Agent 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".

View SKILL.md on GitHub Repository
Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/mongodb-usage-vuralserhat86-antigravity-agentic

Metadata

Additional technical details for this skill

skillport 
{
    "tags": [
        "aggregation",
        "big data",
        "cleaning",
        "csv",
        "data analysis",
        "data engineering",
        "data science",
        "database",
        "documents",
        "etl pipelines",
        "export",
        "import",
        "json",
        "machine learning basics",
        "migration",
        "mongodb usage",
        "mongoose",
        "nosql",
        "numpy",
        "pandas",
        "python data stack",
        "query optimization",
        "reporting",
        "schema design",
        "sharding",
        "sql",
        "statistics",
        "transformation",
        "visualization"
    ],
    "category": "auto-healed"
}

SKILL.md

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

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?

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