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Eduard van Valkenburg 95fd5ec658 Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056 )

* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename

* updated coverage

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agent_as_mcp_server.py

Python: Add header_provider to Streamable HTTP MCP servers (#4849 )

2026-03-31 17:23:49 +00:00

mcp_api_key_auth.py

Python: Add header_provider to Streamable HTTP MCP servers (#4849 )

2026-03-31 17:23:49 +00:00

mcp_github_pat.py

Python: Add header_provider to Streamable HTTP MCP servers (#4849 )

2026-03-31 17:23:49 +00:00

README.md

Python: [BREAKING] Python: move Azure AI embeddings to Foundry (#5056 )

2026-04-02 11:26:35 +00:00

README.md

MCP (Model Context Protocol) Examples

This folder contains examples demonstrating how to work with MCP using Agent Framework.

What is MCP?

The Model Context Protocol (MCP) is an open standard for connecting AI agents to data sources and tools. It enables secure, controlled access to local and remote resources through a standardized protocol.

Examples

Sample	File	Description
Agent as MCP Server	`agent_as_mcp_server.py`	Shows how to expose an Agent Framework agent as an MCP server that other AI applications can connect to
API Key Authentication	`mcp_api_key_auth.py`	Demonstrates API key authentication with MCP servers using `header_provider`, runtime invocation kwargs, and a command-line API key argument
GitHub Integration with PAT	`mcp_github_pat.py`	Demonstrates connecting to GitHub's MCP server using Personal Access Token (PAT) authentication

Prerequisites

OPENAI_API_KEY environment variable
OPENAI_CHAT_MODEL environment variable

Run mcp_api_key_auth.py with the MCP API key as the first command-line argument.

For mcp_github_pat.py:

GITHUB_PAT - Your GitHub Personal Access Token (create at https://github.com/settings/tokens)