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Mongodb

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BagelHole
mongodb

Administer MongoDB databases. Configure replica sets, sharding, and backups. Use when managing MongoDB deployments.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namemongodb
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Mongodb AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/mongodb
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/databases/mongodb .claude/skills/mongodb
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mongodb in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mongodb on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mongodb is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MongoDB

Administer, optimize, and secure MongoDB NoSQL databases in development and production environments.

When to Use

  • You need a document-oriented database with flexible schemas.
  • Your data is semi-structured or heavily nested (JSON-like documents).
  • You need horizontal scaling through sharding.
  • Your application benefits from rich querying and aggregation pipelines.

Prerequisites

  • Linux server (Debian/Ubuntu or RHEL-based) or Docker.
  • Root or sudo access for package installation.
  • MongoDB 7.x recommended for production (6.x still supported).

Installation and Setup

bash
# Debian / Ubuntu — MongoDB 7
curl -fsSL https://www.mongodb.org/static/pgp/server-7.0.asc | \
  sudo gpg -o /usr/share/keyrings/mongodb-server-7.0.gpg --dearmor
echo "deb [ signed-by=/usr/share/keyrings/mongodb-server-7.0.gpg ] \
  https://repo.mongodb.org/apt/ubuntu jammy/mongodb-org/7.0 multiverse" | \
  sudo tee /etc/apt/sources.list.d/mongodb-org-7.0.list
sudo apt update
sudo apt install -y mongodb-org

# Start and enable
sudo systemctl enable --now mongod

# Verify
mongosh --eval "db.version()"

Initial User Setup

javascript
// Connect without auth first
// mongosh

use admin

// Create admin user
db.createUser({
  user: "admin",
  pwd: "strong_admin_password",
  roles: [
    { role: "userAdminAnyDatabase", db: "admin" },
    { role: "readWriteAnyDatabase", db: "admin" },
    { role: "clusterAdmin", db: "admin" }
  ]
})

// Create an application-scoped user
use mydb
db.createUser({
  user: "myapp",
  pwd: "strong_app_password",
  roles: [{ role: "readWrite", db: "mydb" }]
})

Enable authentication in /etc/mongod.conf:

yaml
security:
  authorization: enabled
bash
sudo systemctl restart mongod
# Now connect with credentials
mongosh -u myapp -p strong_app_password --authenticationDatabase mydb

mongosh Commands Reference

javascript
// Show databases and collections
show dbs
use mydb
show collections

// Insert documents
db.users.insertOne({ name: "Alice", email: "alice@example.com", age: 30 })
db.users.insertMany([
  { name: "Bob", email: "bob@example.com", age: 25 },
  { name: "Carol", email: "carol@example.com", age: 35 }
])

// Query documents
db.users.find({ age: { $gte: 25 } }).sort({ name: 1 }).limit(10)
db.users.findOne({ email: "alice@example.com" })
db.users.countDocuments({ age: { $gte: 30 } })

// Update
db.users.updateOne(
  { email: "alice@example.com" },
  { $set: { age: 31 }, $currentDate: { updatedAt: true } }
)
db.users.updateMany(
  { age: { $lt: 30 } },
  { $set: { tier: "junior" } }
)

// Delete
db.users.deleteOne({ email: "bob@example.com" })
db.users.deleteMany({ tier: "junior" })

Indexing

javascript
// Single-field index
db.users.createIndex({ email: 1 }, { unique: true })

// Compound index
db.orders.createIndex({ userId: 1, createdAt: -1 })

// Text index for search
db.articles.createIndex({ title: "text", body: "text" })
db.articles.find({ $text: { $search: "mongodb scaling" } })

// TTL index — auto-delete documents after 30 days
db.sessions.createIndex({ createdAt: 1 }, { expireAfterSeconds: 2592000 })

// List indexes
db.users.getIndexes()

// Drop an index
db.users.dropIndex("email_1")

// Explain a query to verify index usage
db.orders.find({ userId: 42 }).explain("executionStats")

Aggregation Pipeline Examples

javascript
// Revenue per status
db.orders.aggregate([
  { $group: {
      _id: "$status",
      totalRevenue: { $sum: "$total" },
      count: { $sum: 1 }
  }},
  { $sort: { totalRevenue: -1 } }
])

// Top 5 customers by order value (with a join)
db.orders.aggregate([
  { $group: {
      _id: "$userId",
      spent: { $sum: "$total" },
      orderCount: { $sum: 1 }
  }},
  { $sort: { spent: -1 } },
  { $limit: 5 },
  { $lookup: {
      from: "users",
      localField: "_id",
      foreignField: "_id",
      as: "user"
  }},
  { $unwind: "$user" },
  { $project: {
      _id: 0,
      name: "$user.name",
      email: "$user.email",
      spent: 1,
      orderCount: 1
  }}
])

// Daily signup trend
db.users.aggregate([
  { $group: {
      _id: { $dateToString: { format: "%Y-%m-%d", date: "$createdAt" } },
      signups: { $sum: 1 }
  }},
  { $sort: { _id: 1 } },
  { $limit: 30 }
])

Replica Set Setup

A replica set requires a minimum of three members (or two data-bearing nodes plus an arbiter).

