FastAPI DDD template, built for AI agent backends — zero-boilerplate CRUD, auto domain discovery, vector search infrastructure. 3 interface types + 14+ AI skills for Claude Code & Codex CLI. MCP + PydanticAI coming soon.

High-performance parallel database export to files and cloud storage with safety-first command preview.

Production-ready feedback collection system for FastMCP servers

FastMCP server for MySQL database operations

FastMCP SQL server with support for PostgreSQL, MySQL, and SQLite

SQL database access with support for PostgreSQL, MySQL, and SQLite

Database tools for fastmcp-server

High-performance parallel data transfer between heterogeneous database systems with safety-first command preview.

Connects AI assistants to a Supabase database for querying feature suggestions, enabling direct access to feature request data within conversations without manual database queries.

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

Python, LlamaIndex, LangChain, Docker Compose: 8 PG Graph, 3 RDF Graph, 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server🌟!

Florentine.ai MCP server – query MongoDB & MySQL databases in natural language

Natural language to MongoDB aggregations and aggregation results that actually work. Has a couple of extra features under the hood besides "only" providing natural language to aggregation conversion: - secure data separation for multi-tenant usage - semantic vector search/RAG support with automated embedding creation - advanced lookup support - exclusion of keys - and more...

Provides real-time access to Flutter, Dart, and pub.dev documentation through on-demand web scraping with SQLite caching, enabling current API reference retrieval and package information lookup for Flutter development workflows.

ForgeDB MCP Server — AI agents interact with ForgeDB backend

Code Mode inspired local sandboxed MCP Gateway - collapses N servers x M tools into 2 tools (~1,000 tokens)

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

Scoped MCP server for Gainable in-app copilot agents — wraps mongodb-mcp-server with per-app data isolation

It's YOUR data. Take it back. Get your Garmin Connect data into a local SQLite database and AI ready (MCP server)

Connect to your Supabase project to explore and query your database. List tables, inspect schemas, and execute queries to get answers fast. Check connection status and streamline everyday data tasks from one place.

Provides a robust expense-sharing solution for social gatherings, enabling creation of events, member management, expense tracking, and automated reimbursement calculations.

Learn GenAI and Agentic AI from Zero to Production

Integrates with Gene Ontology databases through QuickGO and official GO APIs to search terms, retrieve definitions and relationships, validate identifiers, and access ontology statistics across molecular function, biological process, and cellular component domains for bioinformatics research and functional analysis.

GENIE is a modern, full-stack template designed for building AI agents using LangGraph.js on the frontend and Model Context Protocol (MCP) on the backend. It combines a high-performance Next.js 15 client with a flexible Python server, offering a robust foundation for intelligent applications.