motor

Async Python driver for MongoDB — provides coroutine-based async API over pymongo for use with asyncio and Tornado. motor 3.x features: AsyncIOMotorClient for connection, AsyncIOMotorDatabase and AsyncIOMotorCollection for operations, same query API as pymongo (find/insert/update/delete/aggregate), async cursor with async for iteration, async change streams, async transactions, AsyncIOMotorGridFS, compatibility with FastAPI and Starlette, and motor.frameworks.tornado for Tornado framework.

Evaluated Mar 06, 2026 (0d ago) v3.x
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⚙ Agent Friendliness
66
/ 100
Can an agent use this?
🔒 Security
86
/ 100
Is it safe for agents?
⚡ Reliability
84
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
85
Auth Simplicity
88
Rate Limits
95

🔒 Security

TLS Enforcement
88
Auth Strength
88
Scope Granularity
85
Dep. Hygiene
90
Secret Handling
82

Async MongoDB driver. Same security considerations as pymongo. TLS: AsyncIOMotorClient(tls=True). NoSQL injection risk with user-controlled query filters. Store connection URL in environment variables. MongoDB ACL for collection-level permissions.

⚡ Reliability

Uptime/SLA
85
Version Stability
85
Breaking Changes
82
Error Recovery
85
AF Security Reliability

Best When

FastAPI, Starlette, or asyncio applications needing MongoDB — motor is the official async MongoDB driver with identical API to pymongo.

Avoid When

Synchronous code (use pymongo), non-asyncio frameworks, or simple scripts.

Use Cases

  • Agent async MongoDB — from motor.motor_asyncio import AsyncIOMotorClient; client = AsyncIOMotorClient('mongodb://localhost:27017'); db = client['mydb']; async def insert_doc(data): result = await db.documents.insert_one(data); return result.inserted_id — async insert; agent uses MongoDB in async FastAPI or asyncio application
  • Agent async query — async def get_active_users(): cursor = db.users.find({'status': 'active'}, projection={'name': 1, 'email': 1}).sort('name', 1).limit(100); return [doc async for doc in cursor] — async iteration; agent queries MongoDB with async for loop on cursor; cursor methods (sort, limit, skip) are synchronous; await on terminal operations
  • Agent async aggregation — async def aggregate_data(): pipeline = [{'$match': {'active': True}}, {'$group': {'_id': '$category', 'total': {'$sum': '$amount'}}}]; cursor = db.sales.aggregate(pipeline); return await cursor.to_list(length=None) — async aggregation; agent runs analytics; to_list(None) materializes all results
  • Agent FastAPI integration — from fastapi import FastAPI; from motor.motor_asyncio import AsyncIOMotorClient; app = FastAPI(); @app.on_event('startup'); async def startup(): app.mongodb_client = AsyncIOMotorClient(settings.MONGODB_URL); app.mongodb = app.mongodb_client[settings.DB_NAME]; @app.get('/items'); async def list_items(db=Depends(get_db)): return await db.items.find({}).to_list(100) — FastAPI; standard motor+FastAPI pattern
  • Agent async change streams — async def watch_changes(): async with db.documents.watch() as stream: async for change in stream: await handle_change(change) — async watch; agent monitors MongoDB collection for real-time changes with async iteration; requires replica set

Not For

  • Synchronous code — use pymongo for synchronous applications; motor adds async overhead to sync code
  • Non-asyncio frameworks — motor supports asyncio and Tornado; for other async frameworks check compatibility
  • Simple scripts — pymongo is simpler for synchronous scripts; motor adds async boilerplate

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: password x509 aws_iam
OAuth: No Scopes: No

Same auth as pymongo: SCRAM-SHA-256, X.509, AWS IAM, via connection URL.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

motor is Apache 2.0 licensed. Free for all use.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • AsyncIOMotorClient per event loop — motor client binds to the running event loop; in FastAPI: create client at startup event, not at module level; if event loop changes (testing), must recreate client; agent code: use app lifecycle events (startup/shutdown) to create and close client; store on app.state
  • cursor methods are synchronous, terminal operations async — cursor = db.col.find({}); cursor.sort('field', 1).limit(10) are synchronous modifier methods (no await); await cursor.to_list(100) or async for doc in cursor: are async terminal operations; agent code: chain sync modifiers before awaiting; next(cursor) is sync — use await cursor.next() or async for
  • to_list(length) requires explicit limit — cursor.to_list(length=None) fetches ALL documents (memory issue for large collections); cursor.to_list(length=100) fetches up to 100; agent code: always specify reasonable length; for large result sets: use async for doc in cursor: to stream; avoid to_list(None) without filter
  • Transactions require replica set — await session.start_transaction() requires MongoDB replica set or Atlas; local mongod single node: rs.initiate() first; agent code: test with MongoDB Atlas or local replica set; TransactionError if not replica set; sessions and transactions same API as pymongo
  • close() not awaitable in all versions — client.close() in motor 3.x is synchronous; call in shutdown handler without await; motor 2.x had different close behavior; agent FastAPI: @app.on_event('shutdown') def shutdown(): app.mongodb_client.close() — sync close
  • Collection names are attributes not methods — db['collection'] and db.collection both work; db.collection is attribute access; db['my-collection'] for hyphenated names (not valid Python identifier); agent code: use db['collection-name'] for names with hyphens or other special chars; db.users and db['users'] are identical

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Scores are editorial opinions as of 2026-03-06.

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