Aaron Bockelie244 downloadsGive Claude Desktop and other AI assistants semantic access to your notes through a built-in Model Context Protocol (MCP) server.
📦 Available in the Obsidian Community Plugin directory →
Give AI semantic agency over your knowledge graph
This plugin connects your Obsidian vault to AI assistants through MCP (Model Context Protocol), giving them the ability to understand and navigate your notes as a connected knowledge graph, not just isolated files. Through semantic hints and graph traversal, AI gains the agency to explore concepts, follow connections, and synthesize information across your entire vault.
MCP (Model Context Protocol) is the open standard that lets AI assistants interact with external tools and data sources. This plugin works with any MCP-compatible client including:
Traditional file access gives AI a narrow view - one document at a time. This plugin transforms that into semantic agency:
Prerequisites: You need an MCP-compatible AI client like Claude Desktop, Claude Code, or Continue.dev.
Via Obsidian Community Plugins
Via BRAT (for beta testing)
aaronsb/obsidian-mcp-pluginThree onboarding paths, ordered by audience. All three are also shown in the plugin's Settings tab with copy-ready values.
Claude Desktop — one-click .mcpb install (recommended)
Download obsidian-mcp-<version>.mcpb from the latest release, then either drag it onto the Claude Desktop window or double-click it. Claude Desktop opens an install dialog with two fields — paste the URL and API key shown in the plugin's Settings tab, hit Save, and you're done.
Cross-platform note:
.mcpbfiles install via Claude Desktop's bundled handler. If double-click doesn't trigger Claude on your system, drag the file onto Claude Desktop's window instead, or right-click → "Open with…" and pick Claude Desktop (then "always open with" if your OS asks). Behavior varies by platform: macOS usually auto-associates, Windows may need a one-time association, Linux varies by desktop environment.
Claude Code (CLI)
claude mcp add --transport http obsidian http://localhost:3001/mcp --header "Authorization: Bearer YOUR_API_KEY"
Other MCP clients (Cline, Continue, custom integrations, multi-vault setups)
Add an entry to the client's MCP config file — one entry per vault if you run multiple Obsidian instances on different ports:
{
"mcpServers": {
"obsidian-vault": {
"transport": {
"type": "http",
"url": "http://localhost:3001/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
}
Advanced: custom .mcpb per vault
For multi-vault setups that want one-click install per vault, clone this repo and run the maker:
node scripts/make-mcpb.mjs
# Prompts for display name, URL, and API key
# Outputs obsidian-mcp-<slug>.mcpb with everything pre-filled
Drop the resulting bundle into Claude Desktop and click Install — no fields to type.
Once connected, simply chat with your AI assistant about your notes! For example:
Your AI assistant now has these capabilities:
The plugin provides 8 semantic tool groups that give AI comprehensive vault access:
| Tool | Purpose | Key Actions |
|---|---|---|
| 📁 vault | File operations | list, read, create, search, move, split, combine |
| ✏️ edit | Content modification | window editing, append, patch sections |
| 👁️ view | Content display | view files, windows, active note |
| 🕸️ graph | Link navigation | traverse, find paths, analyze connections |
| 💡 workflow | Contextual hints | suggest next actions based on state |
| 📊 dataview | Query notes | Execute DQL queries (if installed) |
| 🗃️ bases | Database views | Query and export Bases (if available) |
| ℹ️ system | Vault info | Server status, commands, web fetch |
Detailed documentation for each tool and feature:
This plugin doesn't just give AI access to files - it provides semantic understanding:
User: "Summarize my research on machine learning optimization"
AI uses semantic tools to:
1. Search for notes with ML optimization concepts
2. Traverse graph to find related papers and techniques
3. Follow backlinks to discover applications
4. Synthesize findings from multiple connected notes
User: "What connections exist between my notes on philosophy and cognitive science?"
AI uses graph tools to:
1. Find notes tagged with both topics
2. Analyze shared concepts via graph traversal
3. Identify bridge notes that connect domains
4. Map the conceptual overlap
tag:, path:, content:Access settings via: Settings → Community plugins → Semantic MCP
Key configuration options: