one `hooks_mcp.yaml` file. This file can be easily shared within a project repository, ensuring consistent tool availability and configuration across the entire development team.

What is Hooks and how does it help coding agents?

Hooks is a tool that exposes project-specific development commands (e.g., linting, testing, formatting) to AI coding agents via a simple `hooks_mcp.yaml` configuration file, enabling agents to discover and execute these tools efficiently.

How does Hooks enhance security for AI-driven development?

Hooks improves security by allowing developers to define an allow-list of commands, validating input parameters (like project file paths), and controlling environment variable access, preventing agents from executing arbitrary or malicious commands.

What types of development tools can be exposed through Hooks?

Hooks can expose any project-specific development tool that can be run via a CLI command, such as linters (Ruff), test runners (Pytest), type checkers (Pyright), formatters, and custom scripts, all defined within a single YAML file.

Hooks

Name: Hooks
Author: scosman

byscosman

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Productividad y Flujo de Trabajo

Herramientas para Desarrolladores

Seguridad y Pruebas

Exposes project-specific development tools like linters and tests to coding agents via a simple YAML configuration, enabling easy setup, execution, and sharing.

Hooks

byscosman

•

Productividad y Flujo de Trabajo

Herramientas para Desarrolladores

Seguridad y Pruebas

Exposes project-specific development tools like linters and tests to coding agents via a simple YAML configuration, enabling easy setup, execution, and sharing.

Hooks is an MCP server designed to provide coding agents with secure and structured access to project-specific development tools. Developers define available commands—such as linters, test runners, and formatters—within a single `hooks_mcp.yaml` file, which can then be committed to a repository for team-wide sharing. This approach simplifies setup, enhances tool discoverability for agents by providing exact arguments, and improves security by allowing only pre-defined commands and validating parameters like file paths. It integrates seamlessly with MCP-compatible agents like Cursor and Windsurf, leveraging parallel execution and reducing token usage for command generation, ultimately streamlining the development workflow.

Características Principales

01Simple setup and sharing via a single YAML configuration file

02Enhanced security through command allow-listing and robust parameter validation (e.g., project file paths)

033 GitHub stars

04Optimized for speed with MCP's parallel execution capabilities

05Automated tool discovery and argument specification for coding agents

06Supports environment variables (.env, required/optional) and secret management

Casos de Uso

01Allowing coding agents to run project-specific linting, testing, and formatting commands securely

02Enabling AI agents to interact with a project's dev-tools without guessing CLI strings or risking arbitrary command execution

03Standardizing and sharing development tool access configurations across development teams