Question 1

What is MCP Server for TESS?

Accepted Answer

MCP Server for TESS is an implementation of the Model Context Protocol (MCP) designed to integrate with the TESS API. It allows you to list, manage, and execute AI agents with custom messages on the TESS platform.

Question 2

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling them to access external data and tools.

Question 3

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Question 4

How does the MCP Server for TESS integrate with UBOS?

Accepted Answer

The MCP Server for TESS acts as a bridge, allowing AI models within the UBOS platform to access and interact with AI agents and data sources within the TESS AI environment.

Question 5

What are the key features of the MCP Server for TESS?

Accepted Answer

Key features include listing and managing agents, executing agents with custom messages, managing agent files, a comprehensive API, seamless integration with TESS AI, flexible deployment options, security, and scalability.

Question 6

What are some use cases for the MCP Server for TESS?

Accepted Answer

Use cases include customer support automation, content creation and optimization, financial modeling and analysis, healthcare diagnostics and treatment, and e-commerce product recommendations.

Question 7

How can I install the MCP Server for TESS?

Accepted Answer

You can install the MCP Server for TESS either locally or directly through the UBOS platform via Smithery.ai. You can also install it locally by cloning the repository and installing dependencies.

Question 8

What are the prerequisites for installing the MCP Server for TESS?

Accepted Answer

You need Node.js 18+ and a TESS API key.

Question 9

How do I configure the MCP Server for TESS?

Accepted Answer

Create a `.env` file based on the `.env.example` and add your TESS API key and port configuration.

Question 10

Can I run the MCP Server for TESS using Docker?

Accepted Answer

Yes, the server includes Docker support. You can build and run the server using Docker commands.

Question 11

What are the available API endpoints?

Accepted Answer

Available API endpoints include `/health` for health checks, `/capabilities` to list available tools, and `/tools/:toolName` to execute a specific tool.

Question 12

How do I execute an agent using the API?

Accepted Answer

Use a POST request to the `/tools/executar_agente_tess` endpoint with a JSON payload containing the agent ID, model, and messages.

Question 13

Where can I find the source code for the MCP Server for TESS?

Accepted Answer

The source code is available on a repository (example: `https://github.com/seu-usuario/mcp-server-tess.git`).

Question 14

What license does the MCP Server for TESS use?

Accepted Answer

The MCP Server for TESS is licensed under the MIT License.

Question 15

How can UBOS help me with AI agent development?

Accepted Answer

UBOS provides a full-stack platform for developing, deploying, and managing AI agents, offering features like agent orchestration, data connectivity, custom agent building, and multi-agent system development.

Question 16

Is the MCP Server for TESS secure?

Accepted Answer

The server is built with security in mind, incorporating industry-standard security practices to protect sensitive data. It's important to follow security best practices when deploying and configuring the server.

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