Coral

What is Coral?

Coral is an open-source data layer that gives AI agents one SQL interface over APIs, databases, and files. Agents write a single query and Coral handles auth, pagination, rate limits, and joins across sources, returning one clean result set without custom integrations or glue code.

Top Features:

• Unified SQL access: query APIs, databases, and files through one consistent interface.
• Cross-source joins: combine data from GitHub, Slack, and local files in one statement.
• Built-in MCP server: present it to agents as a read-only SQL database.
• Smart optimization: query pushdown, caching, and pagination keep responses fast and efficient.

Use Cases:

• Agent data access: let agents pull live data without bespoke tool wiring.
• Internal tooling: build CLIs that query many systems through one language.
• Reporting: join metrics across SaaS sources for quick analysis and answers.

Who Can Use Coral?

• AI engineers: developers giving agents governed, reliable access to many data sources.
• Platform teams: groups centralizing auth and rate limits for all agents.
• Open-source fans: builders wanting a self-hosted, local-first data layer.

Pricing

• Open source (free): install, connect a source, and run queries at no cost.
• Self-hosted (free): runs on your machine or infrastructure under the Apache license.
• Community support (free): documentation and GitHub resources help you get started quickly.

Pros and Cons

Pros:

• Free and open: Apache-licensed and fully self-hostable on your own infrastructure.
• Less glue code: one SQL layer replaces many custom tool integrations.
• Agent friendly: benchmarks show better accuracy and lower cost than direct MCPs.

Cons:

• SQL required: users need comfort with writing SQL queries.
• Self-managed: you handle hosting and updates without a managed cloud.
• Read-only: it is a read layer and cannot write upstream changes.

FAQs:

1) Is Coral free?

Yes, it is open source under the Apache 2.0 license.

2) What can it query?

It queries APIs, databases, and files through one SQL interface.

3) Does it work with agents?

Yes, a built-in MCP server presents it as a read-only database.

4) Can it join across sources?

Yes, you can join data from different systems in one statement.

5) Does it change my data?

No, it is read-only and does not mutate upstream systems.