MongoDB on Claude Managed Agents

Setup boilerplate for the Fraud Review Agent with MongoDB Atlas and Claude Managed Agents cookbook. The teaching code lives inline in the notebook — the four retrieval pipeline builders, the custom-tool handlers, and the requires_action gate loop are all defined there. This package holds only the pieces the notebook imports rather than reads.

Module	What's inside
config.py	Tunables, index names, and the MongoDB server-version check (supports_rank_fusion).
embeddings.py	An embedding + rerank client that adapts the MongoDB Atlas AI endpoint to the voyageai interface, so the cookbook is provider-agnostic.
tools.py	MongoDB Atlas setup — seed the collection, create the vector + Atlas Search indexes and wait until they are queryable and synced, preflight — plus the shared decision/audit document shapers used by the notebook's record_decision handler and the AP2 module.
ap2_mandates.py	AP2 (Agent Payments Protocol) mandate signing and verification (ES256 JWTs) — a crypto black box the notebook calls through verify_mandates and acts on its verdict.
seed.py	Loads the plaintext fixture from ../example_data/mongodb_on_cma/.

The MongoDB credential (MONGO_URI) only ever lives on your side of the boundary: pymongo runs in the notebook's host-side handlers, never in the agent context or its sandbox. See the cookbook for the connection pattern and the end-to-end fraud-review agent.