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Eduard van Valkenburg
95fd5ec658
* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename * updated coverage * fix readme
26 lines
1.3 KiB
Markdown
26 lines
1.3 KiB
Markdown
# MCP (Model Context Protocol) Examples
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This folder contains examples demonstrating how to work with MCP using Agent Framework.
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## What is MCP?
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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.
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## Examples
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| Sample | File | Description |
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| **Agent as MCP Server** | [`agent_as_mcp_server.py`](agent_as_mcp_server.py) | Shows how to expose an Agent Framework agent as an MCP server that other AI applications can connect to |
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| **API Key Authentication** | [`mcp_api_key_auth.py`](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 |
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| **GitHub Integration with PAT** | [`mcp_github_pat.py`](mcp_github_pat.py) | Demonstrates connecting to GitHub's MCP server using Personal Access Token (PAT) authentication |
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## Prerequisites
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- `OPENAI_API_KEY` environment variable
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- `OPENAI_CHAT_MODEL` environment variable
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Run `mcp_api_key_auth.py` with the MCP API key as the first command-line argument.
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For `mcp_github_pat.py`:
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- `GITHUB_PAT` - Your GitHub Personal Access Token (create at https://github.com/settings/tokens)
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