CLI Integradora para Arcee, TESS e MCP Server

@diegofornalha

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diegofornalha

关于 CLI Integradora para Arcee, TESS e MCP Server

Servidor MCP para integração com a API TESS, permitindo utilizar agentes TESS via protocolo MCP

#tess-mcp#cli #integration

CLI Integradora para Arcee, TESS e MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

CLI Integradora para Arcee, TESS e MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is CLI Integradora para Arcee, TESS e MCP?

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.

How to use CLI Integradora para Arcee, TESS e MCP?

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.

Key features of CLI Integradora para Arcee, TESS e MCP

Unified CLI for Arcee AI, TESS, and MCP services
Standardised interfaces over separate external APIs
List, search, detail, and execute MCP tools
Run TESS agents with parameters and upload files
Chat and content generation with Arcee AI models
Adapter‑based architecture for evolvability and compatibility

Use cases of CLI Integradora para Arcee, TESS e MCP

List all available MCP tools from a single command
Execute a TESS agent with a natural‑language query
Generate content (e.g., Python code) using Arcee AI’s LLMs
Upload files to be used by TESS agents
Search for specific MCP tools by keyword

常见问题

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.

Does this project reimplement the MCP or TESS protocols?

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.

What architecture does the project follow?

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.

What are adapters used for?

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.

What runtime dependencies are required?

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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