# Neon AI & Agents

Agent Skills, MCP integrations, vector search, and tools for building AI-powered applications with Neon.

[Parent index](https://neon.com/docs/llms.txt)

- [Agent Skills](https://neon.com/docs/ai/agent-skills.md): Teach your AI coding assistant how to work with Neon
- [AI Concepts](https://neon.com/docs/ai/ai-concepts.md): Learn how embeddings are used to build AI applications
- [AI Starter Kit](https://neon.com/docs/ai/ai-intro.md): Resources for building AI applications with Lakebase Postgres on Neon
- [AI tools for Agents](https://neon.com/docs/ai/ai-agents-tools.md): AI-powered tools for development and database management
- [Azure Data Studio Notebooks](https://neon.com/docs/ai/ai-azure-notebooks.md): Use Azure Data Studio Notebooks with Neon for vector similarity search
- [Claude Code plugin for Neon](https://neon.com/docs/ai/ai-claude-code-plugin.md)
- [Codex plugin for Neon](https://neon.com/docs/ai/ai-codex-plugin.md)
- [Connect MCP clients to Neon](https://neon.com/docs/ai/connect-mcp-clients-to-neon.md): Connect MCP clients like Cursor, Claude Code, VS Code, and ChatGPT to your Lakebase Postgres database on Neon.
- [Cursor plugin for Neon](https://neon.com/docs/ai/ai-cursor-plugin.md)
- [Database versioning with snapshots](https://neon.com/docs/ai/ai-database-versioning.md): How AI agents and codegen platforms implement database version control using snapshots and preview branches
- [Get started with Lakebase Search](https://neon.com/docs/ai/lakebase-search-get-started.md): Set up vector and full-text search on Neon in minutes
- [Google Colab](https://neon.com/docs/ai/ai-google-colab.md): Use Google Colab with Neon for vector similarity search
- [Grok Bot plugin for Neon](https://neon.com/docs/ai/ai-grok-bot-plugin.md)
- [Inngest](https://neon.com/docs/ai/inngest.md): Quickly build AI RAG and Agentic workflows that scale with Inngest and Neon
- [Lakebase Search](https://neon.com/docs/ai/lakebase-search.md): Scalable vector and full-text search for Postgres
- [LangChain](https://neon.com/docs/ai/langchain.md): Build AI applications faster with LangChain and Postgres
- [LlamaIndex](https://neon.com/docs/ai/llamaindex.md): Build AI applications faster with LlamaIndex and Postgres
- [Neon agents for GitHub Copilot](https://neon.com/docs/ai/ai-github-copilot-agents.md): Custom agents for safe database migrations and query optimization in VS Code
- [Neon MCP Server overview](https://neon.com/docs/ai/neon-mcp-server.md): Connect your AI assistant to Neon to manage projects, run queries, and make schema changes
- [Optimize pgvector search](https://neon.com/docs/ai/ai-vector-search-optimization.md): Fine-tune parameters for efficient and accurate similarity searches in Postgres
- [Scale your AI application with Neon](https://neon.com/docs/ai/ai-scale-with-neon.md): Scale your AI application with Neon's Autoscaling and Read Replica features
- [Semantic Kernel](https://neon.com/docs/ai/semantic-kernel.md): Quickly build AI RAG and Agentic workflows with Semantic Kernel and Neon