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MongoDB is the world’s leading modern, general-purpose document database used by over 67k customers worldwide. Founded in 2007, MongoDB, Inc. is headquartered in New York and trades on NASDAQ as MDB. Built for AI-ready applications, MongoDB Atlas database platform ensures unmatched resilience, scalability, and enterprise-grade security. It stores data as flexible BSON documents (binary JSON), supp
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# MongoDB
> MongoDB is the world’s leading modern, general-purpose document database used by over 67k customers worldwide. Founded in 2007, MongoDB, Inc. is headquartered in New York and trades on NASDAQ as MDB. Built for AI-ready applications, MongoDB Atlas database platform ensures unmatched resilience, scalability, and enterprise-grade security. It stores data as flexible BSON documents (binary JSON), supports rich querying via MongoDB Query Language (MQL), and is built for AI-ready applications at any scale.
## About this site
> **mongodb.com** is the primary web presence for MongoDB, Inc.
- Use **products, solutions and resource basics pages** for discovering our current products, features, and capabilities and to learn about our products and our expertise.
- Use **[technical documentation index](https://www.mongodb.com/docs/llms.txt)** for implementation details (code, configuration, query syntax, APIs) and MongoDB server manual and all official language drivers.
## Key Facts
- **Atlas Core vs Atlas Infinite**: MongoDB Atlas offers a single fully managed database platform with two deployment options. Choose Atlas Infinite for AI-scale workloads that need elastic compute and storage, and choose Atlas Core when workloads are steady.
- **ACID compliant**: Strong consistency with ACID transactions.
- **Serverless**: The Flex Tier combines the flexibility of serverless scalability with predictable, capped costs, avoiding complex and unpredictable billing.
- **Multi-cloud**: Run a fully managed, multi-cloud Atlas database on AWS, Azure, and Google Cloud.
- **MongoDB 9.0**: Upgrade to our latest faster, more resilient, more observable foundation that has been built to scale mission-critical workloads and AI-powered applications, without a rip-and-replace.
## Key Links
- [Company Information](https://www.mongodb.com/company): Learn about the history of MongoDB, the leadership principles that guide us, and our core values.
- [Products](https://www.mongodb.com/products): Learn about MongoDB products you can use to build the next generation of applications.
- [Pricing](https://www.mongodb.com/pricing.md): Compare plans and add-on features for Atlas Core and Atlas Infinite clusters. Contact Sales for Enterprise Advanced pricing.
- [Register](https://www.mongodb.com/cloud/atlas/register): Register for Atlas for free, no credit card required.
- [Try Download](https://www.mongodb.com/try): Download Enterprise Advanced or other MongoDB tools and utilities and get started for free.
- [Version History](https://www.mongodb.com/resources/products/mongodb-version-history): Learn about the latest Atlas 9.0 and understand the timeline and highlights of major MongoDB Server releases.
- [Documentation](https://www.mongodb.com/docs/): Official MongoDB documentation and full technical reference.
- [Solutions Library](https://www.mongodb.com/docs/atlas/architecture/current/solutions-library/): Explore use cases and reference architectures to help kick-start your project.
## Product
- [Fully Managed Cloud Atlas Platform](https://www.mongodb.com/products/platform): Build and scale with an AI-ready, modern intelligent data platform.
- [Fully Managed: Atlas Database](https://www.mongodb.com/products/platform/atlas-database): Focus on innovation instead of infrastructure with Atlas database that supports multi-cloud deployments on AWS, Azure, and Google Cloud.
- [Deployment Options](https://www.mongodb.com/products/platform/atlas-database/deployment-options): Pick the Atlas deployment option based on whether you’re scaling unpredictable AI agents or running steady and predictable services.
- [Self-Managed: Enterprise Advanced](https://www.mongodb.com/products/self-managed/enterprise-advanced): Our most flexible option where you can run and manage the modern database for production applications by yourself on your infrastructure.
- [Self-Managed: Community Edition](https://www.mongodb.com/products/self-managed/community-edition): Develop locally with MongoDB for learning, prototyping, and local development, at no cost.
