mcp-server vs mcp
mcp-server: DollhouseMCP is an open-source platform that customizes AI through modular elements (personas, skills, templates, agents, memories, ensembles). It uses the MCP-AQL protocol with CRUDE endpoints and a Gatekeeper permission system for secure and flexible AI behavior modification. Installation is via npm or an interactive setup wizard, and it works across multiple platforms and MCP-compatible clients.; mcp: This MCP server uses pre-computed code graphs to provide sub-second responses for symbol lookups, call-graph traversal, and cross-subsystem analysis. It integrates with AI agents via the Model Context Protocol, offering both default symbol context mode and experimental GraphRAG mode for deeper code exploration. The server supports caching for fast performance and works with popular MCP clients like Claude Code CLI and Cursor.
TL;DR
Activate a read-only analyst persona to safely browse and list elements
AI agents understanding unfamiliar codebases instantly
Side-by-Side Comparison
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