MCP Foundry connects to Azure AI Foundry, providing tools for AI model management and evaluation. It exposes APIs for model deployment, monitoring, and performance tracking. Developers use it to streamline AI operations, track model metrics, and integrate with Azure AI services.
MCP Foundry connects to Azure AI Foundry, providing tools for AI model management and evaluation. It exposes APIs for model deployment, monitoring, and performance tracking. Developers use it to streamline AI operations, track model metrics, and integrate with Azure AI services.
pip install mcp-foundryAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"microsoft-foundry-mcp-foundry-github": {
"command": "uvx",
"args": [
"pip install mcp-foundry"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp foundry?"
API Key Required
This server requires an API key from mcp foundry. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_FOUNDRY_API_KEY | Yes | Your mcp foundry API key |
"What resources are available in mcp foundry?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp foundry"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp foundry with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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