
Add App To Server
by modelcontextprotocol6d9bdc7babf2No licenseListed Oct 8, 2026Updated Oct 8, 2026
This skill should be used when the user asks to "add an app to my MCP server", "add UI to my MCP server", "add a view to my MCP tool", "enrich MCP tools with UI", "add interactive UI to existing server", "add MCP Apps to my server", or needs to add interactive UI capabilities to an existing MCP server that already has tools. Provides guidance for analyzing existing tools and adding MCP Apps UI resources.
- 6d9bdc7babf2Currentcommit 6d9bdc7Published Oct 8, 2026
Source and attribution
Source:modelcontextprotocol/ext-appsinplugins/mcp-apps/skills/add-app-to-serverat commit6d9bdc7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from modelcontextprotocol/ext-apps

Migrate Oai App
modelcontextprotocol
Guides migration of OpenAI Apps SDK applications to the MCP Apps SDK with API mapping tables and checklists.

Create Mcp App
modelcontextprotocol
Guides building MCP Apps: MCP tools paired with interactive HTML UI resources for MCP-enabled hosts.

Convert Web App
modelcontextprotocol
Guides adding MCP App support to an existing web app so it runs both standalone and inside MCP hosts.
More in AI & Agents

Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.

Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.

Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.

Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.

Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.

Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.