withcoral/coral

Health v2 · maintenance only

Flags: young

Adoption not part of the score

4975 stars · 215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Coral is a local SQL query engine that exposes APIs, files, and live data sources as read-only tables you can query and join with standard SQL. It ships as a desktop app and CLI, and exposes an MCP server so AI agents can retrieve data from multiple sources in fewer, more precise tool calls.

Use cases

• query github slack and pagerduty data with sql joins from one interface
• give my ai agent a single sql tool instead of many mcp servers
• join api data across sources without writing pagination glue code
• reduce llm token costs when agents fetch company data
• run sql against live saas apis locally without sending data to the cloud
• connect claude code or cursor to my internal data sources over mcp

When to choose

• you want agents to query multiple APIs or data sources with SQL instead of per-source MCP servers or API wrappers
• you need cross-source correlation (joins) in a single statement with tabular results
• you want a local-first tool where credentials and data never leave your machine
• you want to reduce agent tool-call count and token usage for read tasks

When to avoid

• you need write access or mutations against your data sources, since Coral is read-only
• you need a fully managed hosted service on the free tier, since the open-source edition is self-hosted
• your queries are simple single-API fetches where a direct API call or existing MCP server suffices
• you need a source connector that has no bundled or community spec and you cannot write one

Facets

application · maturity active

database mcp agent-framework api-framework http-client developer-tools cli artificial-intelligence large-language-models databases developer-tools apis windows cli rust cross-platform sql-interface federated-query mcp-server data-federation agent-tools local-first source-connectors ai-agents data-engineering automation macos linux desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="withcoral/coral")