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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

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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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

1

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.

2

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.

3

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.

4

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.

5

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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