Qwert666 MCP Server Foundry
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
6.7K

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 datasets
Get a list of available datasets in the Foundry instance.
Query datasets
Retrieve specific content in the dataset according to specified conditions.
List ontology objects
Display ontology objects and their attributes in Foundry.
Query ontology objects
Search for specific ontology objects and get their detailed information.
List functions
Get a list of all supported functions in the system.
Execute functions
Call a specified function and pass parameters to complete a specific task.
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 datasets
Show how to query a specific dataset and extract relevant information.
Example of executing functions
Demonstrate 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.

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