io.github.bluwork/mongo-scout-mcp

Registre officiel Données et bases de données

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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package mongo-scout-mcp
Claude Code
claude mcp add mongo-scout-mcp -- npx -y mongo-scout-mcp@1.0.3 read-only mongodb://localhost:27017 test
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "mongo-scout-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "mongo-scout-mcp@1.0.3",
                "read-only",
                "mongodb://localhost:27017",
                "test"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Mongo Scout MCP
  2. What You Get
  3. Quick Start
  4. Tools
  5. Security
  6. Examples
  7. Configuration
  8. Logging
  9. ObjectId Format
  10. Development
  11. License

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 <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

Questions fréquentes

Qu'est-ce que io.github.bluwork/mongo-scout-mcp ?

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

Comment installer io.github.bluwork/mongo-scout-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add mongo-scout-mcp -- npx -y mongo-scout-mcp@1.0.3 read-only mongodb://localhost:27017 test. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.bluwork/mongo-scout-mcp ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.bluwork/mongo-scout-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence Apache-2.0.

Qui maintient io.github.bluwork/mongo-scout-mcp ?

Il est publié par bluwork. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.