Summary

Audit MongoDB adapter data patterns, indexes, and query patterns to identify performance bottlenecks and create a remediation plan for production readiness.

Context

• Mastra is an open-source framework for TypeScript for building AI applications and  agents. It provides the fundamental building blocks like tools, memory, and multi-step workflows to let developers quickly build, test, and deploy production-ready AI agents.
• This document provides an overview of the gaps we aim to close with the Mastra -MongoDB integration: Mastra-MongoDB Integration State Analysis. The scope of this ticket fall under Section 1: Data Modelling and Implementation.

Additionally, this repository provides a quick start template to test Mastra with MongoDB. 

Problem

The MongoDB adapter works functionally but uses patterns that may not scale to production workloads:

• JSON payloads stored as strings instead of native BSON
• Custom id fields instead of _id
• Unknown index coverage for real query patterns
• No transactions around multi-step operations
• No performance benchmarks or capacity planning guidance

Before fixing these issues, we need to understand:

• Which patterns are actually problematic vs theoretical concerns
• What the real query patterns are (not just what we assume)
• Where indexes are missing or suboptimal
• Performance impact at realistic data volumes

Spike Goals

This spike will produce a technical design document that addresses production-readiness across these surfaces (see Mastra-MongoDB Integration State Analysis for reference):

Data Model Analysis

• Review all MongoDB schemas across memory, RAG, vectors, observability, scores
• Document use of stringified JSON vs native BSON
• Identify foreign key relationships and how they're modeled
• Flag any schema anti-patterns

Index Coverage Analysis

• List all existing indexes in the MongoDB adapter
• For each top query pattern, determine if an index exists
• Identify missing indexes that would improve performance
• Flag redundant or unused indexes
• Check for covered queries vs index + collection scans

Transaction & Consistency Analysis

• List all multi-step operations (e.g., saveMessages + thread update)
• Document current concurrency/error handling
• Identify consistency risks (race conditions, partial failures)
• Recommend where transactions are needed vs nice-to-have

Out of Scope

This spike does NOT implement fixes, only research and planning. Implementation will be separate tickets based on this spike's findings and recommendations.

Related Links

• MongoDB adapter source
• Mastra-MongoDB Integration State Analysis.