Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vertica MCP Servershow me the top 10 customers by total sales last month"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vertica MCP Server
A Model Context Protocol (MCP) server for Vertica databases. Enables AI assistants to query and explore Vertica databases through natural language.
Safety-first design: Readonly mode by default. Write operations require explicit configuration.
Features
6 MCP Tools: Query execution, streaming, schema discovery
Readonly Protection: Only SELECT/SHOW/DESCRIBE/EXPLAIN/WITH queries by default
Large Dataset Streaming: Efficient batch processing (up to 1M rows)
Vertica-Optimized: Projection awareness, columnar query support
Production Ready: Connection pooling, SSL support, timeout configuration
Parameter Binding: SQL injection protection
Quick Start
Claude Code
Create your .env file with connection details:
Cursor
Create environment file
~/.cursor/vertica.env:
Configure
~/.cursor/mcp.json:
Restart Cursor
Claude Desktop
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
Configuration
Required Variables
Optional Variables
Enabling Write Operations
To allow INSERT/UPDATE/DELETE/CREATE/DROP operations:
Warning: Only disable readonly mode if you understand the implications.
Available Tools
Query Execution
execute_query: Execute SQL with optional parameters
stream_query: Handle large datasets with configurable batching
Schema Discovery
get_table_structure: Table columns, types, constraints
list_tables: All tables in schema with metadata
list_views: All views with definitions
list_indexes: Vertica projections for optimization
Usage Examples
Query Data
Explore Schema
Analyze Performance
Stream Large Results
When querying large datasets, use the stream_query tool:
Default batch size: 1000 rows
Configurable batch size: 1-10,000 rows
Maximum rows: 1,000,000
Troubleshooting
Connection Failed
Verify:
Host and port are reachable
Database credentials are correct
User has required permissions
Permission Errors
User needs SELECT permissions on tables
User needs access to system catalogs (
v_catalog.*)
Query Timeouts
Increase timeout for complex queries:
Large Result Sets
Use stream_query instead of execute_query for queries returning >10,000 rows.
Requirements
Node.js >= 18.0.0
Vertica database (any recent version)
Network access to Vertica server
Support
Issues: GitHub Issues
Releases: GitHub Releases
License
MIT License - see LICENSE file.
Acknowledgments
This project's architecture and tool design are based on mcp-vertica by @nolleh.
Current Version: 1.3.5