Synapstor Semantic Store

Example Use Cases

• 1

  Perform semantic search over codebases and documentation using embeddings stored in Qdrant.

• 2

  Store and retrieve contextual snippets with metadata for context-aware LLM prompts via the MCP protocol.

• 3

  A local or Docker-deployable MCP server to integrate with tools like Claude, Cursor, Windsurf, and Microsoft Copilot.

Description

Synapstor provides a complete solution to index, store and perform semantic search over documents, code and other textual content using embeddings and the Qdrant vector database. It includes embedding providers, an extensible plugin system, CLI tools for indexing and a MCP server implementation for integration with LLMs (Claude, Cursor, Windsurf, Copilot, etc.). The project is Docker-friendly, designed for local development or cloud Qdrant deployments, and emphasizes modularity and extensibility for custom workflows.