Obsidian MCP Server
@pmmvr
关于 Obsidian MCP Server
MCP server enabling AI agents to perform natural knowledge discovery and analysis across Obsidian vault
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"obsidian-api-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"obsidian-api-mcp-server"
]
}
}
}工具
16Text or regex search across note content (optional)
Search type: "text" (default) or "regex"
Limit search to specific folder path
Filter by text in note titles (string, array, or JSON string)
How to match multiple terms: "any" (OR) or "all" (AND)
Filter by tag (string, array, or JSON string - searches frontmatter and inline #tags)
How to match multiple tags: "any" (OR) or "all" (AND)
Amount of content to return (set high for full content)
Boolean to retrieve complete content of all matching notes
Filter by creation date
Filter by modification date
Results per page
Limit matches per note
Directory to browse (defaults to vault root)
Boolean to include files (default: False, folders only for speed)
Boolean to browse all nested directories
概览
What is Obsidian MCP Server?
An MCP server that enables AI agents to perform sophisticated knowledge discovery and analysis across your Obsidian vault through the Local REST API plugin. It is designed for Obsidian users who want AI assistants to query, filter, and retrieve note content for complex, multi-step workflows.
How to use Obsidian MCP Server?
Install via pip or uv (pip install obsidian-api-mcp-server), set the required environment variables (OBSIDIAN_API_URL, optionally OBSIDIAN_API_KEY), and add the server to your MCP client configuration. Run the server with obsidian-mcp. It provides three tools: search_vault, get_note_content, and browse_vault_structure.
Key features of Obsidian MCP Server
- Advanced search with text, regex, and filter options
- Retrieve full note content and metadata
- Browse vault directory structure efficiently
- Filter by folder, title, tag, and creation/modification dates
- OR/AND logic for multiple title and tag terms
- Context length control and pagination for large vaults
Use cases of Obsidian MCP Server
- Strategic project analysis by retrieving and cross-referencing documentation
- Meeting action item extraction and chronological tracking
- Research gap analysis with cross-reference to team expertise
- Vault structure exploration for quick organizational overview
- Tag-based knowledge mapping across the entire vault
FAQ from Obsidian MCP Server
What prerequisites are needed?
Install the Obsidian Local REST API plugin in your vault, enable it, and note the API URL (default: https://localhost:27124) and API key if configured.
How do I configure authentication?
Set the OBSIDIAN_API_KEY environment variable if you have enabled an API key in the plugin. Avoid hardcoding it into scripts.
What tools does the server provide?
Three tools: search_vault (advanced search), get_note_content (retrieve full note by path), and browse_vault_structure (navigate directories).
Can I search with regular expressions?
Yes, set query_type to "regex" in search_vault. The server supports regex patterns for complex text matching, such as OR conditions.
Is SSL certificate verification disabled?
Yes, the server defaults to HTTPS and disables SSL verification for self-signed certificates. For plain HTTP, use port 27123.
记忆与知识 分类下的更多 MCP 服务器
Notion MCP Server
makenotionOfficial Notion MCP Server
🧠 Ultimate MCP Server
DicklesworthstoneComprehensive MCP server exposing dozens of capabilities to AI agents: multi-provider LLM delegation, browser automation, document processing, vector ops, and cognitive memory systems
Solomd
zhitongblogA markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
Context Portal MCP (ConPort)
GreatScottyMacContext Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.
RAG Documentation MCP Server
hannesrudolphAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
评论