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 get start talking to your data in minutes.
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 with Fabi's plug-and-play MCP server. No need to switch context. An MCP server for self-service analytics that just works on day one.

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.

Bring Analyst Agent to your favorite chat

Handle ad hoc requests by bringing Analyst Agent right to where you and your team work with Fabi's plug-and-play MCP server. No need to switch context. An MCP server for self-service analytics that just works on day one.

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.

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.
Seamless integration to tools you love
Connect with Google Sheets, Slack for frictionless insight delivery.
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.

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
Try Fabi.ai today

Start building dashboards and workflows in minutes

Start building an internal tool or customer portal in under 10 minutes

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 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 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 ot Fabi's MCP server with a token to OAuth.

What can the Fabi MCP server do?

Many things! Namely, it can work with our Analyst Agent to perform ad hoc and exploratory data analysis on all your data by generating SQL or Python behind the scenes.

Can I manage and configure the AI responses?

Yes! When you connect your data in Fabi, you can provide context to the AI 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.