Configuration File for Each Member

yaml
# /etc/mongod.conf (adjust port and dbPath per member)
storage:
  dbPath: /var/lib/mongodb
net:
  port: 27017
  bindIp: 0.0.0.0
replication:
  replSetName: rs0
security:
  authorization: enabled
  keyFile: /etc/mongodb-keyfile
bash
# Generate a shared keyfile for internal auth
openssl rand -base64 756 > /etc/mongodb-keyfile
chmod 400 /etc/mongodb-keyfile
chown mongodb:mongodb /etc/mongodb-keyfile
# Copy this file to all replica set members

Initialize the Replica Set

javascript
// Connect to the first member
// mongosh --port 27017

rs.initiate({
  _id: "rs0",
  members: [
    { _id: 0, host: "mongo1:27017", priority: 2 },
    { _id: 1, host: "mongo2:27017", priority: 1 },
    { _id: 2, host: "mongo3:27017", priority: 1 }
  ]
})

// Check status
rs.status()

// View replication lag per member
rs.printReplicationInfo()
rs.printSecondaryReplicationInfo()

Backup and Restore

bash
# Full dump of all databases
mongodump --uri="mongodb://admin:secret@localhost:27017" --out=/backups/full_$(date +%F)

# Single database
mongodump --uri="mongodb://myapp:secret@localhost:27017/mydb" --out=/backups/mydb_$(date +%F)

# Compressed dump
mongodump --uri="mongodb://admin:secret@localhost:27017" --gzip --out=/backups/gz_$(date +%F)

# Restore all databases
mongorestore --uri="mongodb://admin:secret@localhost:27017" /backups/full_2025-01-15/

# Restore a single database, dropping existing data first
mongorestore --uri="mongodb://admin:secret@localhost:27017" \
  --drop --db mydb /backups/mydb_2025-01-15/mydb/

# Restore compressed dump
mongorestore --uri="mongodb://admin:secret@localhost:27017" --gzip /backups/gz_2025-01-15/

Docker Compose Setup

yaml
# docker-compose.yml
version: "3.9"

services:
  mongo1:
    image: mongo:7
    restart: unless-stopped
    ports:
      - "27017:27017"
    environment:
      MONGO_INITDB_ROOT_USERNAME: admin
      MONGO_INITDB_ROOT_PASSWORD: secret
    volumes:
      - mongo1_data:/data/db
      - ./mongo-keyfile:/etc/mongodb-keyfile:ro
    command: >
      mongod
        --replSet rs0
        --keyFile /etc/mongodb-keyfile
        --bind_ip_all
    healthcheck:
      test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"]
      interval: 10s
      timeout: 5s
      retries: 5

  mongo2:
    image: mongo:7
    restart: unless-stopped
    volumes:
      - mongo2_data:/data/db
      - ./mongo-keyfile:/etc/mongodb-keyfile:ro
    command: >
      mongod
        --replSet rs0
        --keyFile /etc/mongodb-keyfile
        --bind_ip_all

  mongo3:
    image: mongo:7
    restart: unless-stopped
    volumes:
      - mongo3_data:/data/db
      - ./mongo-keyfile:/etc/mongodb-keyfile:ro
    command: >
      mongod
        --replSet rs0
        --keyFile /etc/mongodb-keyfile
        --bind_ip_all

  mongo-init:
    image: mongo:7
    restart: "no"
    depends_on:
      mongo1:
        condition: service_healthy
    entrypoint: >
      mongosh --host mongo1 -u admin -p secret --authenticationDatabase admin --eval '
        rs.initiate({
          _id: "rs0",
          members: [
            { _id: 0, host: "mongo1:27017", priority: 2 },
            { _id: 1, host: "mongo2:27017", priority: 1 },
            { _id: 2, host: "mongo3:27017", priority: 1 }
          ]
        })
      '

volumes:
  mongo1_data:
  mongo2_data:
  mongo3_data:
bash
# Generate keyfile before starting
openssl rand -base64 756 > mongo-keyfile
chmod 400 mongo-keyfile

docker compose up -d

# Connect
mongosh "mongodb://admin:secret@127.0.0.1:27017/?replicaSet=rs0&authSource=admin"

Monitoring Queries

javascript
// Server status summary
db.serverStatus().connections
db.serverStatus().opcounters

// Current operations (look for long-running queries)
db.currentOp({ secs_running: { $gte: 5 } })

// Collection stats
db.orders.stats()

// Index sizes
db.orders.stats().indexSizes

// Profiler — log slow queries (> 100ms)
db.setProfilingLevel(1, { slowms: 100 })
db.system.profile.find().sort({ ts: -1 }).limit(5)

// Replica set lag
rs.printSecondaryReplicationInfo()

Configuration Tuning

yaml
# /etc/mongod.conf — production recommendations
storage:
  dbPath: /var/lib/mongodb
  journal:
    enabled: true
  wiredTiger:
    engineConfig:
      cacheSizeGB: 4          # ~50% of RAM, leave rest for OS cache
    collectionConfig:
      blockCompressor: snappy
net:
  port: 27017
  bindIp: 0.0.0.0
  maxIncomingConnections: 500
operationProfiling:
  mode: slowOp
  slowOpThresholdMs: 100

Troubleshooting

SymptomLikely CauseFix
COLLSCAN in explain outputMissing index on queried fieldCreate an appropriate index
Replica member stuck in RECOVERINGOplog window exceededResync by removing data and restarting the member
too many open filesOS file descriptor limit too lowSet ulimit -n 65535 in service file
High memory usageWiredTiger cache too largeReduce cacheSizeGB in config
Slow aggregation pipelinesNo index on $match stage fieldsAdd index; place $match as early as possible in pipeline
Authentication failureWrong authenticationDatabaseSpecify --authenticationDatabase admin for admin users

Related Skills

Frequently asked questions

What does the Mongodb AI skill do?

Administer MongoDB databases. Configure replica sets, sharding, and backups. Use when managing MongoDB deployments.

Why use Mongodb on TypingMind?

Because you install it once and use it with any model. Mongodb is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mongodb in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/databases/mongodb. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mongodb?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mongodb?

As many as you like. As long as a model supports skills, you can use Mongodb with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mongodb AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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