MCP-Server-TESS
by diegofornalha
MCP-Server-TESS is a server implementing the Model Context Protocol (MCP) for integration with the TESS API. It exposes tools for managing agents, executing them with custom messages, and managing file associations.
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What is MCP-Server-TESS?
MCP-Server-TESS is a server that follows the Model Context Protocol (MCP) to interact with the TESS API, providing tools for managing agents and files within the TESS platform.
How to use MCP-Server-TESS?
The server can be used either via Smithery.ai for easy installation and integration with LLMs, or locally by cloning the repository, installing dependencies, configuring the TESS API key, and running the server. It exposes an HTTP API with endpoints for managing agents and files.
Key features of MCP-Server-TESS
List and manage agents on the TESS platform.
Execute agents with custom messages.
Manage files and their associations with agents.
Exposes an HTTP API for easy integration.
Docker support for containerized deployment.
Use cases of MCP-Server-TESS
Integrating TESS API functionalities into LLM workflows.
Automating agent execution and file management on the TESS platform.
Building custom applications that leverage the TESS API.
Managing and interacting with agents and files programmatically.
FAQ from MCP-Server-TESS
What is the purpose of this server?
What is the purpose of this server?
This server provides an interface to interact with the TESS API using the Model Context Protocol (MCP).
What are the requirements to run this server?
What are the requirements to run this server?
You need Node.js 18+ and a TESS API key.
How do I install the server?
How do I install the server?
You can install it via Smithery.ai or locally by cloning the repository and installing the dependencies.
How do I configure the TESS API key?
How do I configure the TESS API key?
Create a .env file based on .env.example and add your TESS API key.
How do I execute an agent using the API?
How do I execute an agent using the API?
Use the POST /tools/executar_agente_tess endpoint with the agent ID and custom messages in the request body.