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Install Velt collaboration features into your React or Next.js project through an AI coding agent. The Velt MCP (Model Context Protocol) server connects to editors like Claude Code, Cursor, and Windsurf, enabling guided installation with plan generation, codebase scanning, and user approval — all through natural conversation.

When to Use the MCP Installer

  • You are using an AI coding agent (Claude Code, Cursor, Windsurf, or Claude Desktop)
  • You want an interactive, guided setup with automatic codebase analysis
  • You want the AI to generate an implementation plan before making changes
  • You need help wiring Velt into an existing authentication system or document structure
For a non-interactive, terminal-based workflow, see the CLI page instead.

Prerequisites

  • Node.js 18+
  • An existing React or Next.js project (Next.js App Router, Pages Router, Vite + React, or Create React App)
  • A Velt API key and auth token
  • An MCP-compatible AI coding editor
For the best results, install Velt Agent Skills before using the MCP installer. Skills give your AI agent access to verified Velt implementation patterns.
npx skills add velt-js/agent-skills
See Agent Skills for details.

Quickstart

Step 1: Add the MCP Server

Add the Velt MCP server to your editor. The commands below use npx to automatically download and run @velt-js/mcp-installer. You can also install it globally with:
npm install -g @velt-js/mcp-installer
Run this command in your terminal:
claude mcp add velt-installer -- npx -y @velt-js/mcp-installer
Restart your editor after adding the config.

Step 2: Start the Installation

In your AI chat, say:
install velt
The AI will walk you through each step one at a time:
  1. Confirm your project directory
  2. Provide your Velt API key and auth token
  3. Select features (or type SKIP for CLI-only mode)
  4. Choose where to install VeltProvider (app/page.tsx recommended)
  5. Choose corner position for Velt UI components
  6. Review the implementation plan
  7. Approve and apply changes

Installation Modes

Guided Mode (Default)

The guided mode generates a full implementation plan with codebase analysis before making any changes. Workflow:
  1. Collect info — the AI asks setup questions one at a time (project path, API key, auth token, features, provider location, corner position)
  2. Discovery consent — the AI asks whether to scan your codebase for integration points (document ID sources, authentication patterns, JWT wiring)
  3. Verification — if scanning is approved, the AI shows findings for you to confirm, edit, or override
  4. Plan generation — a detailed implementation plan is generated based on your project structure and wiring data
  5. Apply — after you approve the plan, the AI applies changes step by step
  6. Validation — full QA validation runs automatically after installation
The installer recommends placing VeltProvider in app/page.tsx, not app/layout.tsx. Follow this recommendation unless you have a specific reason to do otherwise.

CLI-Only Mode (SKIP)

For experienced Velt developers who want the scaffold files without full integration:
  1. At the feature selection step, type SKIP
  2. The Velt CLI runs with core-only flags
  3. You receive a TODO checklist for manual setup
Use this mode when you want to wire features yourself or just need the base files.

Available Features

FeatureDescription
CommentsInline comments with 8 types: freestyle, popover, page, text, inline, tiptap, lexical, slate
PresenceReal-time user avatars and online status
CursorsLive cursor position tracking
NotificationsAsync collaboration notifications
RecorderSession recording and playback
CRDTCollaborative editing with Tiptap, CodeMirror, BlockNote, or ReactFlow

Codebase Discovery

In guided mode, the installer can automatically scan your project for integration points:
Discovery TargetWhat It Detects
Document IDDynamic route params ([id]), query params, state variables, database fetches
User AuthenticationNext-Auth, Clerk, Auth0, Firebase Auth, Supabase Auth, custom auth
JWT AuthenticationToken generation endpoints, bearer auth patterns
Setup LocationRoot layout, specific pages, custom providers
Each finding includes a confidence level (HIGH, MEDIUM, LOW, NONE). For uncertain findings, the installer asks you to verify rather than guessing. If you decline the codebase scan, the AI asks a manual questionnaire covering document ID source, user authentication, JWT setup, and component insertion location.

Framework Support

FrameworkSupport"use client" Directives
Next.js (App Router)FullAuto-applied
Next.js (Pages Router)FullN/A
Vite + ReactFullNot needed
Create React AppFullNot needed

Generated Code Structure

After installation, the generated files follow this pattern:
app/
├── layout.tsx              # Wraps with AppUserProvider
├── page.tsx                # Contains VeltProvider with authProvider hook
└── userAuth/
    ├── AppUserContext.tsx   # User context provider
    └── useAppUser.tsx       # User data hook

components/velt/
├── VeltInitializeUser.tsx      # Exports useVeltAuthProvider hook
├── VeltInitializeDocument.tsx  # Exports useCurrentDocument hook
└── VeltCollaboration.tsx       # All Velt feature components

app/api/velt/token/
└── route.ts                # JWT token generation API (if JWT is configured)

MCP Tools

The MCP server exposes these tools to your AI agent:
ToolDescription
install_velt_interactiveUnified installer with guided or CLI-only mode
install_velt_freestyleLegacy installer for basic freestyle comments
take_project_screenshotCapture a screenshot of your running app via Playwright
detect_comment_placementAnalyze project structure to find the best locations for comments

Troubleshooting

MCP server not loading

After adding the configuration, restart your editor. The MCP server runs over stdio and must be started by the editor process.

AI not detecting the installer

Verify the MCP config is valid JSON and that npx -y @velt-js/mcp-installer runs successfully in your terminal. You can test with:
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | npx -y @velt-js/mcp-installer

Discovery scan returns low confidence

If the codebase scan cannot determine your document ID or auth setup with confidence, the AI will ask explicit follow-up questions. You can also choose the manual questionnaire path by declining the scan.

Validation errors after installation

The installer runs QA validation automatically. Check the browser console for Velt-specific errors after starting your dev server. Common issues include missing API keys or incorrect document IDs.

Next Steps

  • Agent Skills: Install skills to improve AI-generated Velt code
  • CLI: Terminal-based Velt setup without an AI agent
  • Quickstart: Manual step-by-step Velt setup
  • Comments Overview: Learn about commenting features
  • Key Concepts: Understand documents, locations, users, and access control