Obsidian MCP Server
Provides AI assistants with tools to manage Obsidian notes via hybrid semantic search (BM25, Voyage AI, Cohere), full CRUD, backlinks, and live indexing without restart.
README
obsidian-mcp
MCP server for Obsidian vaults with hybrid semantic search.
Features
- Hybrid search: BM25 + Voyage AI embeddings + Cohere reranking
- Backlinks: Pre-computed wikilink graph
- Similar notes: Discover hidden connections
- Full CRUD: Create, read, update, delete, move notes
- Live indexing: Index notes directly from Claude Code without restart
Installation
cd obsidian-mcp
uv sync
Configuration
- Copy
.env.exampleto.envand add your API keys:
VOYAGE_API_KEY=your_key
COHERE_API_KEY=your_key # optional
- Set your vault path in
config/settings.yaml:
vault:
path: "D:\\path\\to\\your\\vault"
Usage
Recommended Workflow (via MCP)
The recommended workflow is to use the MCP tools directly from Claude Code:
1. write -> Create or modify a note (auto-indexes by default)
2. search -> Note is instantly searchable
Notes are automatically indexed after write, so manual indexing is only needed for:
- Notes created manually in Obsidian (use
indextool) - Bulk imports (use
indexwithfull=True)
Interactive Menu
python obsidian-menu.py
CLI
# Full indexation
python obsidian-cli.py --vault "/path/to/vault" index --full
# Incremental indexation
python obsidian-cli.py --vault "/path/to/vault" index
# Status
python obsidian-cli.py --vault "/path/to/vault" status
# Search
python obsidian-cli.py --vault "/path/to/vault" search "query"
Note: CLI indexation requires a Claude Code restart for changes to be visible in MCP searches due to ChromaDB caching. Use the
indexMCP tool instead for live updates.
Claude Code Configuration
Option 1: HTTP/SSE Server (Recommended)
Run as a shared HTTP server to avoid duplicating processes across Claude sessions.
1. Start the HTTP server:
uv run python -m src.server_http
# Server runs on http://127.0.0.1:8322/mcp
2. Configure Claude Code (~/.claude.json):
{
"mcpServers": {
"obsidian": {
"type": "sse",
"url": "http://127.0.0.1:8322/mcp"
}
}
}
3. (Optional) Run as systemd service (Linux):
# Create ~/.config/systemd/user/obsidian-mcp.service
[Unit]
Description=Obsidian MCP HTTP Server
After=network.target
[Service]
Type=simple
WorkingDirectory=/path/to/obsidian-mcp
Environment="VOYAGE_API_KEY=your_key"
Environment="COHERE_API_KEY=your_key"
Environment="OBSIDIAN_VAULT=/path/to/vault"
ExecStart=/path/to/uv run python -m src.server_http
Restart=on-failure
[Install]
WantedBy=default.target
# Enable and start
systemctl --user daemon-reload
systemctl --user enable --now obsidian-mcp
Option 2: Stdio (per-session)
Add to ~/.claude.json:
{
"mcpServers": {
"obsidian": {
"command": "uv",
"args": ["--directory", "/path/to/obsidian-mcp", "run", "python", "-m", "src.server"],
"env": {
"VOYAGE_API_KEY": "your_key",
"COHERE_API_KEY": "your_key",
"OBSIDIAN_VAULT": "/path/to/vault"
}
}
}
}
MCP Tools
| Tool | Description |
|---|---|
search |
Hybrid semantic search (BM25 + embeddings + reranking) |
read |
Read note with metadata and frontmatter |
write |
Create or update note (auto-indexes by default) |
delete |
Delete note |
move |
Move or rename note |
list |
List notes with folder/tag filters |
backlinks |
Find notes linking to a note |
similar |
Find semantically similar notes |
index |
Index new/modified notes (live, no restart) |
refresh |
Rebuild BM25 index from ChromaDB |
reload |
Reset all caches and connections |
Auto-Indexing (Write Tool)
By default, write automatically indexes the note after creating or modifying it:
# Auto-indexes after writing (default)
write(path="Notes/my_note.md", content="...")
# Disable auto-indexing if needed
write(path="Notes/my_note.md", content="...", auto_index=False)
This makes new notes instantly searchable without manual indexing.
Index Tool
The index tool indexes notes directly within the MCP server process, avoiding ChromaDB cache synchronization issues:
# Incremental indexation (default)
index() # Only indexes new/modified notes
# Full reindexation
index(full=True) # Reindexes all notes
Why use index instead of CLI?
ChromaDB maintains an HNSW index cache per process. When you index via CLI (separate process), the MCP server doesn't see the changes until restart. The index tool solves this by:
- Running indexation in the same process as the MCP server
- Resetting internal caches after indexation
- Making new notes immediately searchable
Project Structure
obsidian-mcp/
src/
server.py # MCP server (11 tools)
indexer.py # Indexation engine
retriever.py # Hybrid search (BM25 + semantic + RRF)
note_parser.py # Obsidian markdown parser
wikilink_graph.py # Backlink graph
config/
settings.yaml # Configuration
chroma_db/ # Vector database (ChromaDB)
obsidian-cli.py # CLI interface
obsidian-menu.py # Interactive menu
Technical Details
Hybrid Search Pipeline
- BM25: Lexical search for exact term matching
- Semantic: Voyage AI embeddings (
voyage-3) for meaning - Fusion: Reciprocal Rank Fusion (RRF) combines results
- Reranking: Cohere reranker (
rerank-v4.0-pro) for final ordering
Embedding Model
- Model:
voyage-3 - Dimensions: 1024
- Provider: Voyage AI
Database
- ChromaDB with persistent storage
- SQLite backend with WAL mode
- HNSW index for fast similarity search
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。