Analyst Agent MCP Server
Analyst Agent MCP Server

Loved by teams that deliver better, faster insights
Get buried in ad hoc requests
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.
Get answers to ad hoc questions right where you work
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.
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.
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.



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.

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.

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.

An AI data analyst that understands your business
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.

Start building dashboards and workflows in minutes
Start building an internal tool or customer portal in under 10 minutes
Frequently Asked Questions
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.
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.
You can connect to Fabi's MCP server with a token or OAuth.
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.
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.


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