MCP (Model Context Protocol) server starter template
Hello mcp mcp server connects Hello MCP to AI assistants that speak the Model Context Protocol. MCP (Model Context Protocol) server starter template.
A comprehensive starter template for building Model Context Protocol (MCP) servers, specifically designed for UI libraries and component registries. This template provides a robust foundation for creating MCP servers that can fetch, categorize, and provide component information to AI assistants like Claude.
Once connected, the assistant can call these 3 tools directly:
getButtons — Get all button componentsgetForms — Get all form componentsgetUIComponents — Returns a comprehensive list of all UI components from your registrySetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Hello MCP sits in that group, and the shape of its toolset — getButtons, getForms, getUIComponents — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| getButtons | Get all button components |
| getForms | Get all form components |
| getUIComponents | Returns a comprehensive list of all UI components from your registry. |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.