MongoDB

storage.mongo Storage v0.1.0

Runs one MongoDB operation over the dependency-free OP_MSG wire client: find, insert many, update many, delete many, or an aggregation pipeline. Leave documents empty to insert the input payload.

Finding it in the library

Search the builder's node library for MongoDB (it lives under Storage). A single click opens the in-editor docs panel shown here — description, ports, and every property, without leaving the canvas. Double-click (or drag) to add it to the workflow.

Library capture pending — regenerate with npm run shots:nodes.

Wired up in the builder

MongoDB in a real, runnable flow — captured live from the Studio editor, exactly as it looks on your canvas. This is the same workflow used for the example input & output below.

Canvas capture pending — regenerate with npm run shots:nodes.

How it’s configured

The node’s Configure panel as it opens in the builder when you select the step — every setting laid out with real values. Click any field to edit it.

Config capture pending — regenerate with npm run shots:nodes. See the full property reference below.

Ports

Ports are the node’s contract with its neighbours. In the editor a port label renders bold when wired and italic when optional; ◈ ports accept attachment carriers rather than data wires.

Direction	Port	Label	What flows through it
Input	`input`	Input
Output	`output`	Result

How data flows through it

MongoDB consumes the content of the incoming envelope — when it is fed directly by a trigger, the trigger’s wrapper is unwrapped at the node boundary so the node sees the actual data, not the metadata shell. Its output becomes the payload for the next node, while the envelope (trace ids, correlation, binary refs) rides along untouched. In the Runs view you always see the whole envelope for both sides of this node.

Expressions in the config

String-typed properties accept {{ }} expressions evaluated against the incoming item at run time — e.g. {{ $json.customer.email }}. On this node that’s uri, user, password, authDb, database, collection. JSON- and code-typed fields never interpolate — they are passed through literally.

Build it with AI

Every node in this reference is reachable through Flowdrome’s AI Copilot and the MCP tools — say what you want, and the graph surgery happens server-side. Node types resolve fuzzily, so the catalog label (MongoDB) works as well as the exact type id (storage.mongo).

In the Copilot panel (or any connected AI):

add a mongodb node after the trigger

As a step in a create_chain_workflow call:

{"type":"MongoDB","config":{}}

Raw MCP call — add this node to a workflow with add_node

curl -s -X POST http://localhost:48170/mcp -H "content-type: application/json" -d '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "add_node", "arguments": { "workflowId": "<id>", "type": "MongoDB" } } }'

Example input & output

Captured from a real test run of the workflow above — this is what you see in the run data panel after pressing Test workflow.

Input — what the node received

{
  "inserted": 1,
  "ids": [
    "6a2c91399438e75c496c4795"
  ]
}

Output — what the node produced

{
  "documents": [
    {
      "_id": "6a2c91399438e75c496c4795",
      "sku": "wrench-x",
      "qty": 3
    }
  ],
  "count": 1
}

Property reference

Every setting, with its type and default — the same fields shown configured in the panel above.

Property	Type	Default	Description
Credential `credentialId`	`credential`	`""`	Use a stored credential for this connection — its fields are filled in at run start. Pick "None" to enter the connection details manually. accepts credential templates: `mongo`
URI `uri`	`string`	`"mongodb://localhost:27017"`	mongodb://host:port[,host:port…] — credentials go in the User/Password fields, NOT in the URI.
User `user`	`string`	`""`	MongoDB user (SCRAM-SHA-256). Leave blank to skip authentication.
Password `password`	`string`	`""`	MongoDB password — supports ${credential.NAME.FIELD}. ASCII only in v1 (SASLprep is a no-op).
Auth database `authDb`	`string`	`"admin"`	The database the user is defined in.
Database `database`	`string`	`""`	Database to operate on (required).
Collection `collection`	`string`	`""`	Collection to operate on (required).
Operation `operation`	`select`	`"find"`	find/aggregate read documents; insertMany/updateMany/deleteMany write. find/aggregate return the first batch only (keep the limit within one batch). `aggregatedeleteManyfindinsertManyupdateMany`
Filter `filter`	`json`	`{}`	Query filter as JSON, e.g. {"status": "open"}. {"$oid": "…"} becomes an ObjectId; {"$date": "…"} becomes a date. Shown when `["find", "updateMany", "deleteMany"].includes(operation ?? "find")`
Documents `documents`	`json`	`[]`	Documents to insert as a JSON array. Leave empty to insert the input payload (array → documents, object → one document). Shown when `operation === "insertMany"`
Update `update`	`json`	`{}`	Update document — top-level keys must be $-operators, e.g. {"$set": {"status": "done"}}. Shown when `operation === "updateMany"`
Pipeline `pipeline`	`json`	`[]`	Aggregation pipeline as a JSON array of stages. Shown when `operation === "aggregate"`
Sort `sort`	`json`	`{}`	Sort specification, e.g. {"createdAt": -1}. Shown when `(operation ?? "find") === "find"`
Limit `limit`	`int`	`100`	Result cap for find/aggregate. v1 reads the first batch only — values above 5000 risk truncation. Shown when `["find", "aggregate"].includes(operation ?? "find")`
Timeout (ms) `timeoutMs`	`int`	`15000`	Abort the whole conversation after this many milliseconds.

Related nodes

The rest of the Storage group — the same folder you’d scan in the editor’s library.

This page is generated from the node registry by gen-node-docs.mjs on every site build — ports, properties, defaults and visibility rules cannot drift from the code. The screenshots and example data are captured from a live Flowdrome by npm run shots:nodes and npm run gen:examples.