Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Scout your MongoDB databases with AI - safety features, live monitoring, and data quality
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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 testPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account bluwork, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.3) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
Scout your MongoDB databases with AI - A production-ready Model Context Protocol server with built-in safety features, live monitoring, and data quality tools.
You ask:
*"Anything unusual happening with order volume this month?"*
Mongo Scout returns:
ordersStatistics (last 30 days)
| Metric | Value |
|---|---|
| Daily Average | 2,847 documents |
| Standard Deviation | 412 |
| Min / Max | 1,923 / 3,601 |
Anomalies Detected
Recommendations
That's detectVolumeAnomalies — one of 50 tools covering exploration, querying, diagnostics, monitoring, data quality, and safe writes.
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" } } }
listDatabases — all databases in the instancegetDatabaseStats — storage and performance statisticslistCollections — collections in the current databasegetCollectionStats — size, document count, index detailsinferSchema — schema inference from sampled documentsfind — query documents with filtering, sorting, projectionaggregate — run aggregation pipelinescount — count documents matching a querydistinct — unique values for a fieldtextSearch — full-text search across indexed fieldsexplainQuery — query execution plan analysisdetectVolumeAnomalies — unusual patterns in document volumeanalyzeQueryPerformance — query optimization using explain plansgetServerStatus — server performance metricsgetCurrentOperations — currently running operationsgetConnectionPoolStats — connection pool healthgetProfilerStats — profiler data and slow operationsgetLiveMetrics — real-time metrics with continuous updatesgetHottestCollections — collections with highest activitygetCollectionMetrics — detailed per-collection metricsgetSlowestOperations — slow query trackingrunAdminCommand — execute admin commandsfindDuplicates — duplicate documents by field combinationfindOrphans — orphaned references across collectionsfindMissingFields — documents missing required fieldsfindInconsistentTypes — type inconsistencies across documentsvalidateDocuments — custom validation with MongoDB $exprexploreRelationships — multi-hop relationship traversalfindRecent — documents within a time windowfindInTimeRange — date range queries with optional groupinglistIndexes — all indexes for a collectioncreateIndex — create new indexesdropIndex — remove indexesexportCollection — JSON, JSONL, or CSVcloneCollection — clone with filtering and index copyingpreviewUpdate / previewDelete — see what would change before committingpreviewBulkWrite — preview bulk operationsinsertOne / insertMany — insert documentsupdateOne / updateMany — update with dryRun and maxDocuments limitsreplaceOne — replace a single documentfindOneAndUpdate — find and update atomicallydeleteOne / deleteMany — delete with dryRun and maxDocuments limitsbulkWrite — multiple write operations in one callrenameField — rename fields with dry-run and index migrationcreateCollection / dropCollection — collection management*"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 } })
| Variable | Default | Description |
|---|---|---|
ENABLE_LOGGING | false | Enable file logging |
LOG_DIR | ./logs | Log file directory |
CLI flags: --read-only (default), --read-write, --mode
File logging is disabled by default. Set ENABLE_LOGGING=true to enable. Two log files are created in LOG_DIR:
Connection strings are automatically redacted in all output.
Both formats accepted:
{ "_id": { "$oid": "507f1f77bcf86cd799439011" } }
{ "_id": "507f1f77bcf86cd799439011" }
git clone https://github.com/bluwork/mongo-scout-mcp.git
cd mongo-scout-mcp pnpm install pnpm build pnpm test
Apache-2.0