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Mongo Scout MCP

by bluworkversion 1.0.3i★ –iRuns on your computer
Registry nameio.github.bluwork/mongo-scout-mcp

Install

Overview

Description from the maker (original English)

Scout your MongoDB databases with AI - safety features, live monitoring, and data quality

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mongo-scout": {
      "command": "npx",
      "args": [
        "-y",
        "mongo-scout-mcp",
        "read-only",
        "mongodb://localhost:27017",
        "test"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mongo-scout -- npx -y mongo-scout-mcp read-only mongodb://localhost:27017 test

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mongo-scout": {
      "command": "npx",
      "args": [
        "-y",
        "mongo-scout-mcp",
        "read-only",
        "mongodb://localhost:27017",
        "test"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mongo-scout": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mongo-scout-mcp",
        "read-only",
        "mongodb://localhost:27017",
        "test"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account bluwork, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 954 servers in this category
  • Published to the registry more recently than 5% of the other 954 servers in this category
  • Basic checks equal to or better than 100% of the other 954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Mongo Scout MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.3) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 3 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Mongo Scout MCP

Scout your MongoDB databases with AI - A production-ready Model Context Protocol server with built-in safety features, live monitoring, and data quality tools.

What You Get

You ask:

*"Anything unusual happening with order volume this month?"*

Mongo Scout returns:


Volume Analysis: orders

Statistics (last 30 days)

MetricValue
Daily Average2,847 documents
Standard Deviation412
Min / Max1,923 / 3,601

Anomalies Detected

  • Feb 14 — 5,892 documents (+7.4σ) — Valentine's Day spike
  • Feb 22 — 847 documents (-4.9σ) — Payment gateway outage window
  • Mar 1 — 4,201 documents (+3.3σ) — Month-start subscription renewals

Recommendations

  • Feb 22 drop warrants investigation — possible data loss during outage
  • Consider auto-scaling rules for predictable spikes (month boundaries, holidays)
  • Set up alerts for volumes exceeding ±3σ from rolling average

That's detectVolumeAnomalies — one of 50 tools covering exploration, querying, diagnostics, monitoring, data quality, and safe writes.

Quick Start

Claude Code
claude mcp add mongo-scout -- npx -y mongo-scout-mcp mongodb://localhost:27017 mydb

Then ask: *"What collections do I have and what do their schemas look like?"*

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{

"mcpServers": { "mongo-scout": { "command": "npx", "args": ["-y", "mongo-scout-mcp", "mongodb://localhost:27017", "mydb"], "type": "stdio" } } }

Cursor / VS Code

Add to your MCP settings:

{

"mongo-scout": { "command": "npx", "args": ["-y", "mongo-scout-mcp", "mongodb://localhost:27017", "mydb"] } }

Read-Only vs Read-Write

The server runs in read-only mode by default. For write operations, run a separate instance:

{

"mcpServers": { "mongo-scout-readonly": { "command": "npx", "args": ["-y", "mongo-scout-mcp", "--read-only", "mongodb://localhost:27017", "mydb"], "type": "stdio" }, "mongo-scout-readwrite": { "command": "npx", "args": ["-y", "mongo-scout-mcp", "--read-write", "mongodb://localhost:27017", "mydb_dev"], "type": "stdio" } } }

  • mongo-scout-readonly: Safe exploration, no risk of data modification
  • mongo-scout-readwrite: Write operations when explicitly needed

