Mcpp

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mcpp provides a streamlined solution for integrating AI agents with external tools. Instead of managing a separate Model Context Protocol (MCP) server for each tool, mcpp acts as a central multiplexer. It allows developers to register numerous tool modules declaratively via a single configuration file, serving all their schemas and routing requests efficiently from one process. This architecture significantly reduces coordination overhead and simplifies the management of a growing suite of tools for AI agents like Claude Code and Codex.

Características Principales

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• Define tool schemas declaratively using JSON Schema in YAML files, separate from implementation.
• Lazily load tool module code only upon first call, improving startup performance and fault tolerance.
• Consolidate multiple AI agent tools into a single server process and configuration entry.
• Support external tool modules located anywhere on disk, fostering modularity and independent development.
• Provide dual-audience responses, delivering structured data to agents and human-readable display text to users.

Casos de Uso

• Streamlining AI agent development by managing all external tools from one central server instance.
• Integrating complex, stateful tools that require multi-user and multi-project support without server duplication.
• Testing and directly interacting with agent tools through a built-in command-line interface.