What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models like Claude to interact seamlessly and securely with external tools, APIs, and data sources.

Do I need Docker to use the MCP Provider?

Docker is optional but recommended. It is used to provide advanced security features like sandbox isolation and network restriction for the tools you integrate.

How do I add a new tool to my Claude skill?

You can use the discovery script to find a tool in the catalog and then run the attach script to automatically generate the required configurations in your skill directory.

Can I use private or custom MCP catalogs?

Yes, you can modify the configuration file to include your own approved sources and GitHub repositories for tool discovery.

MCP Tool Integrator

Name: MCP Tool Integrator
Author: bacoco

bybacoco

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Herramientas para Desarrolladores

Discovers, validates, and integrates Model Context Protocol (MCP) tools into Claude Code skills for expanded functional capabilities.

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The MCP Tool Integrator streamlines the process of extending Claude Code by automating the discovery and implementation of external Model Context Protocol (MCP) tools. It searches approved catalogs, evaluates candidate tools based on your requirements, and automatically generates the necessary manifests and configurations within your skill directories. By providing optional Docker-based sandbox isolation and comprehensive validation scripts, this skill ensures that external tool integrations are not only powerful but also secure and reliable for complex development workflows.

Características Principales

Intelligent scoring and validation of tool candidates
Built-in health checks and validation scripts for integrated tools
Automated MCP tool discovery from approved catalogs
Secure Docker-based sandbox isolation for isolated execution
Automatic generation of tool manifests and configuration artifacts
1 GitHub stars

Casos de Uso

Integrating external REST APIs into custom AI development workflows
Establishing secure, sandboxed environments for third-party tool execution
Adding specialized database connectors to existing Claude Code skills

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Características Principales

Intelligent scoring and validation of tool candidates
Built-in health checks and validation scripts for integrated tools
Automated MCP tool discovery from approved catalogs
Secure Docker-based sandbox isolation for isolated execution
Automatic generation of tool manifests and configuration artifacts
1 GitHub stars

Casos de Uso

Integrating external REST APIs into custom AI development workflows
Establishing secure, sandboxed environments for third-party tool execution
Adding specialized database connectors to existing Claude Code skills