Svelte▌
by sveltejs
Access Svelte documentation, code analysis, and autofix tools for Svelte 5 & SvelteKit. Improve projects with smart migr
Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Svelte developers needing quick documentation reference
- / Code review and quality improvement for Svelte projects
- / Migrating existing Svelte applications to version 5
- / Learning Svelte best practices and patterns
capabilities
- / Retrieve official Svelte 5 and SvelteKit documentation
- / List all available documentation sections
- / Generate Svelte playground links from code snippets
- / Analyze Svelte components for issues and anti-patterns
- / Detect migration opportunities for Svelte 5
- / Provide intelligent code fixing suggestions
what it does
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.
about
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.
how to install
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.
license
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.
readme
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Repo for the official Svelte MCP server.
Dev setup instructions
pnpm i
cp apps/mcp-remote/.env.example apps/mcp-remote/.env
pnpm dev
- Set the VOYAGE_API_KEY for embeddings support
[!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
Local dev tools
MCP inspector
pnpm run inspect
Then visit http://localhost:6274/
- Transport type:
Streamable HTTP - http://localhost:5173/mcp
Database inspector
pnpm run db:studio
https://local.drizzle.studio/ ","githubUrl":"https://github.com/sveltejs/mcp"}]
FAQ
- What is the Svelte MCP server?
- Svelte is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Svelte?
- This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
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
Data Analysis & Reporting
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
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ 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.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★71 reviews- ★★★★★Pratham Ware· Dec 28, 2024
Useful MCP listing: Svelte is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Evelyn Gonzalez· Dec 20, 2024
Svelte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Liam Zhang· Dec 16, 2024
Strong directory entry: Svelte surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dev Rahman· Dec 16, 2024
According to our notes, Svelte benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ganesh Mohane· Dec 12, 2024
Svelte is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yusuf Agarwal· Dec 12, 2024
We wired Svelte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Evelyn Choi· Dec 4, 2024
We wired Svelte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dev Thompson· Nov 23, 2024
Strong directory entry: Svelte surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Yuki Yang· Nov 23, 2024
Svelte is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sakshi Patil· Nov 19, 2024
Svelte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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