by sveltejs
Access Svelte documentation, code analysis, and autofix tools for Svelte 5 & SvelteKit. Improve projects with smart migr
Provides direct access to official Svelte documentation and automatically analyzes Svelte code for issues, patterns, and migration opportunities. Includes playground link generation for testing code snippets.
Svelte is an official MCP server published by sveltejs that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Svelte documentation, code analysis, and autofix tools for Svelte 5 & SvelteKit. Improve projects with smart migr It is categorized under databases, developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
You can install Svelte in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Svelte is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Share your MCP server with the developer community
Useful MCP listing: Svelte is the kind of server we cite when onboarding engineers to host + tool permissions.
Svelte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Svelte surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Svelte benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Svelte is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Svelte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Svelte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Svelte surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Svelte is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Svelte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Repo for the official Svelte MCP server.
pnpm i
cp apps/mcp-remote/.env.example apps/mcp-remote/.env
pnpm dev
[!NOTE] Currently to prevent having a bunch of Timeout logs on vercel we shut down the SSE channel immediately. This means that we can't use
server.logand we are not sendinglist-changednotifications. We can use elicitation and sampling since those are sent on the same stream of the POST request
pnpm run inspect
Then visit http://localhost:6274/
Streamable HTTPpnpm run db:studio
https://local.drizzle.studio/ ","githubUrl":"https://github.com/sveltejs/mcp"}]
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Prerequisites
Time Estimate
15-30 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.