Local Vector Search MCP runs on your own machine — the client starts it, so there is no endpoint to ping.
Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
Today is the operative word: we check Local Vector Search MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
BM25 search + tree navigation over markdown docs for AI agents. No embeddings, no LLM calls.
MCP server for the xAI Grok API — chat, vision, search, and embeddings
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
Search the web, generate AI responses, and create embeddings with real-time information
MCP server for the OpenAI ChatGPT API — chat, vision, and embeddings
Read-only semantic search MCP server for Obsidian vaults using local Ollama embeddings.
Answers built from our own checks of this server.