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ClaudeWave

A Free, Open Source MCP server for dynamic custom persona management with public a GitHub collection of personas, skills, templates, and other elements for AI models.

MCP ServersOfficial Registry39 stars15 forksTypeScriptAGPL-3.0Updated today
ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (AGPL-3.0)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
  • Documented (README)
Last scanned: 8/6/2026
Install in Claude Code / Claude Desktop
Method: NPX · @dollhousemcp/mcp-server
Claude Code CLI
claude mcp add mcp-server -- npx -y @dollhousemcp/mcp-server
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": ["-y", "@dollhousemcp/mcp-server"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# DollhouseMCP

[![npm version](https://img.shields.io/npm/v/@dollhousemcp/mcp-server.svg)](https://www.npmjs.com/package/@dollhousemcp/mcp-server)
[![License: AGPL-3.0](https://img.shields.io/badge/License-AGPL--3.0-blue.svg)](https://www.gnu.org/licenses/agpl-3.0)
[![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-green)](https://modelcontextprotocol.io)
[![Core Build & Test](https://github.com/DollhouseMCP/mcp-server/actions/workflows/core-build-test.yml/badge.svg)](https://github.com/DollhouseMCP/mcp-server/actions/workflows/core-build-test.yml)
[![9600+ Tests](https://img.shields.io/badge/Tests-9600%2B-brightgreen)](https://github.com/DollhouseMCP/mcp-server)
[![GitHub Views](https://komarev.com/ghpvc/?username=DollhouseMCP&repo=mcp-server&label=Views&style=flat)](https://github.com/DollhouseMCP/mcp-server)

[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=DollhouseMCP_mcp-server&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=DollhouseMCP_mcp-server)
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[![Windows](https://img.shields.io/badge/Windows-✓-0078D4?logo=windows&logoColor=white)](https://github.com/DollhouseMCP/mcp-server/actions/workflows/core-build-test.yml)
[![macOS](https://img.shields.io/badge/macOS-✓-000000?logo=apple&logoColor=white)](https://github.com/DollhouseMCP/mcp-server/actions/workflows/core-build-test.yml)
[![Linux](https://img.shields.io/badge/Linux-✓-FCC624?logo=linux&logoColor=black)](https://github.com/DollhouseMCP/mcp-server/actions/workflows/core-build-test.yml)

<div align="center">
  <img src="docs/assets/dollhouse-logo.png" alt="DollhouseMCP" width="200" />

  **Open-source AI customization through modular elements.**

  [Website](https://dollhousemcp.com) · [Browse the Collection](https://dollhousemcp.github.io/collection/) · [NPM Package](https://www.npmjs.com/package/@dollhousemcp/mcp-server) · [Discord](https://discord.gg/bzY2tkT6rQ)
</div>

---

## How It Works

```
 CREATE or EDIT                    PORTFOLIO                   ACTIVATE → USE
 ─────────────────────────────────────────────────────────────────────────────

 "Create a skill for            📁 ~/.dollhouse/portfolio/    "Activate the Dollhouse
  writing blog posts"                                              Expert ensemble"
                                 37 starter elements:
 "Edit the code review      ──▶  personas · skills ·       ──▶  Your AI now has
  persona to add security"       templates · agents ·           new behavior,
                                 memories · ensembles           capabilities, and
  persona · skill · template                                    permission policies
  agent · memory · ensemble      + everything you create
                                 + community installs
```

**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](https://dollhousemcp.github.io/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](https://github.com/DollhouseMCP/mcp-server/releases/tag/v2.0.0) | [Migration guide](docs/guides/v2-migration-guide.md) | [Report issues](https://github.com/DollhouseMCP/mcp-server/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):

```bash
npx @dollhousemcp/mcp-server@latest --web
```

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):

```bash
claude mcp add -s user dollhousemcp -- npx -y @dollhousemcp/mcp-server
```

**Claude Desktop** (one-click install):

Download the [DollhouseMCP Desktop Extension](https://github.com/DollhouseMCP/mcp-server/releases/latest) (`.mcpb` file) and double-click it. Claude Desktop handles the rest — no terminal required.

**Other platforms** — see the [Quick Start Guide](docs/guides/quick-start.md) or run the interactive setup above.

Then start a conversation:

```
"What DollhouseMCP tools do you have available?"
"List all available Dollhouse personas"
"Activate the Dollhouse debug detective persona"
```

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](docs/guides/public-beta-onboarding.md) 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. <br> 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. <br> Code review, data analysis, penetration testing, translation, and more. |
| **Dollhouse Templates** | Standardize outputs with variable substitution. <br> 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. <br> State tracking, resilience policies, autonomy evaluation, and an execution lifecycle. |
| **Dollhouse Memories** | Persist structured context across sessions. <br> Facts, preferences, project state. Can auto-load on startup. |
| **Dollhouse Ensembles** | Bundle multiple elements into one activatable unit. <br> Activation strategies, conflict resolution, and coordinated permission policies. |

> **\*Skills Compatibility**
>
> Dollhouse Skills (introduced July 2025) predate the agent skills format later adopted by Claude/Anthropic. DollhouseMCP includes a built-in lossless bidirectional converter between the two formats.
>
> - **Import**: Convert agent skills → Dollhouse Skills via `convert_skill_format`. Once converted, they're first-class Dollhouse elements — combinable with Personas, Templates, and other Skills inside Ensembles, managed by Dollhouse Agents, and protected by Gatekeeper policies.
> - **Export**: Convert Dollhouse Skills → agent skills for platforms that don't have DollhouseMCP installed.
> - **Roundtrip**: The converter supports a lossless mode that preserves everything in both directions. A safe mode is also available that sanitizes potentially risky patterns during conversion.
>
> [Full Skills Converter documentation](docs/guides/skills-converter.md)

All Dollhouse elements are readable markdown or YAML files stored in your local portfolio. You own them, you control them. When interacting with your AI, use "Dollhouse" to disambiguate — say "activate the Dollhouse code review persona" or "run the Dollhouse research agent" to ensure the AI uses DollhouseMCP elements rather than native platform features.

---

## MCP-AQL: How Your AI Talks to DollhouseMCP

Most MCP servers expose dozens of individual tools, each consuming context tokens and forcing the LLM to pick the right one from a flat list. DollhouseMCP takes a different approach.

**MCP-AQL** (Model Context Protocol – **A**dvanced **A**gent **A**PI **A**dapter **Q**uery **L**anguage) organizes all operations into 5 semantic endpoints — **CRUDE**: Create, R
agentsaiai-toolsclaudecodexcursordollhousemcpensemblesllmmcpmcp-servermemorymodel-context-protocolpersonasprompt-engineeringskillstemplatestypescriptvscodewindsurf

What people ask about mcp-server

What is DollhouseMCP/mcp-server?

+

DollhouseMCP/mcp-server is mcp servers for the Claude AI ecosystem. A Free, Open Source MCP server for dynamic custom persona management with public a GitHub collection of personas, skills, templates, and other elements for AI models. It has 39 GitHub stars and its last recorded update is dated 2026-08-05.

How do I install mcp-server?

+

You can install mcp-server by cloning the repository (https://github.com/DollhouseMCP/mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is DollhouseMCP/mcp-server safe to use?

+

Our security agent has analyzed DollhouseMCP/mcp-server and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains DollhouseMCP/mcp-server?

+

DollhouseMCP/mcp-server is maintained by DollhouseMCP. The last recorded GitHub activity is dated 2026-08-05, with 929 open issues.

Are there alternatives to mcp-server?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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