AgentIndex icon
AgentIndex
mcp-server logo
mcp-server
★ 46
vs
registry logo
registry
★ 32

mcp-server vs registry

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.; registry: MCP Armory Registry provides production-ready MCP servers for popular APIs, generated from OpenAPI specs. Each server is a standalone Python package tested against live APIs. Hosted on MCP Armory or run independently.

01

TL;DR

mcp-server logo
mcp-serverDev Tooling · ★ 46

Activate a read-only analyst persona to safely browse and list elements

Read mcp-server full review →
registry logo
registryDev Tooling · ★ 32

Connect AI agents to real-world APIs for autonomous task execution

Read registry full review →
02

Side-by-Side Comparison

Field
mcp-server logomcp-server
registry logoregistry
Category
Dev Tooling
Dev Tooling
Stars
★ 46
★ 32
License
AGPL-3.0
NOASSERTION
Install Command
npx @dollhousemcp/mcp-server@latest --web
pip install mcparmory-github && mcparmory-github
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai, ai-tools
ai-agents, ai-tools, api-integration
03

Features

mcp-server logomcp-server
01Modular elements (personas, skills, templates, agents, memories, ensembles) for flexible AI customization
02MCP-AQL protocol with CRUDE endpoints reducing token usage by 85%
03Gatekeeper server-side permission system with deny/confirm/allow policies
04Interactive setup wizard with one-click install for Claude Code, Desktop, Cursor, and more
05Local-first portfolio management with GitHub sync and community collection
registry logoregistry
01Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
02Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
03Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
04Pydantic validation — request parameters are validated before sending to the API
05Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
04

Use Cases

mcp-server logomcp-server
↳Activate a read-only analyst persona to safely browse and list elements
↳Create custom skills for code review, data analysis, or translation
↳Execute multi-step agents with human-in-the-loop control for complex tasks
registry logoregistry
↳Connect AI agents to real-world APIs for autonomous task execution
↳Quickly deploy a production-ready MCP server for a popular API without manual coding
↳Simplify API integration for MCP-compatible clients like Claude Desktop or Cursor
FAQ

FAQ

What is the difference between mcp-server and registry?
Both mcp-server and registry are in the Dev Tooling category. mcp-server has 46 stars, while registry has 32 stars.
Which is better, mcp-server or registry?
The best choice depends on your use case. Choose mcp-server if Activate a read-only analyst persona to safely browse and list elements, and registry if Connect AI agents to real-world APIs for autonomous task execution.
Is mcp-server free or open source?
Yes, mcp-server is open source on GitHub (AGPL-3.0).
Is registry free or open source?
Yes, registry is open source on GitHub (NOASSERTION).
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Related

Alternatives to mcp-server →Alternatives to registry →mcp-server details →registry details →