Advertise
MCP.so
Sign In

Wandering RAG MCP Server

@wandermyz

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

wandermyz

About Wandering RAG MCP Server

A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed as an MCP server.

#mcp#obsidian#rag

Wandering RAG MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "wandering-rag": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Wandering RAG MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Wandering RAG?

A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, and other sources, stores it in Qdrant, and exposes it as an MCP server (e.g., for use with Claude Desktop).

How to use Wandering RAG?

Install with uv pip install -e ., run a Qdrant server using the provided Docker Compose file, copy .env.example to .env, and specify your Markdown folders or Obsidian vaults. Use the CLI subcommands: wandering-rag md index for Markdown, wandering-rag notion index (work in progress), and wandering-rag mcp run-server to start the MCP server. Configure Claude Desktop by adding the server to its MCP configuration JSON.

Key features of Wandering RAG

  • CLI‑based personal RAG system
  • Indexes Markdown from folders or Obsidian vaults
  • Notion indexing (work in progress)
  • Stores indexed data in Qdrant vector database
  • Exposes a Model Context Protocol (MCP) server

Use cases of Wandering RAG

  • Query personal notes (e.g., “When did I adopt my cat?”) through Claude Desktop
  • Combine data from Obsidian, Markdown, and Notion in a single retrieval pipeline
  • Run a local, self‑hosted RAG system without external cloud dependencies

Frequently asked questions

1

What dependencies are required?

You need a running Qdrant server (a Docker Compose file is provided) and a `.env` file with your configuration (e.g., Markdown folder paths).

2

How do I configure Wandering RAG for Claude Desktop?

Add an entry to the `mcpServers` object in Claude Desktop’s config, pointing the `command` to your checkout’s `wandering-rag` script with arguments `["mcp", "run-server"]` and setting the `PATH` environment variable to include `~/.local/bin`.

3

Is Notion indexing fully supported?

Notion commands are listed as “WIP” (work in progress); only `notion index` is available, and its maturity is not stated.

4

Where is the indexed data stored?

Data is stored in Qdrant, a vector database that runs locally via Docker.

5

What file formats can be indexed?

The README explicitly shows support for Markdown files (via `md index`) and mentions Obsidian vaults (which are Markdown‑based). No other formats are confirmed as working.

Comments

More Memory & Knowledge MCP servers

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Snipara

alopez3006

MCP connector for Snipara, the Project Brain for AI coding agents

1

Stele

Stele-Dev

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Context7 MCP - Up-to-date Docs For Any Cursor Prompt

upstash

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

58.7K
Advertise