OpenClaw Obsidian Integration — AI Agent for Your Knowledge Base

What Is Obsidian?

Obsidian is a popular knowledge management tool built around plain Markdown files stored locally on your device. Unlike cloud-based note apps, Obsidian is local-first — your data stays on your machine, giving you full ownership and privacy.

What makes Obsidian powerful is its extensibility. With hundreds of community plugins and a thriving ecosystem, you can turn Obsidian into anything from a personal wiki to a full project management system. Its graph view, backlinks, and bidirectional linking make it a favorite among researchers, developers, and writers.

Why Connect OpenClaw to Obsidian?

Your Obsidian vault is a treasure trove of knowledge — but finding and connecting information across hundreds or thousands of notes can be slow. By connecting OpenClaw to Obsidian, your AI agent gains the ability to:

• Search and read your notes — Ask your agent questions and get answers drawn directly from your vault
• Generate new content — Create new notes, meeting summaries, or draft documents based on your existing knowledge
• Answer questions from your knowledge base — “What did I write about X last month?” or “Summarize my notes on project Y”
• Summarize long documents — Condense lengthy notes into key takeaways
• Connect ideas across notes — Find relationships and patterns you might have missed

Instead of manually searching through folders and tags, you can simply ask your AI agent in natural language.

How It Works

OpenClaw accesses your Obsidian vault through the file system or via an API layer. There are three main approaches, depending on your setup:

1. MCP Server (Recommended) — Use an Obsidian-compatible MCP server to give your agent structured access to your vault
2. Local File Access — If OpenClaw runs on the same machine, point it directly at your vault directory
3. Obsidian REST API Plugin — Install the Obsidian Local REST API community plugin for HTTP-based access

Each method has trade-offs. MCP is the most flexible and best-supported path for AI agent integration. See our MCP guide for background on the Model Context Protocol.

Method 1: MCP Server (Recommended)

The MCP (Model Context Protocol) approach gives your OpenClaw agent structured, tool-based access to your Obsidian vault. This is the recommended method because it provides the cleanest integration and works with both local and remote setups.

1. Install an Obsidian-compatible MCP server (such as obsidian-mcp-server or a file-system MCP server pointed at your vault)
2. Configure the MCP server in your openclaw.json:

{
  "mcp": {
    "servers": {
      "obsidian": {
        "command": "npx",
        "args": [
          "obsidian-mcp-server",
          "--vault", "/path/to/your/obsidian/vault"
        ]
      }
    }
  }
}

Once configured, your agent can use MCP tools to search notes, read file contents, create new notes, and more. See best MCP servers for other server options that work with Obsidian vaults.

Method 2: Local File Access

If OpenClaw is running on the same machine as your Obsidian vault, you can give it direct file system access. This is the simplest approach for self-hosted setups.

Use a file-system MCP server (like @anthropic/mcp-filesystem) and point it at your vault directory:

{
  "mcp": {
    "servers": {
      "vault": {
        "command": "npx",
        "args": [
          "@anthropic/mcp-filesystem",
          "/path/to/your/obsidian/vault"
        ]
      }
    }
  }
}

This gives your agent read and write access to all Markdown files in your vault. The agent can search by filename, read note contents, create new notes, and append to existing ones.

Method 3: Obsidian REST API Plugin

The Obsidian Local REST API is a community plugin that exposes your vault over HTTP. This is useful when OpenClaw runs on a different machine or in a container.

1. Open Obsidian → Settings → Community Plugins → Browse
2. Search for “Local REST API” and install it
3. Enable the plugin and note the API key and port (default: 27124)
4. Configure OpenClaw to use the REST API endpoint in your agent's tool configuration

The REST API plugin provides endpoints for searching notes, reading/writing files, and listing vault contents. Your OpenClaw agent can call these endpoints as HTTP tools.

What Your Agent Can Do

Once connected to your Obsidian vault, your OpenClaw agent gains a range of capabilities:

• Search notes by content — “Find all my notes about machine learning”
• Create new notes — “Create a note summarizing today's meeting”
• Append to daily notes — “Add this task to today's daily note”
• Summarize documents — “Give me a summary of my research notes on quantum computing”
• Find connections between notes — “What topics overlap between my project-alpha and project-beta folders?”
• Generate flashcards — “Create Anki-style flashcards from my biology notes”

The agent works with your vault's existing folder structure, tags, and frontmatter. No special formatting or reorganization is required.

Troubleshooting

Vault Not Found

If the agent reports it cannot find your vault:

• Verify the vault path in your configuration is correct and uses an absolute path
• Check that the directory exists and contains an .obsidian folder
• On macOS, ensure the path uses /Users/yourname/, not ~/

Permission Errors

If you see “permission denied” errors:

• Ensure the user running OpenClaw has read (and optionally write) access to the vault directory
• On macOS, you may need to grant Terminal or your shell app Full Disk Access in System Settings → Privacy & Security
• For Docker-based setups, ensure the vault directory is correctly bind-mounted

MCP Connection Issues

If the MCP server fails to start or connect:

• Check that npx can resolve the MCP server package (run the command manually to verify)
• Ensure no other process is using the same port (for REST API method)
• Check the OpenClaw logs for MCP-related errors: pm2 logs openclawlaunch --lines 50
• See the MCP guide for general MCP troubleshooting

Obsidian + OpenClaw Launch

If you use OpenClaw Launch to host your AI agent, you can still connect it to your local Obsidian vault via an MCP server. Your managed OpenClaw instance connects to the MCP server, which runs on your local machine and provides access to your vault.

This means your notes never leave your machine — the MCP server acts as a bridge, and only the specific content your agent requests is transmitted. See our MCP guide for details on connecting local MCP servers to hosted instances.

Frequently Asked Questions

Can OpenClaw read my Obsidian notes?

Yes. Once you configure one of the three integration methods (MCP server, local file access, or REST API), your OpenClaw agent can search, read, and optionally write to your Obsidian vault. You control exactly which folders and files the agent can access.

Is my Obsidian data private?

Your vault data stays on your machine. With the MCP server or local file access methods, no data is uploaded to a third-party service. The AI model only sees the specific note content that your agent requests in response to your queries. If privacy is a top priority, use the local file access method with a self-hosted OpenClaw instance.

Which method is best?

For most users, the MCP server method is recommended. It provides the best balance of flexibility, security, and ease of setup. Local file access is simplest for self-hosted setups on the same machine. The REST API plugin is best when OpenClaw runs on a different machine or in a container.

Can OpenClaw write to my Obsidian vault?

Yes, if you configure write access. The agent can create new notes, append to existing ones, and update frontmatter. You can restrict the agent to read-only access if you prefer — configure this in your MCP server settings or file permissions.

What's Next?

• MCP Guide — Learn how the Model Context Protocol works and how to connect any tool to OpenClaw
• Best MCP Servers — Discover the top MCP servers to extend your AI agent's capabilities
• OpenClaw Memory — Give your agent persistent memory across conversations
• See pricing — Deploy your Obsidian-connected AI agent starting at $3/month