原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Hatchdoor

作者:BatterWorks版本 2.8.1i★ –i在你的电脑上运行
注册名称io.github.BatterWorks/hatchdoor

安装

概览

作者提供的说明(英文原文)

Self-host your Obsidian vaults: a web UI for you, MCP for your AI agents. No Obsidian, no plugins.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: Streamable HTTP
  • 分类: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "hatchdoor": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/battermanz/hatchdoor:2.8.1"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add hatchdoor -- docker run -i --rm docker.io/battermanz/hatchdoor:2.8.1

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "hatchdoor": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/battermanz/hatchdoor:2.8.1"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "hatchdoor": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/battermanz/hatchdoor:2.8.1"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 BatterWorks 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2201 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2201 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 2201 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Hatchdoor 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.8.1)于26天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT7天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT4天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Hatchdoor

Self-host your Obsidian vaults: a web UI for you, MCP for your AI agents. No Obsidian, no plugins required.

Hatchdoor reads your vault directly from disk, and any folder of Markdown notes works. No Local REST API plugin, no desktop app that has to stay running. Browse, search, and edit your notes in a fast web UI, and point a Model Context Protocol (MCP) client like Claude, Claude Code, Codex, Cursor, or Hermes at the same vault so your agent can read, search (keyword and semantic), create, edit, move, and link notes. One server manages as many vaults as you give it, every write goes through the same atomic vault operations the UI uses, with optimistic concurrency and optional automatic git commit-and-push. The web UI and your agents are two front doors to one vault.

Your Markdown files stay the source of truth. Hatchdoor builds a disposable SQLite read model for fast browsing, links, backlinks, keyword search, semantic search, graph data, and metadata. If the cache is deleted, Hatchdoor rebuilds it from the vault.

Hatchdoor was built with AI coding agents, primarily Claude Code and Codex, under close human review, with tests and a documented safety model.

▶ Try the live demo , a read-only public vault, or read the user documentation for setup and usage guides.

Contents

  • What You Get
  • Screenshots
  • Who It Is For
  • How Hatchdoor Compares
  • What Is Next
  • Quick Start With Docker
  • Data And Safety Model
  • Configuration
  • MCP Agent Access
  • Versioning and Git Sync
  • Running Without Docker
  • Troubleshooting
  • Security Notes
  • Development
  • Project Docs
  • License

What You Get

  • A web UI for browsing folders and Markdown notes.
  • Native multi-vault: one instance serves several vaults, each with its own source, git sync, and agent scope.
  • Clean note URLs at /v/ /n/ .
  • Obsidian-style wikilinks for [[Note]], [[Folder/Note]], and [[Note|Alias]], and Markdown links to .md files, both kept up to date through renames and moves. New links follow each vault's own link style.
  • Saved queries: a fenced base block in Obsidian's Bases syntax draws a live table of the notes it selects, for people and agents alike.
  • Markdown rendering with GitHub-flavored Markdown, math, Mermaid diagrams, frontmatter, images, attachments, and broken-link styling.
  • Keyword search and semantic search.
  • Recent notes, backlinks, outbound links, stats, and graph views.
  • A live editor in the browser when the vault mount is writable: the note opens ready to type in, Markdown syntax shows only on the line you are on, and edits save by themselves. It works the way Obsidian's Live Preview does.
  • Attachment uploads, local asset serving, and inline previews for linked PDF vault assets.
  • A first-class MCP server so AI agents can read, search, create, edit, and link notes with the same safety as the UI, rename or delete a tag across a whole vault in one checked operation, and move attachments of any size through short-lived download and upload links.
  • Agent reads sized for a context window: compact search hits, an outline of a long note and just the sections asked for, and an exact-string search that counts every occurrence.
  • A setup checklist on a fresh install that goes from an empty instance to an agent searching your notes, with a folder picker in place of container paths.
  • The manual built into the app: Help beside whatever you are doing, the same pages for agents through read_docs and search_docs, and as plain Markdown at /docs/ on every instance.
  • Optional automatic git commits and pushes for Hatchdoor writes, each commit naming where its changes came from (the web UI, a named agent, or an outside edit), with sync conflicts resolved on your Git host through a recovery branch.
  • PWA assets and service worker caching for common read paths.
  • Distroless, rootless container image (no shell, runs as nonroot) that deploys with either Docker or Podman.

