imohweb/mcp-server-foundryAgent-Azure-ML-Integration
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The Model Context Protocol (MCP) server acts as a secure middleware layer, enabling AI agents to safely interact with enterprise systems, such as Azure Machine Learning, through standardized tool-calling mechanisms.
Tools
Functions exposed to the LLM to take actions
run_aml_pipeline
Triggers an Azure ML pipeline job.
list_aml_experiments
Lists all experiments in the Azure ML workspace.
get_aml_job_status
Gets the status and details of a specific Azure ML job.
greet
Simple greeting function for validating MCP tool calling.
add_numbers
Adds two numbers - useful for testing tool parameter passing.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client