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Tao Chen
33 lines
1.8 KiB
Markdown
33 lines
1.8 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 |
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| **GitHub Integration with PAT (OpenAI Responses)** | [`mcp_github_pat_openai_responses.py`](mcp_github_pat_openai_responses.py) | Demonstrates connecting to GitHub's MCP server using PAT with OpenAI Responses Client |
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| **GitHub Integration with PAT (Azure OpenAI)** | [`mcp_github_pat_azure_chat.py`](mcp_github_pat_azure_chat.py) | Demonstrates connecting to GitHub's MCP server using PAT with Azure OpenAI Chat Client |
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## Prerequisites
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- `OPENAI_API_KEY` environment variable
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- `OPENAI_RESPONSES_MODEL_ID` environment variable
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For `mcp_github_pat_openai_responses.py`:
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- `GITHUB_PAT` - Your GitHub Personal Access Token (create at https://github.com/settings/tokens)
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- `OPENAI_API_KEY` - Your OpenAI API key
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- `OPENAI_RESPONSES_MODEL_ID` - Your OpenAI model ID
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For `mcp_github_pat_azure_chat.py`:
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- `GITHUB_PAT` - Your GitHub Personal Access Token (create at https://github.com/settings/tokens)
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- `AZURE_OPENAI_ENDPOINT` - Your Azure OpenAI endpoint
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- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` - Your Azure OpenAI chat deployment name
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- Or use Azure CLI credential for authentication (run `az login`)
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