Skip to main content
Glama

MCP Vertica

by nolleh

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
execute_query

Execute a SQL query and return the results.

Args: ctx: FastMCP context for progress reporting and logging query: SQL query to execute database: Optional database name to execute the query against Returns: Query results as a string
stream_query

Execute a SQL query and return the results in batches as a single string.

Args: ctx: FastMCP context for progress reporting and logging query: SQL query to execute batch_size: Number of rows to fetch at once Returns: Query results as a concatenated string
copy_data

Copy data into a Vertica table using COPY command.

Args: ctx: FastMCP context for progress reporting and logging schema: vertica schema to execute the copy against table: Target table name data: List of rows to insert Returns: Status message indicating success or failure
get_table_structure

Get the structure of a table including columns, data types, and constraints.

Args: ctx: FastMCP context for progress reporting and logging table_name: Name of the table to inspect schema: Schema name (default: public) Returns: Table structure information as a string
list_indexes

List all indexes for a specific table.

Args: ctx: FastMCP context for progress reporting and logging table_name: Name of the table to inspect schema: Schema name (default: public) Returns: Index information as a string
list_views

List all views in a schema.

Args: ctx: FastMCP context for progress reporting and logging schema: Schema name (default: public) Returns: View information as a string

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nolleh/mcp-vertica'

If you have feedback or need assistance with the MCP directory API, please join our Discord server