What dependencies does Obsidian MCP Server require?
It requires Node.js 18 or later and read/write access to an Obsidian vault (Markdown files). The server is built on Express.js and uses the gray‑matter library for YAML frontmatter.
@smith-and-web
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"obsidian": {
"command": "npx",
"args": [
"@smith-and-web/obsidian-mcp-server"
],
"env": {
"VAULT_PATH": "/path/to/your/vault",
"PORT": "3001"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. It allows you to access notes, create content, manage tags, and search your knowledge base through natural conversation.
Run the server via npx with the VAULT_PATH environment variable, or deploy with Docker. It exposes an SSE endpoint (port 3000 by default) that MCP clients like Claude Desktop or Cursor can connect to using mcp-remote. Configure the server in your AI assistant’s MCP settings pointing to the SSE URL.
It requires Node.js 18 or later and read/write access to an Obsidian vault (Markdown files). The server is built on Express.js and uses the gray‑matter library for YAML frontmatter.
It reads and writes directly to the vault directory you mount at startup. No external database is used; all data lives in your existing `.md` files.
Yes, the server supports optional API key authentication. When `API_KEY` is set, all `/sse` and `/message` endpoints require a Bearer token or `api_key` query parameter. The `/health` endpoint remains public.
It uses Server‑Sent Events (SSE) for real‑time communication. Clients connect to `/sse` and can send messages via POST to `/message`. A direct MCP call endpoint is also available at `/sse` (POST).
The server offers a compact response mode to reduce token usage. For large vaults, using `get-notes-info` instead of reading content improves efficiency. Full read/write access to the vault means caution is needed; delete operations require confirmation.
Project context your AI can query through MCP — with source evidence.

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Ask your Takibi Base collections anything; get answers with cited passages and a support score.

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.
コメント