io.github.bluwork/mongo-scout-mcp

编码与调试

by bluwork

用 AI 巡检 MongoDB 数据库,提供安全防护、实时监控与数据质量保障能力。

什么是 io.github.bluwork/mongo-scout-mcp

用 AI 巡检 MongoDB 数据库,提供安全防护、实时监控与数据质量保障能力。

README

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.

npm License

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

bash
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?"

<details> <summary>Claude Desktop</summary>

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

json
{
  "mcpServers": {
    "mongo-scout": {
      "command": "npx",
      "args": ["-y", "mongo-scout-mcp", "mongodb://localhost:27017", "mydb"],
      "type": "stdio"
    }
  }
}
</details> <details> <summary>Cursor / VS Code</summary>

Add to your MCP settings:

json
{
  "mongo-scout": {
    "command": "npx",
    "args": ["-y", "mongo-scout-mcp", "mongodb://localhost:27017", "mydb"]
  }
}
</details> <details> <summary>Read-Only vs Read-Write</summary>

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

json
{
  "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
</details>

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?"

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

"Find duplicate emails in the users collection."

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

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

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

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

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

"Find orders that reference deleted users."

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

"Export the products collection as CSV."

code
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:

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

Development

bash
git clone https://github.com/bluwork/mongo-scout-mcp.git
cd mongo-scout-mcp
pnpm install
pnpm build
pnpm test

License

Apache-2.0

常见问题

io.github.bluwork/mongo-scout-mcp 是什么?

用 AI 巡检 MongoDB 数据库,提供安全防护、实时监控与数据质量保障能力。

相关 Skills

网页构建器

by anthropics

Universal
热门

面向复杂 claude.ai HTML artifact 开发,快速初始化 React + Tailwind CSS + shadcn/ui 项目并打包为单文件 HTML,适合需要状态管理、路由或多组件交互的页面。

在 claude.ai 里做复杂网页 Artifact 很省心,多组件、状态和路由都能顺手搭起来,React、Tailwind 与 shadcn/ui 组合效率高、成品也更精致。

编码与调试
未扫描172.7k

网页应用测试

by anthropics

Universal
热门

用 Playwright 为本地 Web 应用编写自动化测试,支持启动开发服务器、校验前端交互、排查 UI 异常、抓取截图与浏览器日志,适合调试动态页面和回归验证。

借助 Playwright 一站式验证本地 Web 应用前端功能,调 UI 时还能同步查看日志和截图,定位问题更快。

编码与调试
未扫描172.7k

前端设计

by anthropics

Universal
热门

面向组件、页面、海报和 Web 应用开发,按鲜明视觉方向生成可直接落地的前端代码与高质感 UI,适合做 landing page、Dashboard 或美化现有界面,避开千篇一律的 AI 审美。

想把页面做得既能上线又有设计感,就用前端设计:组件到整站都能产出,难得的是能避开千篇一律的 AI 味。

编码与调试
未扫描172.7k

相关 MCP Server

GitHub

编辑精选

by GitHub

热门

GitHub 是 MCP 官方参考服务器,让 Claude 直接读写你的代码仓库和 Issues。

这个参考服务器解决了开发者想让 AI 安全访问 GitHub 数据的问题,适合需要自动化代码审查或 Issue 管理的团队。但注意它只是参考实现,生产环境得自己加固安全。

编码与调试
89.7k

by Context7

热门

Context7 是实时拉取最新文档和代码示例的智能助手,让你告别过时资料。

它能解决开发者查找文档时信息滞后的问题,特别适合快速上手新库或跟进更新。不过,依赖外部源可能导致偶尔的数据延迟,建议结合官方文档使用。

编码与调试
60.2k

by tldraw

热门

tldraw 是让 AI 助手直接在无限画布上绘图和协作的 MCP 服务器。

这解决了 AI 只能输出文本、无法视觉化协作的痛点——想象让 Claude 帮你画流程图或白板讨论。最适合需要快速原型设计或头脑风暴的开发者。不过,目前它只是个基础连接器,你得自己搭建画布应用才能发挥全部潜力。

编码与调试
49.9k

评论