# Kestral

> Kestral is the AI-driven coordination layer for product teams. It keeps docs, tasks, and AI agents in sync so teams ship faster without AI slop.

## Overview

Kestral connects your existing tools (Slack, Notion, Linear, Jira, Google Drive, Gong, Zendesk, GitHub, and more) into a unified knowledge base — Project Brain — that both humans and AI agents can query in real time via MCP (Model Context Protocol).

## Key Pages

- [Homepage](https://kestral.ai/): Product overview and Project Brain — AI-powered knowledge layer for docs, tasks, and agents
- [Blog](https://kestral.ai/blog): Insights on AI-powered product development, team coordination, and shipping faster with AI agents
- [Trust Center](https://trust.kestral.ai/): Security practices, SOC 2 compliance, data handling policies

## What Kestral Does

1. **Understand**: Collects, queries, and analyzes customer insights across all company data sources
2. **Synthesize**: Connects themes, identifies contradictions, and surfaces patterns across sources into Project Brain
3. **Prioritize**: AI-driven task prioritization based on customer impact, revenue potential, strategic alignment, and implementation effort
4. **Coordinate**: Keeps AI coding agents (Cursor, Claude Code, Codex) aligned with product context via MCP

## Integrations

Linear, Notion, Slack, Google Drive, Google Calendar, Stripe, GitHub, Zendesk, Gong, Granola, Cursor, Devin, Jira, Confluence, Zoho

## MCP (Model Context Protocol)

Kestral exposes workspace context to AI agents through MCP. AI coding agents in Cursor, Claude Code, and other MCP-compatible tools can access Project Brain directly — querying tasks, documents, and synthesized knowledge without switching tools.

## Contact

- Website: https://kestral.ai
- Demo: https://cal.com/kestral/30min
- Support: hello@kestral.ai
- Sign up: https://app.kestral.ai/signup