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Eduard van Valkenburg 9c57680f00 Python: Add header_provider to Streamable HTTP MCP servers (#4849 )

* Python: Add header_provider to MCPStreamableHTTPTool (#4808)

Add a header_provider callback parameter to MCPStreamableHTTPTool that
enables injecting dynamic per-request HTTP headers from runtime kwargs
(originating from FunctionInvocationContext.kwargs set in agent middleware).

The implementation uses contextvars and httpx event hooks to ensure headers
are task-local and safe for concurrent tool calls:

- header_provider receives the runtime kwargs dict and returns headers
- call_tool sets a ContextVar before delegating to MCPTool.call_tool
- An httpx request event hook reads from the ContextVar and injects headers

Example usage:
    mcp_tool = MCPStreamableHTTPTool(
        name="web-api",
        url="https://api.example.com/mcp",
        header_provider=lambda kwargs: {
            "X-Auth-Token": kwargs.get("auth_token", ""),
        },
    )

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #4808: Python: [Bug]: Unable to pass AgentContext to MCPStreamableHTTPTool

* Add test for header_provider via FunctionTool.invoke with FunctionInvocationContext

Addresses PR review comment: exercises the full pipeline from
FunctionInvocationContext.kwargs through FunctionTool.invoke to
MCPStreamableHTTPTool.call_tool and header_provider, rather than
testing call_tool in isolation.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #4808: review comment fixes

* Fix streamable MCP transport defaults

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Azure AI test client mocks

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix MCP runtime kwarg regressions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Stabilize MCP tool runtime kwargs

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use context kwargs in MCP wrappers

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated mcp samples

* fix link

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

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

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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_RESPONSES_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)

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MCP (Model Context Protocol) Examples

What is MCP?

Examples

Prerequisites

1.3 KiB

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