Tess MCP Server

🚀 CLI Integration

This CLI tool is designed to provide unified access to the functionalities of MCP, TESS, and Arcee AI, while ensuring code compatibility and maintainability.

🚀 Quick Start

✨ Features

MCP and TESS

Interact with MCP and TESS servers using the following commands:

# List all tools
arcee mcp-tools listar

# Search for specific tools
arcee mcp-tools buscar "processamento"

# Get tool details
arcee mcp-tools detalhes tool1

# Execute a tool or agent
arcee mcp-tools executar tool1 '{"param1": "valor1"}'

# Access TESS server features
arcee tess listar
arcee tess executar agent123 "如何优化这个代码？"

Arcee AI

Interact with the Arcee AI API using the following commands:

# Generate content using language models
arcee chat "解释 Clean Architecture 的概念"
arcee generate "写一个排序列表的 Python 代码"

🔧 Technical Details

To ensure code compatibility and maintainability, the project adopts the following strategies:

# legacy code（继续有效）
from src.tools.mcpx_simple import MCPRunClient

client = MCPRunClient(session_id="abc123")
tools = client.get_tools()

# New implementation (currently recommended)
from infrastructure.mcp_client import MCPClient

client = MCPClient()
tools = client.list_tools()

📚 Documentation

When developing new features, please follow these steps:

1. Define Interfaces: Define interfaces that match external APIs in domain/interfaces.
2. Implement Services: Write service classes in domain/services to coordinate calls to external APIs.
3. Create Use Cases: Develop business logic for specific functions in application/use_cases.
4. Implement Clients/Adapters: Develop clients or adapters for communication with external APIs in infrastructure.
5. Expose CLI Features: Add new features to the CLI tool through src/commands.

📦 Latest Updates

2024-03-25

• New Tess Direct Interaction Script: Implemented the tess_api_cli.py script, allowing direct interaction with the Tess API without relying on the test_api_tess command.
• Multilingual Model Support: Supports multiple language models, including GPT - 4o and Claude 3.5 Sonnet.
• Practical Examples Added: Added advertising generation examples for cafes, digital marketing agencies, and insurance brokers.
• Detailed Documentation Published: Published integration guides and advanced optimization techniques for optimizing Google Ads through the Tess API.

2024-03-20

• Simplified Streamlit Interface: Removed redundant top tabs, leaving only "Arcee CLI" and "Help".
• Fixed Tess Adapter Issue: Resolved bugs in communication with the Tess API.