Quanti: connectors MCP
Unify your marketing team around one AI-powered source of truth. Quanti connects your marketing data to your warehouse. Execute SQL queries on BigQuery, explore table schemas, discover pre-built use cases, and analyze performance across Google Analytics, Google Ads, Meta Ads, TikTok, affiliate networks and more. all through natural conversation
Quanti 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 marketing data and get instant SQL insights.
Features
- 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
Quick Start
Server URL
https://ai.quanti.io/mcp
Setup Guides
- ChatGPT Setup
- Claude Desktop Setup
- Google Gemini Setup
- Mistral Le Chat Setup
- Microsoft Copilot Setup
Available Tools
| Tool | Description |
|---|---|
list_projects | List your accessible Quanti projects |
get_project_context | Get project context (connectors, datasets, date ranges) |
get_schema_context | Build schema context for your question using RAG |
execute_query | Execute read-only SQL queries on your data warehouse |
get_use_cases | Search for relevant use case templates |
list_my_use_cases | List your personal saved analyses |
list_project_use_cases | List team shared analyses |
create_use_case | Save an analysis for reuse |
update_use_case | Update an existing use case |
delete_use_case | Delete a use case |
collect_feedback | Provide feedback on query results |
How It Works
- Connect your AI assistant to the Quanti MCP server
- Authenticate with your Quanti account via OAuth 2.0
- Ask questions in natural language about your marketing data
- The server builds context from your data warehouse schema
- Your AI assistant generates and executes SQL queries
- Get insights with formatted results
Example Queries
What are my top 10 campaigns by conversions this month?
Show me the daily spend trend for Google Ads over the last 30 days
Compare performance between Meta and Google Ads campaigns
Supported Data Sources
Quanti connects to 50+ marketing data sources including:
- Advertising: Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads
- Analytics: Google Analytics 4, Adobe Analytics
- CRM: Salesforce, HubSpot
- E-commerce: Shopify, WooCommerce
- And many more...
Requirements
- 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)
MCP Protocol
This server implements the Model Context Protocol (MCP) specification:
- Protocol Version: 2024-11-05
- Transport: HTTP with SSE (Server-Sent Events)
- Authentication: OAuth 2.0 with dynamic discovery
Support
- Documentation: docs.quanti.io
- Email: [email protected]
- Website: quanti.io
License
MIT License - see LICENSE for details.
Made with ❤️ by Quanti
相关服务器
SupaMCP Server
A runtime-configurable MCP server that turns a Supabase project into an AI-compatible tool interface.
Metabase Server
Integrates with Metabase for data visualization and business intelligence. Requires METABASE_URL, METABASE_USERNAME, and METABASE_PASSWORD environment variables.
CData Adobe Analytics
A read-only MCP server to query live Adobe Analytics data. Requires the CData JDBC Driver for Adobe Analytics.
NocoDB MCP Server
An MCP server for NocoDB, the open-source Airtable alternative. It allows interaction with your NocoDB instance via API.
KnowledgeGraph MCP Server
Enables persistent knowledge storage for Claude using a knowledge graph with multiple database backends like PostgreSQL and SQLite.
Elasticsearch
Connect to and interact with an Elasticsearch cluster directly from any MCP client using environment variables for configuration.
JDBC-MCP
Enables AI assistants to interact with various databases through JDBC connections.
Vestige MCP
Provides comprehensive DeFi analytics and data for the Algorand ecosystem through the Vestige API.
MCP Postgres Query Server
An MCP server for querying a PostgreSQL database in read-only mode.
Simple Memory MCP
A memory management system for AI assistants to store, retrieve, and manage user information using a local database.