One SQL interface over APIs, files, and live sources — built for agents.
Coral is a local application that gives AI agents one SQL interface for querying connected APIs, files, and live data sources. It is for agents and developers who need to retrieve and correlate data across sources while reducing repeated tool calls, pagination, and source-specific integration code. Coral exposes its query interface to compatible agents through MCP, and the catalogue add-ons support using it in agent workflows.
Skill Claude CodeCodex
Create or update a Coral source spec YAML for a custom HTTP API or local dataset. Use when authoring a standalone source for coral source add --file, or when adapting that spec into a Coral repo source under sources/core or sources/community.
Skill Claude CodeCodex
Review new or updated Coral source manifests and source PRs for content, style, product fit, query ergonomics, documentation quality, and consistency with existing Coral sources. Use when Codex is asked to review a sources/core/name or sources/community/name source directory, a manifest.yaml, or a GitHub PR that adds…
Skill Claude CodeCodex
Query live sources through Coral MCP. Use when the task needs GitHub, Jira, Slack, Linear, Datadog, Sentry, files, or connected data.