Coral

What does Coral do?

Coral is a SQL query layer for agents. It turns any API, database, or file system into a read-only schema, so agents can join across sources in a single query — no custom integrations, no ETL, no glue code.

Coral handles authentication, pagination, rate limits, and schema mapping, and exposes column-level access controls so you choose what an agent can see. Everything runs locally on your infrastructure; Coral doesn't ingest your data, store results, or train models on anything it sees.

Query performance is enhanced through pushdown, caching, and efficient pagination, minimizing API calls and token usage. In benchmarks, agents using Coral are 31% more accurate and 70% cheaper to run than agents using source-level MCPs.

Coral adapts to query patterns, improving discovery and execution efficiency over time. It integrates with your existing tools as a standalone data layer. It is open source under Apache 2.0, available via CLI or MCP.

What are some unique features of withcoral.com?

Most agent workflows access company data one tool at a time. That works, but it tends to create:

• too many tool calls
• repeated auth, pagination, and retry logic
• poor cross-source reasoning
• high token traffic
• brittle glue code and prompts

Coral gives agents one query interface instead:

• query multiple live sources through SQL
• keep workflows inspectable and scriptable
• expose the same runtime over MCP
• answer cross-source questions without stitching tools together by hand

Can a user use Coral for free?

Coral is open source under Apache 2.0, available via CLI or MCP.