Introduction
Bring camelAI business intelligence directly into your preferred AI environment with MCP integration.
camelAI MCP Server
Overview
The camelAI MCP (Model Context Protocol) server brings our AI business intelligence capabilities directly into your preferred AI environment. Instead of switching between tabs, access your data analysis through Claude, Cursor, or any MCP-compatible interface.
Why MCP?
MCP enables camelAI to:
Work in Your Preferred Environment
Use camelAI directly in Claude or Cursor without opening our web app
Enable Developer Integrations
MCP servers are becoming the preferred integration method for AI tools, with growing support across open source chat frontends
What You Get
Deep Research Agent
Natural language to SQL with transparent query results
Database Connectivity
Postgres, MySQL, ClickHouse, Snowflake, BigQuery, and more
Raw Data Access
Get SQL queries and structured results that Claude can transform into visualizations
Instant Visualizations
Interactive Plotly charts with written analysis
Federated Queries
Join data across different database systems
How It Works
Ask Questions
Ask camelAI questions about your connected data sources in natural language
Get Structured Results
The MCP server returns clear answers, SQL queries, and structured data results
Create Custom Analysis
LLMs can use this structured data to create custom visualizations and deeper analysis
What the MCP Server Returns
Answer
Clear, concise response to your question
Artifacts
SQL queries and structured data results
Transparency
Full visibility into the analysis process
Use Cases
Perfect for:
Founders
Quick data insights without SQL knowledge
Product Teams
Tracking metrics without dedicated analysts
CTOs
Reducing data request bottlenecks
Developers
Integrating BI capabilities into applications