Analyst Agent MCP Server

Analyst Agent MCP Server

Handle ad hoc requests and automated workflows with an AI data analysis MCP server that understands your business. Connect your data, and start talking to your data in minutes.
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Analyst Agent MCP Server

Loved by teams that deliver better, faster insights

The old way

Get buried in ad hoc requests

The new way

Talk to your data from anywhere

Constantly fielding ad hoc requests from every team.

Hoping stakeholders know which dashboards to go to.

Spend months building a text-to-SQL bot.

Let an AI data analyst that understands your business and data be the first line of defense.

Meet the team right where they work: Slack, Claude, ChatGPT, email.

Connect Fabi to your data and immediately get accurate results.

Use Cases

Get answers to ad hoc questions right where you work

Bring Analyst Agent to your favorite chat

Handle ad hoc requests by bringing Analyst Agent right to where you and your team work. Simply install Fabi in Slack or add it to your LLM of choice with Fabi's plug-and-play MCP server. No more context switching, insights come to you.

Effortlessly integrate into your workflows

Integrate an AI analyst agent that can talk to your data and understands your business into your workflows. Fabi's handle the data source connectivity, data semantics and business context for maximum accuracy.

Complete governance and control

Stay in complete control at all times. Configure field and table access and provide additional context and semantics as needed or let the AI auto-learn. All in plain English, no PhD in data engineering required.

Bring Analyst Agent to your favorite chat

Handle ad hoc requests by bringing Analyst Agent right to where you and your team work. Simply install Fabi in Slack or add it to your LLM of choice with Fabi's plug-and-play MCP server. No more context switching, insights come to you.

Effortlessly integrate into your workflows

Integrate an AI analyst agent that can talk to your data and understands your business into your workflows. Fabi's handle the data source connectivity, data semantics and business context for maximum accuracy.

Complete governance and control

Stay in complete control at all times. Configure field and table access and provide additional context and semantics as needed or let the AI auto-learn. All in plain English, no PhD in data engineering required.

Features

An AI data analyst that understands your business

Data warehouse connectors
Seamlessly integrate with Snowflake, Redshift, and BigQuery. Connect to all your data, no matter where it lives.
Multi-step validation
Thanks to custom tools, agents can validate their own work and check for edge cases & data quality issues with transparent access to underlying code before answering.
Universal data connectivity
Connect to any data source and merge multiple sources in memory - from spreadsheets to data warehouses.
SQL & Python AI code generation
Leverage context-aware AI for fast, accurate SQL and Python code generation.
Granular access control
Control exactly what data users can access by deploying AI agents that only work with approved datasets.
AI data visualization
Generate beautiful, interactive, custom visualizations in seconds.

Fabi.ai is transforming the way insights are gathered and consumed in the enterprise. Any company not using Fabi.ai is choosing to operate at a disadvantage.

Somrat Niyogi
Somrat Niyogi
Founder - Recall Capital
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RisingWave
ClickHouse
Airtable
Google Slides
MySQL
PostgreSQL
Gmail
BigQuery
Amazon Redshift
Googles Sheets
Slack
GitHub
dbt Labs
MotherDuck
Snowflake
ClickHouse
Databricks
Bitbucket
Microsoft Teams

Frequently Asked Questions

What can the Fabi MCP server do?

Fabi.ai MCP server allows you to integrate Fabi’s AI data analysis capabilities directly into your development workflow or your client/interface of choice. The MCP server enables AI assistants and development tools to interact with Fabi.ai by creating threads, submitting chat requests, and programmatically saving Smartbooks. The Fabi MCP server is the fastest way to implement an AI assistant that can chat directly with your data.

What are the most common use cases for Fabi's MCP server?

Fabi's MCP server is typically used by data, product and engineering teams to power text-to-SQL functionality to help handle ad hoc analysis requests by letting the broader team explore data on their own. It's typically connected to a Slackbot, Claude or other workflow automation tools like n8n, AgentKit and Make.

What authentication methods are supported?

You can connect to Fabi's MCP server with a token or OAuth.

Can I manage and configure the AI responses?

Yes! When you connect your data in Fabi, you can provide context to the AI chat to help guide it and ensure that the answers it provides are always accurate. All results returned by our Analyst Agent are also fully traceable and verifiable by inspecting the underlying queries and code.

Can I control what data the AI can access through Fabi MCP?

Yes, you can control data access with Fabi's MCP server. Fabi handles the data source connectivity and lets you provide additional context and semantics to guide the AI, ensuring answers stay within your defined data boundaries. You can configure field and table access permissions and deploy AI agents that only work with approved datasets. This means you define exactly which data sources, tables, and fields the AI can query through the MCP connection.