OpenAICodex

Connect Codex to MongoDB

Give an AI agent your Mongodb as a tool and it can read and change your data directly instead of only proposing queries. It can run aggregation pipelines, write documents in bulk, count and pull distinct values, run Atlas Text and Facet Search, and create or drop indexes on its own, calling each as a tool while it works through a task. That turns a coding agent into something that can investigate a collection, reshape it, and tune its indexes without a human running each command.

Loading preview…
Opens a workflow with 38 tools ready to use.

Tools Codex gets

Pick the operations you want and each becomes a tool the agent can call directly while it works.

MongoDB

38 tools
Find Documents
Find One Document
Insert One Document
Insert Many Documents
Update One Document
Update Many Documents
Replace One Document
Delete One Document
Delete Many Documents
Count Documents
Estimated Document Count
Distinct Values
Bulk Write
Find One and Update
Find One and Delete
Find One and Replace
Aggregate
List Collections
Create Collection
Drop Collection
Rename Collection
Create Index
List Indexes
Drop Index
Drop All Indexes
Vector Search
Create Vector Search Index
List Search Indexes
Update Search Index
Delete Search Index
Atlas Text Search
Create Atlas Search Index
Atlas Facet Search
List Databases
Drop Database
Run Command
Upload & Index Document
Create Multiple Indexes

What you can build

On a nightly schedule, run an aggregation pipeline over the day's orders and bulk write the rolled-up totals into a summary collection.
When a signup form is submitted, bulk write the record into your users collection and read back an estimated document count for a live total.
When a support ticket arrives, run Atlas Text Search across past tickets to surface similar issues before an agent replies.
Power a product page's filters by running Atlas Facet Search to return category and price counts alongside the matching documents.
When embeddings are generated for new content, create a vector search index so semantic search stays current with your data.
On a weekly schedule, drop stale indexes and rebuild the set with Create Multiple Indexes to keep queries fast.

About Codex

Codex is OpenAI's command-line coding agent. NoClick runs it as a hosted agent and lets you connect your apps to it as tools, turning it from a coding assistant into an operator that can act across your systems. Connect an integration to the agent and Codex can query, create, and update records in that app directly. You keep the Codex experience and give it real reach into the tools your team already uses.

Fast, capable code generation and editing
Good at well-scoped, concrete tasks
Strong at API and data manipulation
Familiar to teams already on OpenAI tooling

Frequently asked questions

Popular Codex pairs

Open your Codex agent in one click

NoClick runs Codex for you with MongoDB wired in as tools. Connect your account and run.