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".
Best use case
mongodb_usage is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using mongodb_usage should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mongodb_usage/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mongodb_usage Compares
| Feature / Agent | mongodb_usage | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
1. List available databases with `mcp__mongodb__list_databases`
2. Explore collections with `mcp__mongodb__list_collections`
3. Get schema information with `mcp__mongodb__get_collection_schema`
4. Query data as needed for analysis
5. 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](https://www.mongodb.com/docs/manual/administration/analyzing-mongodb-performance/)
### 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? |Related Skills
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