Diegofornalha MCP Server Tess
D

Diegofornalha MCP Server Tess

MCP-Server-TESS is a server project based on the MCP protocol, used to integrate with the TESS API, providing functions such as agent management, file operations, and message processing, supporting local deployment and installation on the Smithery.ai cloud platform.
2 points
7.5K

What is MCP-Server-TESS?

MCP-Server-TESS is a server based on the Model Context Protocol (MCP), designed to interact with the TESS platform through the API. It allows users to easily manage agents, files, and execute custom tasks.

How to use MCP-Server-TESS?

Through simple installation and configuration, you can quickly start using the server to manage and operate the content in the TESS platform. You can complete the setup and start using it in just a few steps.

Applicable scenarios

Suitable for enterprises or developers who need to automate the management of TESS platform agents and files, such as AI project development, data analysis, etc.

Main features

List agents
Get a list of all available agents on the TESS platform.
Get a specific agent
Query and display detailed information about a specific agent.
Execute an agent
Run an agent and pass personalized messages.
List files
Browse all files associated with an agent.
Bind a file to an agent
Link a file to a specific agent.
Advantages
Easy to integrate and use
Support multiple tools and functions
Provide comprehensive API documentation
Limitations
Requires a certain foundation in Node.js
Limited support for high concurrency

How to use

Install the server
Clone the repository and install the dependencies.
Configure environment variables
Create a.env file and add the TESS API key.
Start the server
Use npm to start the development mode or production mode.

Usage examples

Execute an agent task
Demonstrate how to send a request to the TESS platform to execute an agent task.
Upload a new file
Show how to bind a new file to a specific agent.

Frequently Asked Questions

How to install MCP-Server-TESS?
Does it support Docker?

Related resources

GitHub repository
Project source code and documentation.
Smithery.ai page
Use the server directly on Smithery.ai.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.5K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.2K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.7K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.2K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.0K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.6K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.2K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase