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官方说明7 个来源MCP 服务8 天前
DollhouseMCP/mcp-server

DollhouseMCP/mcp-server

Reusable personas, skills, templates, agents
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-server -- npx -y mcp-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
46 ★ · DollhouseMCP/mcp-server · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 46 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 DollhouseMCP/mcp-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

DollhouseMCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Open-source AI customization through modular elements.**
Website · Browse the Collection · NPM Package · Discord
---
How It Works
**Pick any path to start:**
- **Activate** a starter element from your portfolio — your AI immediately changes
- **Create** any element type (persona, skill, template, agent, memory, ensemble) by describing what you want in plain English
- **Edit** any existing element to refine it
- **Browse** the community collection and install elements made by other users
Your **portfolio** (~/.dollhouse/portfolio/ on macOS/Linux, %USERPROFILE%\.dollhouse\portfolio\ on Windows) is a local folder that holds all your Dollhouse elements. It ships with 37 starters — including the **dollhouse-expert-suite** ensemble (persona + knowledge base) you can activate for guided help. Everything you create or install lands here. Share back to the community or sync to GitHub whenever you're ready.
---
Quick Start
> **v2.0.0 is now available.** DollhouseMCP v2 is the default release. Release notes | Migration guide | Report issues
DollhouseMCP installs on any MCP-compatible AI client — Claude Code, Claude Desktop, Cursor, Gemini, Codex, and local LLMs. Core element management (create, activate, search, browse) works across all platforms. Advanced features (Gatekeeper confirmation flows, agentic loop execution) have been tested extensively on Claude Code and should work on any client that supports standard MCP tool call/response patterns.
**Interactive Setup** (any platform):
Opens a browser-based setup wizard with one-click install for Claude Desktop, Claude Code, Cursor, VS Code, Codex, Gemini CLI, Windsurf, Cline, and LM Studio. Detects existing installations, supports auto-updating and pinned versions.
**Permission hook support** in the setup wizard currently breaks down like this:
| Platform | Setup status | Permission hook status |
| --- | --- | --- |
| Claude Code | One-click install | Full native support |
| Cursor | One-click install | Partial native support |
| VS Code | One-click install | Partial native support |
| Codex | One-click install | Partial native support, Bash-only |
| Gemini CLI | One-click install | Partial native support |
| Windsurf | One-click install | Partial native support |
| Cline | One-click install | MCP setup only in this release |
| LM Studio | One-click install | MCP setup only in this release |
| Claude Desktop | One-click install | No native permission hook path in this release |
**Claude Code** (one command):
**Claude Desktop** (one-click install):
Download the DollhouseMCP Desktop Extension (.mcpb file) and double-click it. Claude Desktop handles the rest — no terminal required.
**Other platforms** — see the Quick Start Guide or run the interactive setup above.
Then start a conversation:
DollhouseMCP ships with 38 Dollhouse elements across all 6 types. Just describe what you want in natural language.
> **First time?** The Public Beta Onboarding Guide walks you from install to your first activated Dollhouse persona in under 10 minutes.
---
Dollhouse Elements: Behavior, Capabilities, and Permissions
Dollhouse elements are modular building blocks that customize your AI. When you activate a Dollhouse element, you're not just changing a prompt — you're changing what tools the AI can access, what commands it can run, and what operations require your approval.
| Dollhouse Element | What It Does |
|---|---|
| **Dollhouse Personas** | Shape behavior, tone, expertise, and priorities. Act as security principals with permission policies that control what the AI can do. |
| **Dollhouse Skills*** | Add discrete capabilities the AI can activate on demand. Code review, data analysis, penetration testing, translation, and more. |
| **Dollhouse Templates** | Standardize outputs with variable substitution. Reports, emails, briefs, documentation — consistent structure every time. Variables are auto-derived from {{placeholder}} tokens in content — no manual schema needed. |
| **Dollhouse Agents** | Execute multi-step goals autonomously. State tracking, resilience policies, autonomy evaluation, and an execution lifecycle. |
| **Dollhouse Memories** | Persist structured context across sessions. Facts, preferences, project state. Can auto-load on startup. |
来源
awesome · https://github.com/DollhouseMCP/mcp-server
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