Frequently Asked Questions (FAQ) about MCP Server for TESS and UBOS

Q: What is MCP Server for TESS? A: 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.

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling them to access external data and tools.

Q: What is UBOS? A: 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.

Q: How does the MCP Server for TESS integrate with UBOS? A: 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.

Q: What are the key features of the MCP Server for TESS? A: 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.

Q: What are some use cases for the MCP Server for TESS? A: Use cases include customer support automation, content creation and optimization, financial modeling and analysis, healthcare diagnostics and treatment, and e-commerce product recommendations.

Q: How can I install the MCP Server for TESS? A: 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.

Q: What are the prerequisites for installing the MCP Server for TESS? A: You need Node.js 18+ and a TESS API key.

Q: How do I configure the MCP Server for TESS? A: Create a .env file based on the .env.example and add your TESS API key and port configuration.

Q: Can I run the MCP Server for TESS using Docker? A: Yes, the server includes Docker support. You can build and run the server using Docker commands.

Q: What are the available API endpoints? A: Available API endpoints include /health for health checks, /capabilities to list available tools, and /tools/:toolName to execute a specific tool.

Q: How do I execute an agent using the API? A: Use a POST request to the /tools/executar_agente_tess endpoint with a JSON payload containing the agent ID, model, and messages.

Q: Where can I find the source code for the MCP Server for TESS? A: The source code is available on a repository (example: https://github.com/seu-usuario/mcp-server-tess.git).

Q: What license does the MCP Server for TESS use? A: The MCP Server for TESS is licensed under the MIT License.

Q: How can UBOS help me with AI agent development? A: 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.

Q: Is the MCP Server for TESS secure? A: 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.