ai-ml

DollhouseMCP

by DollhouseMCP

DollhouseMCP — a Model Context Protocol (MCP) server for dynamic AI persona management with a GitHub-powered AI assistan

A comprehensive Model Context Protocol (MCP) server that enables dynamic AI persona management with an integrated GitHub-powered marketplace, allowing Claude and other compatible AI assistants to activate different behavioral personas.

github stars

28

GitHub-integrated marketplaceDynamic persona switching1858+ tests coverage

best for

  • / AI developers creating specialized assistants
  • / Users wanting different AI interaction styles
  • / Teams needing role-specific AI responses
  • / Educational scenarios requiring varied AI personas

capabilities

  • / Activate different AI personas with distinct personalities
  • / Browse persona marketplace powered by GitHub
  • / Create custom persona configurations
  • / Switch personas mid-conversation
  • / Share personas with the community
  • / Manage persona libraries locally

what it does

Enables AI assistants like Claude to dynamically switch between different behavioral personas and personalities during conversations. Includes a GitHub-powered marketplace for discovering and sharing persona configurations.

about

DollhouseMCP is an official MCP server published by DollhouseMCP that provides AI assistants with tools and capabilities via the Model Context Protocol. DollhouseMCP — a Model Context Protocol (MCP) server for dynamic AI persona management with a GitHub-powered AI assistan It is categorized under ai ml.

how to install

You can install DollhouseMCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

AGPL-3.0

DollhouseMCP is released under the AGPL-3.0 license.

readme

DollhouseMCP

Project Status

MCP Compatible npm version License: AGPL-3.0 GitHub Views

Build & Quality

Core Build & Test Build Artifacts Test Coverage Enterprise-Grade Security

Quality Gate Status Security Rating Maintainability Rating Reliability Rating Bugs Vulnerabilities

Platform Support

Windows Build Status macOS Build Status Linux Build Status Docker

Technology

TypeScript Node.js Extended Node Compatibility Docker Testing


🌐 Repository: https://github.com/DollhouseMCP/mcp-server
🏪 Collection: https://github.com/DollhouseMCP/collection
📦 NPM Package: https://www.npmjs.com/package/@dollhousemcp/mcp-server
🌍 Website: https://dollhousemcp.com


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

Open Source, Community-Powered AI Customization

Create, Edit, and Share Customization Elements for Your AI Platforms

Install Collection Contribute

</div>

Elements That Customize Your AI's Capabilities and Actions

DollhouseMCP is open source, community-powered AI customization. Create your own customization elements—personas that shape behavior, skills that add capabilities, templates for consistent outputs, agents for automation, and memories for persistent context—or use and modify an ever-growing number of customization elements from the community. Every element you create can be saved to your portfolio and used again or shared back to the DollhouseMCP Collection to help others.

What Are Customization Elements?

  • Personas – Shape how your AI acts and responds in specific domains
  • Skills – Add specialized capabilities your AI can use
  • Templates – Ensure consistent, high-quality outputs
  • Agents – Enable autonomous task completion with smart decision-making
  • Memory – Persistent context storage across sessions

Core Capabilities

  • 🌍 Community Element Library – A growing number of tested personas, skills, templates, agents, and memories
  • ✨ Create Custom Elements – Create personas, skills, templates, agents, and memories from scratch using natural language
  • 🤝 Open Source – AGPL-3.0 licensed, ensuring community contributions stay free
  • 📚 The DollhouseMCP Collection – Install any community element with one command
  • 🛠️ 41 Professional Tools – Complete toolkit for element creation and management
  • 🛡️ Security-First Validation – All elements validated against hundreds of attack vectors
  • ⚡ Hot-Swap Elements – Change personas, skills, and templates without restarting as needed
  • 📦 Personal Portfolio – Your library of custom AI configurations on your local computer or personal GitHub repo

Claude Skills Compatibility

100% lossless round-trip conversion between DollhouseMCP Skills and Claude Skills—all metadata, validation, and structure preserved without loss in either direction.

Import Claude Skills into the DollhouseMCP ecosystem for enhanced version control, deployment across hundreds of AI platforms that support MCP servers, security validation against hundreds of attack vectors, and integration with personas, templates, agents, and memories. Convert DollhouseMCP Skills to Claude Skills when you need compatibility with Claude-specific environments that cannot run DollhouseMCP.

Complete Skills Converter Guide – Lossless round-trip translation in both directions with CLI reference and examples

→ Use the DollhouseMCP skill-converter skill to convert directly from chat on LLMs with command-line access like Claude Code, Cursor, Gemini Code Assist, etc.

Use Cases

<table> <tr> <td width="25%" align="center"> <h4>👨‍💻 For Developers</h4> <p>Use community-powered code review personas and debugging skills. Share your language-specific optimizations.</p> </td> <td width="25%" align="center"> <h4>✍️ For Writers</h4> <p>Access community-crafted writing styles and templates. Contribute your genre expertise.</p> </td> <td width="25%" align="center"> <h4>🎯 For Professionals</h4> <p>Leverage community-built industry elements. Share your domain knowledge.</p> </td> <td width="25%" align="center"> <h4>🌟 For Everyone</h4> <p>Give your AI any personality you want. Describe it, modify it, save it to your portfolio, share it with the world.</p> </td> </tr> </table>

Get Started

npm install @dollhousemcp/mcp-server

See Quick Start for complete setup instructions.


🎯 Element Types

✅ Available Now

<table> <tr> <td width="50%">

🎭 Personas

Shape how your AI behaves and responds

  • Creative Writer - Imaginative storyteller for engaging narratives
  • Business Consultant - Strategic advisor for business decisions
  • Debug Detective - Systematic problem-solver for code issues
  • Security Analyst - Vulnerability assessment and threat analysis
  • Technical Analyst - Deep dive technical documentation
  • Use: "Activate the creative writer persona"
</td> <td width="50%">

💡 Skills

Add specialized capabilities your AI can use

  • Code Review - Analyze code quality and suggest improvements
  • Data Analysis - Statistical analysis and visualization
  • Language Translation - Multi-language communication
  • API Integration - Connect and interact with external services
  • Testing Automation - Generate and run test suites
  • Use: "Enable the code review skill"
</td> </tr> <tr> <td width="50%">

📝 Templates

Ensure consistent, high-quality outputs

  • Project Proposal - Structured business proposals
  • Penetration Test Report - Security assessment documentation
  • Meeting Notes - Organized meeting summaries
  • Code Review - Systematic code evaluation format
  • Documentation - Technical documentation structure
  • Use: "Use the project proposal template"
</td> <td width="50%">

🤖 Agents

Enable autonomous task completion

  • Code Reviewer - Automated code qu

FAQ

What is the DollhouseMCP MCP server?
DollhouseMCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for DollhouseMCP?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    DollhouseMCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated DollhouseMCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: DollhouseMCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    DollhouseMCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend DollhouseMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: DollhouseMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    DollhouseMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, DollhouseMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired DollhouseMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    DollhouseMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.