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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.

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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
Coming Soon

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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
Coming Soon

Federated Queries

Join data across different database systems
Coming Soon

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How It Works

1

Ask Questions

Ask camelAI questions about your connected data sources in natural language
2

Get Structured Results

The MCP server returns clear answers, SQL queries, and structured data results
3

Create Custom Analysis

LLMs can use this structured data to create custom visualizations and deeper analysis

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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

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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
Coming Soon