Awesome-omni-skill mongodb_usage

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/backend/mongodb_usage-majiayu000" ~/.claude/skills/diegosouzapw-awesome-omni-skill-mongodb-usage && rm -rf "$T"

manifest: skills/backend/mongodb_usage-majiayu000/SKILL.md

source content

MongoDB MCP Usage

Use the MongoDB MCP server to integrate database queries into workflows.

Read-Only Access

MongoDB MCP is configured in read-only mode. Only queries and data retrieval are supported. No write, update, or delete operations.

Database Queries

Use

mcp__mongodb__*

tools for:

Listing databases
Viewing collection schemas
Querying collection data
Analyzing indexes

Integration Pattern

List available databases with
```
mcp__mongodb__list_databases
```
Explore collections with
```
mcp__mongodb__list_collections
```
Get schema information with
```
mcp__mongodb__get_collection_schema
```
Query data as needed for analysis
Format results for user consumption

Environment Variables

MongoDB MCP requires:

```
MONGODB_URI
```
- Connection string (mongodb://...)

Configure in shell before using the plugin.

Cost Considerations

Minimize database calls when possible
Use schema queries before running analysis queries
Cache results locally if multiple calls needed MongoDB Usage v1.1 - Enhanced

🔄 Workflow

Kaynak: MongoDB Performance Best Practices

Aşama 1: Discovery & Inspection

Connection:
```
mcp__mongodb__list_databases
```
ile erişimi doğrula.
Schema Analysis:
```
mcp__mongodb__get_collection_schema
```
ile veri tiplerini ve yapıyı anla.
Index Check: Mevcut indeksleri listele (
```
list_indexes
```
veya benzeri sorgu ile).

Aşama 2: Query Construction

Filter: Sorguları indeksli alanlar (Prefix) üzerinden filtrele.
Projection: Sadece gerekli alanları (
```
{ field: 1 }
```
) seç (Network ve RAM tasarrufu).
Aggregation: Karmaşık analizler için
```
$match
```
,
```
$group
```
,
```
$project
```
pipeline'ını kur.

Aşama 3: Performance Check (Explain Plan)

Explain: Sorgunun
```
COLLSCAN
```
(Tam tarama) mı
```
IXSCAN
```
(Index tarama) mı yaptığını kontrol et.
Optimization: Yavaş sorgular için bileşik indeks (Compound Index) öner.

Kontrol Noktaları

Aşama	Doğrulama
1	Sorgu 100ms'in altında cevap veriyor mu?
2	"In-memory sort" limiti aşılıyor mu (disk kullanımı var mı)?
3	Regex sorguları indeksin başlangıcını (anchor `^...` ) kullanıyor mu?