Create Mcp App
by modelcontextprotocol6d9bdc7babf2No licenseListed Oct 8, 2026Updated Oct 8, 2026
This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", "scaffold an MCP App", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides comprehensive guidance for building MCP Apps with interactive UIs.
- 6d9bdc7babf2Currentcommit 6d9bdc7Published Oct 8, 2026
Source and attribution
Source:modelcontextprotocol/ext-appsinplugins/mcp-apps/skills/create-mcp-appat 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.
Convert Web App
modelcontextprotocol
Guides adding MCP App support to an existing web app so it runs both standalone and inside MCP hosts.
Add App To Server
modelcontextprotocol
Guides adding interactive UI resources to existing MCP server tools using the MCP Apps SDK.
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.