MCP Embedding Storage Server

Example Use Cases

• 1

  Persist user or application knowledge as vector embeddings for long-term memory and retrieval.

• 2

  Perform semantic search over documents, notes, or knowledge sections to find the most relevant content.

• 3

  A pluggable vector store integration (embeddings API + database) to connect MCP-compatible assistants like Claude to a custom knowledge base.

Description

This repository provides a starter template for building an MCP-compatible server that processes content, generates embeddings, and stores both content and vectors in a database to enable semantic search. It includes example tools and resources for storing content and querying by similarity, plus pre-defined prompts for common operations. The boilerplate is designed to be easily adapted to different embedding APIs and vector databases and to integrate with MCP assistants like Claude.

Capabilities(1 total)