
DollhouseMCP
A full-featured customization layer for AI assistants built on MCP. You get six element types that work together: personas that define behavior and enforce permission policies, skills that add discrete capabilities, templates with auto-derived variable substitution, agents that execute multi-step goals with state tracking, memories for persistent context, and ensembles that bundle everything into reusable configurations. Ships with 38 starter elements in a local portfolio directory. The dollhouse-expert-suite ensemble activates a guided setup persona. Create or edit elements in plain English, activate them to change what your AI can do and which operations require approval, then share back to the community collection. Tested heavily on Claude Code with varying support across Cursor, VS Code, Gemini CLI, and other MCP clients.
- tools
- 2
- transport
- STDIO
- last updated
- Oct 9, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
mcp_aql_readList, search, get details, activate, introspect
List, search, get details, activate, introspect
No parameter schema in public metadata yet.
mcp_aql_deleteRemove elements, clear entries
Remove elements, clear entries
No parameter schema in public metadata yet.
Sponsors
Readme
Details
- Repository
- github.com/dollhousemcp/mcp-server
- Package
@dollhousemcp/mcp-server- Transport
- STDIO
- Registry
- MCP registry, active