EAN-Search▌
by eansearch
Search products by barcode (EAN, UPC, GTIN) or keyword with EAN-Search.org — fast EAN, UPC & barcode lookup to find prod
Search products by barcode (EAN, UPC, GTIN) or keyword using the EAN-Search.org database.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / E-commerce developers building product catalogs
- / Retail applications needing barcode lookup
- / Inventory management systems
capabilities
- / Look up products by barcode scan or number
- / Search product database by keyword
- / Retrieve product details and specifications
- / Access EAN-Search.org database programmatically
what it does
Searches for product information using barcodes (EAN, UPC, GTIN) or keywords through the EAN-Search.org database.
about
EAN-Search is an official MCP server published by eansearch that provides AI assistants with tools and capabilities via the Model Context Protocol. Search products by barcode (EAN, UPC, GTIN) or keyword with EAN-Search.org — fast EAN, UPC & barcode lookup to find prod It is categorized under databases, developer tools.
how to install
You can install EAN-Search 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
EAN-Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the EAN-Search MCP server?
- EAN-Search 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 EAN-Search?
- This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 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
4.6★★★★★64 reviews- ★★★★★Emma Sharma· Dec 28, 2024
We evaluated EAN-Search against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Anika Thomas· Dec 28, 2024
EAN-Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Anaya Harris· Dec 24, 2024
EAN-Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Dec 12, 2024
I recommend EAN-Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zaid Haddad· Dec 12, 2024
According to our notes, EAN-Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arya Gonzalez· Dec 8, 2024
EAN-Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Noor Taylor· Nov 23, 2024
Useful MCP listing: EAN-Search is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aisha Mehta· Nov 19, 2024
We wired EAN-Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Anika Verma· Nov 19, 2024
According to our notes, EAN-Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mia Sanchez· Nov 15, 2024
EAN-Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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