Q

Qwert666 MCP Server Foundry

A model context protocol server for interacting with the Foundry platform, supporting AI assistants to operate on datasets, ontology objects, and execute functions.
2 points
7

What is the Foundry MCP Server?

The Foundry MCP Server is a Model Context Protocol (MCP) server that allows AI assistants to interact with datasets, ontology objects, and functions in Foundry. It provides an efficient way for developers and users to access and manage resources in Foundry.

How to use the Foundry MCP Server?

By configuring environment variables and running the server, you can easily query datasets, browse ontology objects, and execute specific functions. It provides powerful tools for developers to simplify workflows.

Applicable scenarios

Suitable for developers and analysts who need to frequently access Foundry datasets, ontology objects, or perform specific tasks. For example, automated data analysis, model training data preparation, and business logic verification.

Main features

List datasetsGet a list of available datasets in the Foundry instance.
Query datasetsRetrieve specific content in the dataset according to specified conditions.
List ontology objectsDisplay ontology objects and their attributes in Foundry.
Query ontology objectsSearch for specific ontology objects and get their detailed information.
List functionsGet a list of all supported functions in the system.
Execute functionsCall a specified function and pass parameters to complete a specific task.

Advantages and limitations

Advantages
Simplify the integration process with Foundry and improve development efficiency.
Support multiple query methods to meet different needs.
Easy to expand and add new functions as needed.
Limitations
Depends on the Python 3.9+ environment.
Requires correct configuration of environment variables to run properly.
May need to optimize performance for large - scale data processing.

How to use

Clone the code repository
First, you need to clone the Foundry MCP Server code repository from GitHub.
Install dependencies
Ensure that Python 3.9 or higher is installed and install the required Python packages.
Configure environment variables
Set the necessary environment variables, such as HOSTNAME, TOKEN, CLIENT_ID, etc.
Start the server
Run the server and listen for requests from clients.

Usage examples

Example of querying datasetsShow how to query a specific dataset and extract relevant information.
Example of executing functionsDemonstrate how to call a function and get the result.

Frequently Asked Questions

How to generate a personal token?
What will happen if I forget to configure some environment variables?
Does it support custom functions?

Related resources

GitHub code repository
Access the project source code and documentation.
Foundry official documentation
Learn the basics of the Foundry platform.
MCP protocol official website
More information about the Model Context Protocol.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
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
141
4.5 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
86
4.3 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
1.7K
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
830
4.3 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
6.7K
4.5 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#
567
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
754
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
284
4.5 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase