by DataZooDE · MCP Server · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
flAPI: Instant SQL based APIs flAPI is a powerful service that automatically generates read-only APIs for datasets by utilizing SQL templates. Built on top of DuckDB and leveraging its SQL engine and extension ecosystem, flAPI offers a seamless way to connect to various data sources and expose them as RESTful APIs. ⚡ Features Automatic API Generation: Create APIs for your datasets without coding MCP (Model Context Protocol) Support: Declarative creation of AI tools alongside REST endpoints — with per-tool RBAC (), shadow/dry-run (), response shaping ( / / ), per-tool rate limit, and a tool-description hygiene scanner for prompt-injection attempts Multiple Data Sources: Connect to BigQuery, SAP ERP & BW (via ERPL), Parquet, Iceberg, Postgres, MySQL, and more SQL Templates: Mustache-like syntax. Typed references on //////// fields are bound as DuckDB prepared statements — SQL injection is structurally impossible for those sites Caching: DuckLake-backed cache with full refresh and increme
| Stars | 72 |
| Forks | 4 |
| Language | C++ |
| Category | MCP Server |
| Quality Score | 62.0861794567242/100 |
| Last Updated | 2026-06-27 |
| Created | 2024-09-29 |
| Platforms | mcp, vscode |
| Est. Tokens | ~24k |
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flapi is API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps. It is categorized as a MCP Server with 72 GitHub stars.
flapi is primarily written in C++. It covers topics such as api, cpp, duckdb.
You can find installation instructions and usage details in the flapi GitHub repository at github.com/DataZooDE/flapi. The project has 72 stars and 4 forks, indicating an active community.
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