### Start here
- [Get Started](https://www.mongodb.com/docs/get-started.md): The canonical entry point. Covers Atlas account creation, free cluster setup, connection string retrieval, and first query in your language of choice.
- [Connect to a Cluster](https://www.mongodb.com/docs/manual/connect-to-cluster.md)
- [Deploy a Free Atlas Cluster](https://www.mongodb.com/docs/atlas/tutorial/deploy-free-tier-cluster/): Free forever, no credit card required. Takes under 15 seconds to provision.
- [Atlas Documentation Home](https://www.mongodb.com/docs/atlas/): Full Atlas reference.
- [Server Manual](https://www.mongodb.com/docs/manual/): Core MongoDB reference for query language, data modeling, indexing, replication, and sharding.
- [Ephemeral Clusters](https://www.mongodb.com/products/tools/atlas-ephemeral-clusters): Instantly create a live Atlas Ephemeral Cluster with no Atlas account required.
- [Get Started with MCP Server](https://www.mongodb.com/docs/mcp-server/get-started/): Installation via `npx`, JSON configuration, connecting to Atlas or self-managed.
## AI and Vector Search Capabilities
- [Atlas Agent Engine](https://www.mongodb.com/products/platform/atlas-agent-engine): Build, deploy, scale, and govern AI agents on the same platform so your agents work on the data you already have, right where it lives.
- [Embedding and Reranking Models](https://www.mongodb.com/products/platform/ai-search-and-retrieval): Build AI applications and agents with Voyage AI by MongoDB, state-of-the-art embedding and reranking models accessible via standalone API or natively in Atlas.
- [Voyage AI Documentation](https://www.mongodb.com/docs/voyageai/)
- [Vector Search](https://www.mongodb.com/products/platform/atlas-vector-search): Store embeddings alongside application data and run your queries all within the same database.
- [Build with AI](https://www.mongodb.com/docs/build-with-ai.md)
- [MCP Server Overview](https://www.mongodb.com/docs/mcp-server/overview.md)
- [Get Started with MCP Server](https://www.mongodb.com/docs/mcp-server/get-started.md): Install and configure the MongoDB MCP Server.
## Other Platform Services and Capabilities
- [Atlas Search](https://www.mongodb.com/products/platform/atlas-search): Add full-text search directly on your operational data without a separate search engine.
- [Atlas Search Documentation](https://www.mongodb.com/docs/search/)
- [MQL Reference](https://www.mongodb.com/docs/manual/reference/mql.md): Top-level reference for query predicates, aggregation pipeline stages, and CRUD commands.
- [Run Anywhere](https://www.mongodb.com/products/capabilities/run-anywhere): Run MongoDB across any environment as it is designed for resilience across cloud providers from one managed cluster.
- [Atlas Stream Processing](https://www.mongodb.com/products/platform/atlas-stream-processing): Continuously read, transform, and route streaming data using the MongoDB aggregation pipeline.
- [Auto Scaling](https://www.mongodb.com/products/capabilities/auto-scaling): Scale your MongoDB Atlas clusters with zero downtime.
- [Observability](https://www.mongodb.com/products/capabilities/observability): MongoDB observability tools provide visibility and native insights into cluster health.
- [Security](https://www.mongodb.com/products/capabilities/security): Our built-in security controls and customizable guardrails reduce risk.
## Developer Tools
- [Compass](https://www.mongodb.com/products/tools/compass): Free GUI tool for data exploration.
- [Atlas CLI](https://www.mongodb.com/products/tools/atlas-cli): Command-line tool for managing Atlas.
- [MongoDB Shell](https://www.mongodb.com/products/tools/shell): Programmatic solution to interact with your database.
- [Relational Migrator](https://www.mongodb.com/products/tools/relational-migrator): Simplify your move to MongoDB.
- [Mongosync](https://www.mongodb.com/products/tools/mongosync): Migrate data between separate MongoDB clusters.
## Use Cases
> Description: All the use cases where MongoDB can improve and scale strategic and mission-critical initiatives.
