What is the purpose of this CLI?
It provides a command‑line abstraction that unifies access to Arcee AI, TESS, and MCP APIs without reimplementing them, making it easier to interact with all three from one tool.
@diegofornalha
基本情報
Servidor MCP para integração com a API TESS, permitindo utilizar agentes TESS via protocolo MCP
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A command-line interface (CLI) that integrates third‑party APIs – Arcee AI, TESS, and the official Model Context Protocol SDK (@sdk‑mcp) – into a unified abstraction layer. It follows Clean Architecture and Domain‑Driven Design (DDD) and does not reimplement the underlying services; it provides a standardized way to access them.
Install the project (no explicit install command in README), then invoke commands such as arcee mcp-tools listar, arcee mcp-tools executar tool1 '{"param1":"valor1"}', arcee tess listar, arcee chat "sua pergunta", and arcee generate "prompt". Configuration details are not documented in the README; the CLI consumes the APIs of TESS‑MCP, Arcee AI, and MCP via their respective endpoints.
It provides a command‑line abstraction that unifies access to Arcee AI, TESS, and MCP APIs without reimplementing them, making it easier to interact with all three from one tool.
No. It consumes the official MCP SDK ( @ sdk‑mcp ) and the TESS APIs as external services. The CLI is only a client; all protocol logic remains in those services.
It follows Clean Architecture with Domain‑Driven Design, organised into domain (interfaces, services), application (use cases), infrastructure (clients/adapters), and user interface (CLI commands) layers.
Adapters decouple the domain from external APIs, translate data formats, and implement the Ports & Adapters pattern. They also maintain backward compatibility while the internal implementation evolves.
The project uses @ sdk‑mcp (the official MCP Node.js SDK), interacts with Arcee AI and TESS REST APIs, and runs as a Python CLI (commands invoked via `arcee`). Specific runtime versions are not listed in the README.

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