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Wandering RAG

Wandering RAG

Local
github.com/wandermyzMemory & Knowledge6Updated 79w ago

About Wandering RAG

Wandering RAG is a CLI for personal RAG that indexes content from sources such as Notion, Obsidian, and Apple Notes in Qdrant. It also runs an MCP server for accessing that content, with Markdown indexing documented and Notion indexing marked as work in progress.

Key features

  1. 01Index Markdown folders
  2. 02Support Obsidian vaults
  3. 03Notion indexing marked as work in progress
  4. 04Store indexed data in Qdrant
  5. 05Run an MCP server

Use cases

  1. 01Search personal Markdown notes with RAG
  2. 02Access indexed notes from Claude Desktop

MCP support

Its CLI can run an MCP server that provides access to personal RAG data stored in Qdrant.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Wandering RAG

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

(So that Claude Desktop successfully answers my question "When did I adopt my cat and when did I change her cat litter most recently? ")

Installation

Using uv (recommended):

uv pip install -e .

Run a Qdrant server if you don't have one:

cd qdrant-docker
docker-compose up -d

Copy .env.example as .env and specify the Markdown folders (or Obsidian vaults)

Usage

The CLI provides several subcommands:

Markdown commands
./wandering-rag md index
Notion commands (WIP)
./wandering-rag notion index
MCP commands
./wandering-rag mcp run-server

Configure for Claude Desktop

{
    "mcpServers": {
        "wandering-rag": {
            "command": "<your git checkout path>/wandering-rag/wandering-rag",
            "args": ["mcp", "run-server"],
            "env": {
                "PATH": "<your home folder>/.local/bin:/usr/bin:$PATH"
            }
        }
    }
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.