obsidian-mcp-plugin
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- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 308 GitHub stars
Code Fail
- child_process — Shell command execution capability in build-worker.js
- execSync — Synchronous shell command execution in build-worker.js
- fs module — File system access in build-worker.js
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- Permissions — No dangerous permissions requested
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High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.
Semantic Notes Vault MCP
📦 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:
- Claude Desktop (Anthropic)
- Claude Code/Continue.dev (VS Code)
- Any platform that supports local MCP servers
Why Semantic MCP?
Traditional file access gives AI a narrow view - one document at a time. This plugin transforms that into semantic agency:
- Graph Navigation: AI follows links between notes, understanding relationships and context
- Concept Discovery: Semantic search finds related ideas across your vault
- Contextual Awareness: AI understands where information lives in your knowledge structure
- Intelligent Synthesis: Combine fragments from multiple notes to answer complex questions
Quick Start
Prerequisites: You need an MCP-compatible AI client like Claude Desktop, Claude Code, or Continue.dev.
1. Install the Plugin
Via Obsidian Community Plugins
- Open Settings → Community plugins → Browse
- Search for "Semantic Notes Vault MCP"
- Install and enable — or install straight from the plugin listing
Via BRAT (for beta testing)
- Install BRAT
- Add beta plugin:
aaronsb/obsidian-mcp-plugin
2. Configure Your AI Client
Three 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.
3. Start Using
Once connected, simply chat with your AI assistant about your notes! For example:
- "What are my recent thoughts on project X?"
- "Find connections between my psychology and philosophy notes"
- "Summarize my meeting notes from this week"
- "Create a new note linking my ideas about Y"
Your AI assistant now has these capabilities:
- Navigate your vault's link structure
- Search across all notes semantically
- Read, edit, and create notes
- Analyze your knowledge graph
- Work with Dataview queries (if installed)
- Manage Obsidian Bases (database views)
Core Tools
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 |
Documentation
Detailed documentation for each tool and feature:
- 📁 Vault Operations - File management and search
- ✏️ Edit Operations - Content modification strategies
- 🕸️ Graph Navigation - Link traversal and analysis
- 📊 Dataview Integration - Query language support
- 🔐 Security & Authentication - API keys and permissions
- 🔧 Configuration - Server settings and options
- ❓ Troubleshooting - Common issues and solutions
The Semantic Advantage
This plugin doesn't just give AI access to files - it provides semantic understanding:
Example: Research Assistant
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
Example: Knowledge Explorer
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
Features
Semantic Search
- Advanced query operators:
tag:,path:,content: - Regular expressions and phrase matching
- Relevance ranking and snippet extraction
Graph Intelligence
- Multi-hop traversal with depth control
- Backlink and forward-link analysis
- Path finding between concepts
- Tag-based navigation
Content Operations
- Fuzzy text matching for edits
- Structure-aware modifications (headings, blocks)
- Batch operations (split, combine, move)
- Template support
Integration
- Dataview query execution
- Bases database operations
- Web content fetching
- Read-only mode for safety
Plugin Settings
Access settings via: Settings → Community plugins → Semantic MCP
Key configuration options:
- Server Ports: HTTP (3001) and HTTPS (3443)
- Authentication: API key protection
- Security: Path validation and permissions
- Performance: Connection pooling and caching
Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Sponsor: GitHub Sponsors
License
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