Integrations
Obsidian MCP Server
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.
Example Interactions
- "Create a new note for standup tomorrow describing the code changes I've made today" (should also use Git)
- "Check my notes about project ideas"
- "Check what todos I have related to refactoring"
Tools
Read
- getAllFilenames
- Gets a list of all filenames in the Obsidian vault
- Useful for discovering what files are available
- readMultipleFiles
- Retrieves the contents of specified files from the Obsidian vault
- Supports exact filenames, partial filenames, or case-insensitive matches
- Each file's content is prefixed with '# File: filename' for clear identification
- getOpenTodos
- Retrieves all open TODO items from markdown files in the Obsidian vault
- Finds unchecked checkbox items (lines containing '- [ ] ')
- Returns them with their file locations
Write
- updateFileContent
- Updates the content of a specified file in the Obsidian vault with new markdown content
- If the file doesn't exist, it will be created
- Automatically creates any necessary directories
Install & build
Integrating with Claude Desktop and Cursor
To use your MCP server with Claude Desktop add it to your Claude configuration:
For Cursor go to the MCP tab Cursor Settings
(command + shift + J). Add a server with this command:
Comparison with Other Solutions
While this implementation is intentionally lightweight, other solutions like jacksteamdev/obsidian-mcp-tools offer a more feature-rich approach as an Obsidian plugin.
This standalone server has the advantage of direct filesystem access without requiring the Obsidian application to be running.
Resources
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
A lightweight server that enables AI assistants like Cursor & Claude to read from and write to Obsidian vaults, allowing actions like creating notes, checking existing content, and managing todos through natural language.
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