PostgreSQL Multi-Schema▌
by harjjotsinghh
PostgreSQL Multi-Schema offers read-only access with advanced schema support for secure query execution and multi-namesp
Provides read-only access to PostgreSQL databases with enhanced multi-schema support, enabling schema inspection, query execution, and isolation across multiple namespaces.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Multi-tenant applications with schema-per-tenant architecture
- / Database analysis across different organizational units
- / Secure data exploration with schema-level permissions
capabilities
- / Execute read-only SQL queries across multiple schemas
- / Inspect table schemas and metadata from authorized namespaces
- / Configure schema-level access control via allowlist
- / Discover tables across multiple schemas with isolation
- / Access column information and data types
what it does
Provides read-only access to PostgreSQL databases with the ability to specify and isolate multiple schemas for secure cross-schema querying.
about
PostgreSQL Multi-Schema is a community-built MCP server published by harjjotsinghh that provides AI assistants with tools and capabilities via the Model Context Protocol. PostgreSQL Multi-Schema offers read-only access with advanced schema support for secure query execution and multi-namesp It is categorized under databases, analytics data.
how to install
You can install PostgreSQL Multi-Schema 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 runs locally on your machine via the stdio transport.
license
MIT
PostgreSQL Multi-Schema is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
PostgreSQL Multi-Schema MCP Server
A Model Context Protocol server that provides read-only access to PostgreSQL databases with enhanced multi-schema support. This server enables LLMs to inspect database schemas across multiple namespaces and execute read-only queries while maintaining schema isolation.
Key Features
- Multi-Schema Support: Explicitly specify which schemas to expose through command-line configuration
- Schema Isolation: Strict access control to only authorized schemas listed during server startup
- Cross-Schema Discovery: Unified view of tables across multiple schemas while maintaining schema boundaries
- Metadata Security: Filters system catalogs to only expose user-defined tables in specified schemas
Components
Tools
- query
- Execute read-only SQL queries against the connected database
- Input:
sql(string): The SQL query to execute - All queries are executed within a READ ONLY transaction
- Schema context maintained through search_path restriction
Resources
The server provides schema information for each table across authorized schemas:
- Table Schemas (
postgres://<host>/<db_schema>/<table>/schema)- JSON schema information for each table
- Includes column names, data types, and type modifiers
- Automatically discovered from database metadata
- Multi-schema support with explicit schema allow-list
Usage
The server requires a database URL and accepts a comma-separated list of schemas to expose:
npx -y mcp-server-postgres-multi-schema <database-url> [schemas]
- database-url: PostgreSQL connection string (e.g.,
postgresql://localhost/mydb) - schemas: Comma-separated list of schemas to expose (defaults to 'public' if not specified)
Examples
# Connect with default public schema
npx -y mcp-server-postgres-multi-schema postgresql://localhost/mydb
# Connect with multiple schemas
npx -y mcp-server-postgres-multi-schema postgresql://localhost/mydb public,analytics,staging
Usage with Claude Desktop
Configure the "mcpServers" section in your claude_desktop_config.json:
NPX
{
"mcpServers": {
"postgres": {
"command": "npx",
"args": [
"-y",
"mcp-server-postgres-multi-schema",
"postgresql://localhost/mydb",
"public,audit"
]
}
}
}
License
This multi-schema MCP server is licensed under the MIT License. You may use, modify, and distribute the software according to the terms in the LICENSE file.
FAQ
- What is the PostgreSQL Multi-Schema MCP server?
- PostgreSQL Multi-Schema 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 PostgreSQL Multi-Schema?
- This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 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.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.4★★★★★51 reviews- ★★★★★Fatima Agarwal· Dec 20, 2024
PostgreSQL Multi-Schema has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Mei Bansal· Dec 12, 2024
Useful MCP listing: PostgreSQL Multi-Schema is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ren Thompson· Dec 12, 2024
PostgreSQL Multi-Schema is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kiara Kim· Dec 4, 2024
We evaluated PostgreSQL Multi-Schema against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Rahul Santra· Nov 27, 2024
We wired PostgreSQL Multi-Schema into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Zara Nasser· Nov 23, 2024
PostgreSQL Multi-Schema is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kiara White· Nov 23, 2024
PostgreSQL Multi-Schema has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yusuf Thompson· Nov 11, 2024
We evaluated PostgreSQL Multi-Schema against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ira Kim· Nov 3, 2024
Strong directory entry: PostgreSQL Multi-Schema surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ira Mensah· Oct 22, 2024
I recommend PostgreSQL Multi-Schema for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
showing 1-10 of 51