Tools

Explore — understand your database
  • listDatabases — all databases in the instance
  • getDatabaseStats — storage and performance statistics
  • listCollections — collections in the current database
  • getCollectionStats — size, document count, index details
  • inferSchema — schema inference from sampled documents
Query — find and analyze documents
  • find — query documents with filtering, sorting, projection
  • aggregate — run aggregation pipelines
  • count — count documents matching a query
  • distinct — unique values for a field
  • textSearch — full-text search across indexed fields
  • explainQuery — query execution plan analysis
Diagnose — spot problems early
  • detectVolumeAnomalies — unusual patterns in document volume
  • analyzeQueryPerformance — query optimization using explain plans
Monitor — watch it live
  • getServerStatus — server performance metrics
  • getCurrentOperations — currently running operations
  • getConnectionPoolStats — connection pool health
  • getProfilerStats — profiler data and slow operations
  • getLiveMetrics — real-time metrics with continuous updates
  • getHottestCollections — collections with highest activity
  • getCollectionMetrics — detailed per-collection metrics
  • getSlowestOperations — slow query tracking
  • runAdminCommand — execute admin commands
Data Quality — trust your data
  • findDuplicates — duplicate documents by field combination
  • findOrphans — orphaned references across collections
  • findMissingFields — documents missing required fields
  • findInconsistentTypes — type inconsistencies across documents
  • validateDocuments — custom validation with MongoDB $expr
Relationships — follow the references
  • exploreRelationships — multi-hop relationship traversal
Time Series — temporal analysis
  • findRecent — documents within a time window
  • findInTimeRange — date range queries with optional grouping
Indexes — manage your indexes
  • listIndexes — all indexes for a collection
  • createIndex — create new indexes
  • dropIndex — remove indexes
Export — get data out
  • exportCollection — JSON, JSONL, or CSV
  • cloneCollection — clone with filtering and index copying
Preview — dry-run before changing anything
  • previewUpdate / previewDelete — see what would change before committing
  • previewBulkWrite — preview bulk operations
Write (read-write only) — safe modifications
  • insertOne / insertMany — insert documents
  • updateOne / updateMany — update with dryRun and maxDocuments limits
  • replaceOne — replace a single document
  • findOneAndUpdate — find and update atomically
  • deleteOne / deleteMany — delete with dryRun and maxDocuments limits
  • bulkWrite — multiple write operations in one call
  • renameField — rename fields with dry-run and index migration
  • createCollection / dropCollection — collection management

Security

  • Read-only by default — write operations must be explicitly enabled
  • All queries are validated and sanitized
  • MongoDB operator injection protection
  • Connection string credential redaction in logs
  • Rate limiting on all operations
  • Response size limits to prevent memory exhaustion

Examples

*"What collections do I have and what's the schema of users?"*

listCollections()

inferSchema({ collection: "users", sampleSize: 50 })

*"Find duplicate emails in the users collection."*

findDuplicates({ collection: "users", fields: ["email"], options: { limit: 100 } })

*"Show me order volume anomalies over the last month."*

detectVolumeAnomalies({ collection: "orders", timestampField: "createdAt", options: { groupBy: "day", lookbackPeriods: 30 } })

*"What's happening on the server right now?"*

getServerStatus()

getCurrentOperations() getHottestCollections({ limit: 5, sampleDuration: 5000 })

*"Find orders that reference deleted users."*

findOrphans({ collection: "orders", localField: "userId", foreignCollection: "users", foreignField: "_id" })

*"Export the products collection as CSV."*

exportCollection({ collection: "products", options: { format: "csv", flatten: true } })

Configuration

VariableDefaultDescription
ENABLE_LOGGINGfalseEnable file logging
LOG_DIR./logsLog file directory

CLI flags: --read-only (default), --read-write, --mode

Logging

File logging is disabled by default. Set ENABLE_LOGGING=true to enable. Two log files are created in LOG_DIR:

  • tool-usage.log — every tool call with timestamp, name, and arguments
  • error.log — errors with stack traces

Connection strings are automatically redacted in all output.

ObjectId Format

Both formats accepted:

{ "_id": { "$oid": "507f1f77bcf86cd799439011" } }

{ "_id": "507f1f77bcf86cd799439011" }

Development

git clone https://github.com/bluwork/mongo-scout-mcp.git

cd mongo-scout-mcp pnpm install pnpm build pnpm test

License

Apache-2.0

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