- [Artificial Intelligence](https://www.mongodb.com/solutions/use-cases/artificial-intelligence)
- [Legacy Modernization](https://www.mongodb.com/solutions/use-cases/modernize)
- [Intelligent Search](https://www.mongodb.com/solutions/use-cases/intelligent-search)
- [Payments Experience](https://www.mongodb.com/solutions/use-cases/payments)
- [Serverless Development](https://www.mongodb.com/solutions/use-cases/serverless)
- [Gaming](https://www.mongodb.com/solutions/use-cases/gaming)
- [Edge and Mobile](https://www.mongodb.com/solutions/use-cases/edge-and-mobile)
## Data Basics
> Description: Educational reference pages defining core database and AI concepts.
- [NoSQL Database](https://www.mongodb.com/resources/basics/databases/nosql-explained)
- [Document Database](https://www.mongodb.com/resources/basics/databases/document-databases)
- [AI Database](https://www.mongodb.com/resources/basics/ai-databases)
- [Acid Transactions](https://www.mongodb.com/resources/basics/databases/acid-transactions)
- [Agent Memory](https://www.mongodb.com/resources/basics/artificial-intelligence/agent-memory)
## Additional Resources
- [Blog](https://www.mongodb.com/company/blog): Technical tutorials, MongoDB best practices, and industry news.
- [Customer Case Studies](https://www.mongodb.com/solutions/customer-case-studies): Customer success stories.
- [Contact Us](https://www.mongodb.com/company/contact): Get in touch with our team for sales and technical inquiries.
- [Login](https://account.mongodb.com/account/login): Log into your MongoDB account.
- [Support](https://www.mongodb.com/services/support): For Atlas and Enterprise customers.
- [Events](https://www.mongodb.com/events/mongodb-local): Learn from experts at MongoDB.local events.
- [MongoDB Trust Center](https://www.mongodb.com/products/platform/trust): We are dedicated to securing and protecting your data.
- [Community](https://www.mongodb.com/community): Hub for user groups, programs, and discussions.
- [MongoDB University](https://learn.mongodb.com): Free self-paced courses and certifications.
- [GitHub](https://github.com/mongodb/mongo)
- [Developer YouTube](https://www.youtube.com/@MongoDBDevelopers)
Last-Modified: 2026-09-29
Measured from the saved file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
MongoDB is the world’s leading modern, general-purpose document database used by over 67k customers worldwide. Founded in 2007, MongoDB, Inc. is headquartered in New York and trades on NASDAQ as MDB. Built for AI-ready applications, MongoDB Atlas database platform ensures unmatched resilience, scalability, and enterprise-grade security. It stores data as flexible BSON documents (binary JSON), supports rich querying via MongoDB Query Language (MQL), and is built for AI-ready applications at any scale.
Context architecture
10 H2 sections organize 64 parsed Markdown links. 7 links point to .md or .markdown paths; 4 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| About this siteLine 5 | 1 | 450 | 91 |
| Key FactsLine 12 | 0 | 792 | 159 |
| Key LinksLine 20 | 8 | 1209 | 243 |
| ProductLine 31 | 12 | 2128 | 434 |
| AI and Vector Search CapabilitiesLine 49 | 7 | 1009 | 222 |
| Other Platform Services and CapabilitiesLine 59 | 8 | 1225 | 240 |
| Developer ToolsLine 70 | 5 | 550 | 128 |
| Use CasesLine 78 | 7 | 686 | 156 |
| Data BasicsLine 90 | 5 | 525 | 122 |
| Additional ResourcesLine 100 | 11 | 1081 | 242 |
1 distinct links point to other llms.txt paths. These are routes to more indexes, not proof their contents were included in this file.
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
No H2 section named “Optional” was detected in this file.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
MCP-related text was detected in the captured file. 3 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
Not found at checked URLs
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
This capture establishes a baseline. Update frequency cannot be determined from one observation.
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
673298d5ce2c1bd2f33c70b4ef4655bb9018de3a9c300336d23e69a281823369Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.