Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
Scout your MongoDB databases with AI - safety features, live monitoring, and data quality
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"mongo-scout": {
"command": "npx",
"args": [
"-y",
"mongo-scout-mcp",
"read-only",
"mongodb://localhost:27017",
"test"
]
}
}
}在终端中运行这条命令
claude mcp add mongo-scout -- npx -y mongo-scout-mcp read-only mongodb://localhost:27017 test粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"mongo-scout": {
"command": "npx",
"args": [
"-y",
"mongo-scout-mcp",
"read-only",
"mongodb://localhost:27017",
"test"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"mongo-scout": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mongo-scout-mcp",
"read-only",
"mongodb://localhost:27017",
"test"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 bluwork 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.3)于8个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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