AI in Feith · Integration

Your AI tools, connected to your records.

Feith MCP exposes the platform to the AI tools your team already uses (Claude, GitHub Copilot, OpenAI products, and your own in-house agents) over Model Context Protocol, the open standard for AI-tool integration. Each one authenticates as the user and queries your governed content directly.

Request a walkthrough All six capabilities ›

1 Open standardSpeaks Model Context Protocol natively, built in at the core

0 Records copied outYour AI queries Feith in place; nothing leaves your boundary

1 Permission model, inheritedThe tool authenticates as the user, and sees only what they can

Every Call written to the logEach request your AI makes is recorded in the audit trail

The problem

Your AI works everywhere except your records.

Your team already works in Claude, Copilot, and GPT every day. But those tools live outside Feith, so the records that matter most are the one thing they can't see, and the usual workarounds quietly break the governance you built.

Your AI lives outside Feith

The assistants your team relies on can't reach your governed content, so they help with everything except the records that matter.

Copy-paste breaks governance

The workaround is pasting records into a chat box, where sensitive content sits ungoverned, unlogged, and outside your permissions.

One-off connectors don't last

Hand-building a custom integration for each AI tool is brittle, and it breaks the moment the tool (or the model behind it) changes.

The records need to reach the AI your team already uses, without leaving your boundary, your permissions, or your audit log. There's now an open standard for exactly that.

What it does

The one capability that points outbound.

Where the other five capabilities bring AI into Feith, Feith MCP sends Feith out to wherever your AI already lives. The external tool authenticates as the user and inherits the same permission model, so it sees exactly what that user is authorized to see, and every call is written to the audit log.

Speaks the industry standard: MCP is how modern AI assistants connect to external content, and Feith implements it natively, not bolted on.
Inherits your permission model: the tool authenticates as the user and sees exactly what that user is authorized to see, nothing more.
Queries across systems: your AI can pull Feith content alongside its other connected sources and combine them in one answer.
Points outbound: the other five capabilities bring AI into Feith; this one sends Feith out to where your AI lives.

Model Context Protocol is an open standard for connecting AI assistants to external content. Feith MCP is Feith's native implementation of it.

How it works

Your AI tool

Claude · Copilot · GPT · in-house agents

Wherever your AI already lives: no rebuild, no data copied out.

Feith MCP Model Context Protocol

Speaks the open standard MCP · native

The industry standard for AI-tool integration, implemented natively, not bolted on.

Authenticates as the user

Inherits the same permission model: the tool sees exactly what that user is authorized to see.

Queries across systems

Feith content alongside the tool's other connected sources, combined in one answer.

Your governed content

Feith Content Platform

Permission-filtered records returned with citations, and every call written to the audit log.

permission-inherited every call logged

How it works

Your AI asks. Feith answers, under your governance.

The connection runs over MCP. Your tool authenticates as the user, Feith returns only the records that user is allowed to see, and every request is written to the audit log, so outbound access is as accountable as everything else in the platform.

Your AI tool sends a request

Feith MCP

Authenticates as the user

Your permission model & audit log

Permission-filtered records returned, with citations

Every call written to the audit log

Why it's different

Bring your own AI

Connect the assistants your team already uses: Claude, Copilot, GPT, or in-house agents. No rebuild, and no new tool to learn.

Governed like a Feith user

The tool inherits the same permissions as the person using it, so it can never reach a record they couldn't open themselves.

Every call on the record

Each request your AI makes is written to the audit log, so outbound access is as accountable as everything else in Feith.

In practice

Wherever your AI already lives.

One protocol, every assistant. Connect the tools your team works in today; each one queries Feith under the same governance.

Claude Desktop

Native MCP connector

Permission-filtered records, returned with citations.

GitHub Copilot

MCP server endpoint

Feith content pulled in alongside code context.

OpenAI products

MCP integration

Governed answers inside the chat your team already uses.

In-house agents

Permissioned API

Multi-source orchestration across your connected systems.

The rest of the set

Five more capabilities, one boundary.

Every capability shares the same permission model, the same audit trail, and your choice of large language model.

Back to AI in Feith ›

Get started

Bring your own AI. Govern it like a Feith user.

Tell us which AI tools your team already uses. We'll connect them to a sample of your governed content over MCP and show the permission filtering and audit log in action.