ErlVectorDB MCP Server

Example Use Cases

• 1

  A scalable, fault-tolerant vector database with distributed clustering and replication.

• 2

  Secure OAuth 2.1 authenticated access to vector storage and search operations.

• 3

  AI-powered semantic search and document analysis integrated via Gemini AI.

Description

ErlVectorDB is a fault-tolerant, concurrent vector database implemented in Erlang/OTP, leveraging the Actor model and OTP supervision trees. It supports distributed clustering with automatic replication and failover, multiple vector compression algorithms, and a full REST API alongside the MCP protocol. The server integrates AI features via Google's Gemini AI for semantic search and intelligent document analysis, providing scalable and secure vector operations for AI/ML applications.