Obsidian 高性能模型上下文协议（MCP）服务器，通过语义操作和 HTTP 传输为 AI 工具提供直接的保险库访问。
概览
没有外部节点进程启动，也没有单独的REST-API插件需要桥接：服务器就是插件。设置是拖放式的——把.mcpb捆绑包放到Claude Desktop上，粘贴你的密钥，完成。 它暴露了——每项操作都是一整套操作族，而非单一调用（仅保险库工具就处理13个：列表、读取、创建、搜索、移动、拆分、合并等）——且支持跨链接、标签和反向链接的图遍历。每个操作都尊重你设置的权限——只读模式、每个操作控制以及路径允许/阻断列表——因此AI只执行你允许的操作，不会无限制地运行你的保险库。 —— Claude Desktop、Claude Code、Cline、Continue.dev 以及任何会本地 MCP 的软件。 模型上下文协议是一个开放标准，允许AI助手与外部工具和数据交互。你不需要理解它就能使用——快速启动只需三步。
概述（AI 翻译）
📦 可在Obsidian社区插件目录→
通过运行 _inside_Obsidian 的 MCP 服务器，从任何 AI 助手读取、写写、搜索并遍历你的 Obsidian 保险库。
没有外部节点进程启动，也没有单独的REST-API插件需要桥接：服务器就是插件。设置是拖放——把.mcpb捆绑包放到Claude Desktop上，粘贴你的密钥，完成。
它展示了8个强大工具——每个工具都包含一整套操作族，而非单一调用（仅vault工具就处理13个：列表、读取、创建、搜索、移动、拆分、合并等）——支持一流的Dataview和Bases支持，并支持跨链接、标签和反向链接的图遍历。每个操作都尊重你设置的权限——只读模式、每个操作的控制和路径允许/阻断列表——因此AI只执行你允许的操作，不会无限制地运行你的保险库。
支持任何兼容MCP的客户端——Claude Desktop、Claude Code、Cline、Continue.dev 以及任何支持本地MCP的程序。
MCP新手？ 模型上下文协议是一个开放标准，允许AI助手与外部工具和数据交互。
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
Semantic Notes Vault MCP
📦 Available in the Obsidian Community Plugin directory →
Read, write, search, and traverse your Obsidian vault from any AI assistant — through an MCP server that runs inside Obsidian.
No external Node process to launch, no separate REST-API plugin to bridge through: the server is the plugin. Setup is a drag-and-drop — drop the .mcpb bundle onto Claude Desktop, paste your key, done.
It exposes 8 powerful tools — each a whole family of operations, not a single call (the vault tool alone handles 13: list, read, create, search, move, split, combine, and more) — with first-class Dataview and Bases support plus graph traversal across links, tags, and backlinks. And every operation respects the permissions you set — a read-only mode, per-operation controls, and path allow/block lists — so the AI only ever does what you’ve allowed, not unrestricted run of your vault.
Works with any MCP-compatible client — Claude Desktop, Claude Code, Cline, Continue.dev, and anything that speaks local MCP.
New to MCP? The Model Context Protocol is the open standard that lets AI assistants interact with external tools and data. You don’t need to understand it to use this — the Quick Start is three steps.
Quick Start
Prerequisites: an MCP-compatible AI client like Claude Desktop, Claude Code, or Continue.dev.
📦 ──drag──▶ 🤖💬
Download the
.mcpbbundle from the plugin’s config page → drag it onto Claude Desktop → paste your key. Done.
For most people that’s the entire setup. The numbered steps below spell it out, then cover other MCP clients.
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)
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"obsidian-vault": {
"transport": {
"type": "http",
"url": "http://localhost:3001/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
}