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Python: MCP long-running task support in Python (#6319)

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* MCP long-running task support in Python

* Fix pyupgrade and AGENTS.md reconnect description

- pyupgrade: drop forward-reference string annotations in _mcp.py (Python 3.10+ resolves them natively now that MCPTaskOptions is defined before use).

- AGENTS.md: align reconnect description with current behavior. Phase 1 (initial tools/call) does NOT retry on connection loss; raises 'connection lost; task state unknown' instead, so a server that accepted the request but lost the response cannot start the operation twice. Phase 2 (tasks/get / tasks/result) still reconnects once against the same task_id.

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

* Fix bandit nosec marker for CI pipeline

* Address PR feedbacks

* Clarifiied comments and addressed more PR feedbacks.

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Peter Ibekwe
2026-06-05 00:04:55 +00:00
committed by GitHub
co-authored by Copilot
parent 01fc518b29
commit bf4ad48cf2
7 changed files with 1894 additions and 44 deletions
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python/samples/02-agents/mcp/README.md
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@@ -13,9 +13,12 @@ The Model Context Protocol (MCP) is an open standard for connecting AI agents to
| **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 |
| **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 |
| **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 |
| **Long-Running Task** | [`mcp_long_running_task.py`](mcp_long_running_task.py) | Demonstrates transparent SEP-2663 long-running task handling for MCP tools that advertise `taskSupport=required`. Self-spawns a stdio MCP child server |
## Prerequisites
Most samples in this folder use OpenAI:
- `OPENAI_API_KEY` environment variable
- `OPENAI_CHAT_MODEL` environment variable
@@ -23,3 +26,8 @@ Run `mcp_api_key_auth.py` with the MCP API key as the first command-line argumen
For `mcp_github_pat.py`:
- `GITHUB_PAT` - Your GitHub Personal Access Token (create at https://github.com/settings/tokens)
For `mcp_long_running_task.py` (uses Azure OpenAI via Entra-ID):
- Run `az login` once
- `AZURE_OPENAI_ENDPOINT` - your Azure OpenAI resource endpoint, e.g. `https://<resource>.openai.azure.com/`
- `AZURE_OPENAI_CHAT_MODEL` (or `AZURE_OPENAI_MODEL`) - the deployment name (e.g. `gpt-4o-mini`)