I will be your supabase postgresql ai backend, pgvector, claude mcp server rls devops


Over deze dienst
Are you building an AI-powered application using Cursor, Lovable, Bolt.new, or OpenAIbut struggling to make your database play nice with your AI models?
Language models like Claude, GPT-5, and Perplexity are incredibly powerful, but they are only as good as the context and data you give them. Setting up a secure, lightning-fast database backend that talks to AI agents requires specialized Postgres expertise.
As a Supabase & AI Backend Engineer, I bridge the gap between your LLM applications and your data layer, I build secure, context-aware database architectures designed specifically for autonomous agents and semantic search.
What I Can Do For Your Project:
- Advanced Vector Search: Implement and optimize pgvector for storing and querying text/image embeddings efficiently using HNSW indexing.
- Claude Code & MCP Setup: Configure the Supabase (MCP) Server so AI agents can safely inspect and reason over your schemas.
- AI Data Sandboxing: Set up zero-trust data sandboxes using advanced Row-Level Security (RLS) to ensure AI agents never leak sensitive user data.
- Agentic Framework Connectors : To LangChain, LlamaIndex, or Vercel AI SDK pipelines.
Kindly message me!!!
Maak kennis met Krispel
FULLSTACK DEVELOPER SUPABASE ENGINEER SOFTWARE DEVELOPER
- Afkomstig uitVerenigd Koninkrijk
- Lid sindssep 2026
- Gem. reactietijd1 uur
Talen
Engels, Duits, Spaans
Andere Vibe coding diensten die ik aanbied
Veelgestelde vragen
What is an MCP Server and why does my AI app need it?
The Model Context Protocol (MCP) is an open standard that allows AI models (like Anthropic’s Claude Code) to securely interact with external data sources. Setting this up on Supabase allows your AI agents to safely read your database schemas and query data without compromising security.
Why use Supabase pgvector instead of standalone vector databases like Pinecone?
pgvector keeps your traditional relational data (users, orders, profiles) and your vector embeddings in the exact same database. This eliminates complex sync pipelines, reduces your infrastructure costs, and lets you perform powerful relational SQL joins alongside semantic search.
Did you build your application using Cursor, Lovable, Bolt.new, or v0?
While AI tools are fantastic at generating code fast, they often leave massive security loopholes, ignore Row-Level Security (RLS), and fail at scale.As a dedicated Supabase & Postgres Engineer, I step in where AI leaves off.

