“MongoDB”

Covers everything about search in MongoDB: Atlas Search (full-text), Vector Search (semantic), and Hybrid Search.

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language.

Guide users through configuring key MongoDB MCP server options.

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents.

Help with MongoDB query optimization and indexing.

MongoDB schema design patterns and anti-patterns.

Manages MongoDB Atlas Stream Processing (ASP) workflows.

Estimates the storage and memory impact of encrypting fields in collections with Queryable Encryption (QE) enabled.

Review a proposed Agent Skill for structural validity and content quality before publishing.

Decision and migration guide for Prisma ORM MongoDB projects on v6, which have no upgrade path to v7.

MongoDB Model Context Protocol Server

使用火山引擎 MongoDB Skill，帮助用户完成 MongoDB 相关的实例管理、备份恢复、参数等运维任务，可直接调用 uv run ./scripts/call_mongodb.py 脚本获取实时结果。当需要访问管理在火山引擎 MongoDB 实例详细信息时，此 Skill 可以提供方便的接口。

Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB…

Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK.

MongoDB driver and SDK best practices for Azure DocumentDB — singleton `MongoClient`, connection reuse, connection-pool fundamentals.

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for Azure DocumentDB.

用于火山引擎（Volcengine）数据库（MySQL、veDB-MySQL、PostgreSQL、SQL Server、MongoDB、Redis）和公网自建数据库（MySQL和PostgreSQL系列）的元数据管理、数据分析、开发变更、运维诊断、巡检。覆盖实例列表查询、实例下数据库列表查询、表列表查询、表结构查询…

Multi-tenant database orchestration: isolated Postgres, MySQL, MongoDB, Redis tenants on demand.

Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL…

Set up Prisma ORM in an application, connect its database, or troubleshoot the connection of an existing Prisma 6, 7, or 8 app.

Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.

Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery.

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift…

Generate read-only DocumentDB/MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents.