// MCP TOOL REFERENCE

MCP DATA VISUALIZATION SERVER TOOLS

28 tools from the MCP Data Visualization Server MCP Server, categorised by risk level.

View the MCP Data Visualization Server policy →

// ALL 28 MCP DATA VISUALIZATION SERVER TOOLS

READ 18 tools

Read start_visualization_wizard Interactive wizard to create visualizations - shows available tables and chart types Read analyze_table Get detailed information about a table including columns, types, and sample data Read browse_and_select_database Interactively browse and select a database from a directory with numbered options Read browse_databases Browse and list available DuckDB database files in a directory Read browse_downloads_databases Browse database files specifically in the Downloads folder (C:\\Users\\X260\\Downloads) with numbered selec... Read explain_chart_types Get explanations of different chart types and their use cases Read get_column_stats Get detailed statistics for a specific column Read get_connection_info Get current database connection information Read list_catalogs List available Databricks catalogs Read list_recent_databases List recently used databases for quick switching Read list_schemas List available schemas in a Databricks catalog Read list_tables List all available database tables with metadata Read load_database Load a database file directly (DuckDB, CSV, etc.) without config changes Read server_status Get server status and health information Read suggest_visualizations Get visualization suggestions based on table structure and data types Read supported_formats List supported database formats and connection methods Read validate_chart_config Validate if column mappings are appropriate for a chart type Read connect_database_help Get help on how to connect databases to the visualization server

WRITE 9 tools

Write change_database Connect to a different DuckDB database file Write load_csv_data Load CSV file into the database as a new table Write configure_chart Configure chart parameters by answering column selection questions Write create_interactive_dashboard Generate an interactive HTML dashboard with filtering controls and multiple visualizations Write create_sample_chart Create a sample chart for testing (useful for development) Write create_visualization Start creating a data visualization from natural language request Write select_database_by_number Select a database by its number from the browse results Write select_downloads_database_by_number Select a database by its number from the Downloads browse results Write switch_catalog_schema Switch to a different Databricks catalog and schema

EXECUTE 1 tools

Execute query_data Execute a SQL query on the database and return results

// FAQ

How many tools does the MCP Data Visualization Server MCP server have? +

The MCP Data Visualization Server MCP server exposes 28 tools across 3 categories: Read, Write, Execute.

How do I enforce policies on MCP Data Visualization Server tools? +

Route the MCP Data Visualization Server server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard; they are enforced on every call before it reaches the server.

What risk categories do MCP Data Visualization Server tools fall into? +

MCP Data Visualization Server tools are categorised as Read (18), Write (9), Execute (1). Each category has a recommended default policy.

Enforce policy on every MCP Data Visualization Server tool call.

Start from MCP Data Visualization Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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