MCP servers for embeddings

Smarter AI Development Workflows

A self-hosted embedding server with HTTP, gRPC and MCP APIs, verified model installation, batching, health checks, metrics and Windows and Linux releases.

Self-hosted documentation RAG pipeline that serves semantic search to LLM agents over the Model Context Protocol.

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it