Python: Fix local MCP tools with AzureAIProjectAgentProvider#3315
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giles17 merged 2 commits intomicrosoft:mainfrom Jan 21, 2026
Merged
Python: Fix local MCP tools with AzureAIProjectAgentProvider#3315giles17 merged 2 commits intomicrosoft:mainfrom
AzureAIProjectAgentProvider#3315giles17 merged 2 commits intomicrosoft:mainfrom
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Pull request overview
This PR fixes an issue where local MCP tools (MCPTool) were not working with AzureAIProjectAgentProvider. The Azure AI Responses API requires tools to be defined on the agent at creation time, but local MCP tools were being filtered out because the system only recognized HostedMCPTool instances.
Changes:
- Modified
create_agentto detect and connect MCP tools before agent creation, extracting their functions for Azure AI - Updated
_merge_toolsto include MCPTool instances alongside AIFunction instances for ChatAgent runtime handling - Added comprehensive unit tests covering MCP tool integration scenarios
- Updated the sample to demonstrate proper MCP tool usage with context manager pattern
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py | Core fix: Separates MCP tools from other tools, connects them early to discover functions, and passes functions to Azure AI while preserving original MCP tool instances for ChatAgent |
| python/packages/azure-ai/tests/test_provider.py | Adds MockMCPTool helper class and two comprehensive test cases validating MCP tool connection and function discovery |
| python/samples/getting_started/agents/azure_ai/azure_ai_with_local_mcp.py | Updates sample to extract MCP tool initialization and adds agent context manager for proper cleanup (contains duplicate print statement) |
python/samples/getting_started/agents/azure_ai/azure_ai_with_local_mcp.py
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dmytrostruk
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Jan 21, 2026
markwallace-microsoft
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Jan 21, 2026
arisng
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Feb 2, 2026
…soft#3315) * azureai v2 local mcp fix * addressed copilot comments
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Motivation and Context
Fixes an issue where
MCPStreamableHTTPTool(and other local MCP tools) were not working withAzureAIProjectAgentProvider. The agent would respond using its training data instead of calling the MCP server tools.The Azure AI Responses API requires tools to be defined on the agent at creation time - they cannot be passed at request time like with OpenAI's API. Local MCP tools (
MCPTool) were being filtered out during agent creation becauseto_azure_ai_tools()only recognizedHostedMCPTool, not localMCPToolinstances.Resolves #3303
Description
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