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MCP Server — quantiio/mcp

MCP server to query your data warehouse (BigQuery, Snowflake, Redshift, Azure Synapse) with natural language. Connect Claude, ChatGPT, Copilot or

Local serverstdio

What is the MCP Server?

MCP server to query your data warehouse (BigQuery, Snowflake, Redshift, Azure Synapse) with natural language. Connect Claude, ChatGPT, Copilot or Gemini to your

What the server does

  • Natural Language to SQL — Ask questions in plain language, get SQL queries executed on your data warehouse
  • Multi-platform Support — Works with BigQuery, Snowflake, Redshift, and Azure Synapse
  • AI Assistant Compatible — Connect to Claude, ChatGPT, Gemini, Le Chat, or Copilot
  • Schema Discovery — Automatic schema detection and context building via RAG
  • Use Case Library — Save and reuse your favorite analyses
  • Secure — OAuth 2.0 authentication, read-only queries, per-project access control

Credentials and setup notes

  • Quanti account with access to at least one project - Data warehouse with indexed schema (BigQuery, Snowflake, Redshift, or Azure Synapse) - AI assistant with MCP support (ChatGPT, Claude, Gemini, Le Chat, Copilot)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
list_projectsList your accessible Quanti projects
get_project_contextGet project context (connectors, datasets, date ranges)
get_schema_contextBuild schema context for your question using RAG
execute_queryExecute read-only SQL queries on your data warehouse
get_use_casesSearch for relevant use case templates
list_my_use_casesList your personal saved analyses
list_project_use_casesList team shared analyses
create_use_caseSave an analysis for reuse
update_use_caseUpdate an existing use case
delete_use_caseDelete a use case
collect_feedbackProvide feedback on query results

Configuration

  • Quanti account with access to at least one project - Data warehouse with indexed schema (BigQuery, Snowflake, Redshift, or Azure Synapse) - AI assistant with MCP support (ChatGPT, Claude, Gemini, Le Chat, Copilot)

Example prompts to try

  • “Use MCP to list projects.”
  • “Use MCP to get project context.”
  • “Use MCP to get schema context.”

Frequently asked questions

MCP server to query your data warehouse (BigQuery, Snowflake, Redshift, Azure Synapse) with natural language. Connect Claude, ChatGPT, Copilot or Gemini to your Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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