Neon▌
by neondatabase-labs
Easily manage serverless Postgres databases on Neon, with seamless AWS integration for scalable, efficient database solu
Manage Neon's serverless Postgres databases.
github stars
★ 560
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Non-developers who need database access
- / Database schema changes and migrations
- / Teams wanting conversational database management
- / Rapid prototyping with serverless Postgres
capabilities
- / Create projects and branches
- / Run database queries in natural language
- / Perform database migrations
- / Manage Neon databases without writing SQL
- / Execute Neon API operations through conversational commands
what it does
Lets you manage Neon's serverless PostgreSQL databases using natural language commands instead of SQL or API calls.
about
Neon is an official MCP server published by neondatabase-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily manage serverless Postgres databases on Neon, with seamless AWS integration for scalable, efficient database solu It is categorized under databases.
how to install
You can install Neon 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
Neon is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Tools available in read-only mode
- `list_projects`, `list_shared_projects`, `describe_project`, `list_organizations` - `describe_branch`, `list_branch_computes`, `compare_database_schema` - `run_sql`, `run_sql_transaction`, `get_database_tables`, `describe_table_schema` - `list_slow_queries`, `explain_sql_statement` - `get_connection_string` - `search`, `fetch`, `list_docs_resources`, `get_doc_resource` **Tools requiring write access:** - `create_project`, `delete_project` - `create_branch`, `delete_branch`, `reset_from_parent` - `provision_neon_auth`, `provision_neon_data_api` - `prepare_database_migration`, `complete_database_migration` - `prepare_query_tuning`, `complete_query_tuning`FAQ
- What is the Neon MCP server?
- Neon 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 Neon?
- This profile displays 42 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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
4.5★★★★★42 reviews- ★★★★★Henry Jain· Dec 16, 2024
Neon reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Henry Srinivasan· Dec 16, 2024
Strong directory entry: Neon surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ishan Thompson· Dec 12, 2024
We wired Neon into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Dec 8, 2024
Neon has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Oshnikdeep· Nov 27, 2024
We evaluated Neon against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Soo Liu· Nov 7, 2024
I recommend Neon for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Olivia Thompson· Nov 3, 2024
Neon is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Omar Robinson· Nov 3, 2024
Neon is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Soo Garcia· Oct 26, 2024
According to our notes, Neon benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Valentina Jackson· Oct 22, 2024
Neon has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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