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MemoFlow MCP adapter for Python

Provider-library-independent MCP tool adapter for server-backed MemoFlow activities. It reserves tool budget before dispatch, records immutable invocation and tool-effect transitions, injects a stable idempotency key, and restores settled results from protected durable output before any new budget or network effect.

adapter = McpToolAdapter(client)
result = await adapter.call_tool(McpToolRun(
    server=McpServer("notes", version="1"),
    tool=McpTool("save_note", version="1", arguments={"note": "hello"}),
    budget=AiBudgetEstimate(total_tokens=0, tool_calls=1),
    recorded_replay_key="save-note-turn-1",
))

The injected client is structural and must provide an async call_tool method. This keeps the durability boundary independent of any particular MCP transport package.

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