Screenshots

Knowledge graph : notes, links, and tags

Semantic + keyword search

Dark mode

Responsive & installable (PWA)

Who It Is For

Hatchdoor is useful if you have a folder of Markdown notes and want a private web interface for them.

It is beginner-friendly enough to run with Docker Compose, but it also includes advanced features for people who want agent access, git-backed vault sync, semantic search, and local development.

Hatchdoor is not a hosted sync service, not a multi-user collaboration platform, and not a replacement for Obsidian. It is a self-hosted companion for a Markdown vault you control.

How Hatchdoor Compares

The MCP-for-Obsidian field is crowded. The honest short version: if you live inside the Obsidian app and want the smallest possible bridge to it, the plugin-based tools are fine. Hatchdoor is for when you want the vault served independently of Obsidian: from a homelab box, for browsers and agents at once, across more than one vault.

Hatchdoormcp-obsidianLocal REST APIBasic MemoryOpenKnowledge
What it isSelf-hosted vault server: web UI + MCPMCP bridge to the REST pluginThe REST plugin itselfAI memory over local Markdown, MCP-firstWYSIWYG Markdown editor with side-by-side AI
Works without Obsidian installed✅ reads the vault from disk❌ needs Obsidian + plugin running❌ runs inside Obsidian✅✅ own editor
Web UI for humans✅ self-hosted, live demo❌❌Paid cloud app✅ desktop + local web app
Serves multiple vaults✅ one server, per-vault git sync❌❌✅ projects❌ one folder per instance
Write safety for agent editsAtomic writes, optimistic concurrencyVia plugin REST API—Overwrite guards—
Deploys as a service✅ Docker/Podman, rootless, token auth❌ desktop-bound❌❌ local process (cloud is paid)❌ local CLI app

Basic Memory and OpenKnowledge are good projects solving adjacent problems (agent memory, an AI-native editor). Hatchdoor overlaps them only where your notes are a vault you want served: one always-on service, for browsers and agents at once.

What Is Next

The next large feature is multi-account handling with permission scoping. Today Hatchdoor assumes a single trusted user on a private deployment, so whoever reaches the instance sees every vault it serves. The plan is to let several people and agents share one instance, each scoped to the vaults they are granted, with an admin role that manages the rest. A household or a small team could then run one Hatchdoor instead of one per person.

v2.5.0 already made vaults independent, addressable things the product manages, including vault scoping for MCP agents. What is missing is the half that was deliberately deferred: accounts, authentication, and an access boundary the server enforces rather than the UI implies. Targeted at v3.

Two other things are wanted but not slotted to a version yet:

  • Agent provenance and undo. Which agent changed a note, a before/after diff beside the commit it produced, and one-click revert. Today git is the whole answer: each commit names the agent that made it, but reading a commit log is not the same as seeing what an agent did to your note.
  • Vault integrity checks. A vault-scoped lint for orphaned notes, broken wikilinks, and layer markers whose declaration has vanished, so a vault an agent maintains unattended cannot quietly drift out of shape.

The product roadmap has the full set of workstreams and where each one stands.

Quick Start With Docker

Have an AI agent with a terminal, such as Claude Code or Codex? Give it this one line and it installs Hatchdoor for you, asking a few questions first:

Read https://hatchdoor.battercloud.cc/docs/deploy.md and install Hatchdoor for me.

To do it by hand, follow the steps below.

1. Requirements

You need:

  • Docker and Docker Compose (Podman and podman compose also work)
  • A Markdown vault folder, or an empty folder if you want to start from nothing
2. Create Your Config

Copy the example environment file:

cp .env.example .env

The defaults mount an empty vault folder beside the Compose file. To use an existing vault, uncomment its host path in .env:

HOST_VAULT_PATH=/absolute/path/to/your/markdown-vault

What these mean:

  • HOST_VAULT_PATH is your Markdown vault on the host machine.
  • HOST_CACHE_PATH, HOST_STATE_PATH, and HOST_MODELS_PATH are optional host-side locations for the generated cache, authoritative Vault registry, and downloaded models; Compose defaults them beside the project.

Before the first managed-Vault start, create the default authoritative state directory with access for the image's numeric nonroot user. Docker otherwise may create a missing bind source as root, leaving the registry unwritable:

mkdir -p data/state

chmod 700 data/

只显示了开头部分;其余内容请在仓库中阅读

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