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Kapa.ai

Production AI assistant trained on your technical documentation, with MCP server support and SOC 2 Type II compliance — used by OpenAI, Reddit, monday.com, Mapbox, and 200+ others.

Starting atContact for pricing
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In Plain English

Production AI assistant trained on your technical documentation, with MCP server support and SOC 2 Type II compliance — used by OpenAI, Reddit, monday.com, Mapbox, and 200+ others.

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Overview

Kapa.ai builds the 'ask the docs' chatbot for developer-facing products. You point it at your documentation, GitHub repos, Stack Overflow, Discord/Slack history, Intercom transcripts, and release notes, and it produces a grounded RAG assistant your users can query from your docs site, your in-app help widget, your Slack/Discord community, or directly through an API. The pitch is reliability: Kapa publishes the percentage of questions it can confidently answer, gives you a dashboard of what users asked and where the docs failed them (gap analysis), and is SOC 2 Type II certified — the reasons OpenAI, Reddit, Mapbox, monday.com, Logitech, and many developer-tools companies have chosen it over rolling their own. Kapa supports the Model Context Protocol: you can expose your Kapa instance as an MCP server so an agent in Claude Desktop, Cursor, or any MCP-aware client can pull authoritative product knowledge directly into a session. Pricing is tiered by usage and features — Team for small docs, Pro for production, Enterprise for SSO, custom contracts, and dedicated support. There is no free public tier; book a demo for trial access.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Team

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    Pro

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      Enterprise

      Custom

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        Best Use Cases

        🎯

        Developer-tools companies reducing support load

        ⚡

        Product teams discovering documentation gaps

        🔧

        Embedding accurate AI help in technical SaaS

        🚀

        Exposing product knowledge as an MCP tool

        Pros & Cons

        ✓ Pros

        • ✓Reference customers (OpenAI, Reddit, Mapbox, monday.com) demonstrate it scales for serious dev products
        • ✓SOC 2 Type II posture clears most enterprise procurement gates without extra security review
        • ✓MCP server is a genuine differentiator — your docs become a tool inside customer AI IDEs

        ✗ Cons

        • ✗No free public tier; trial access requires a sales demo
        • ✗Pricing is not publicly itemized, making budget modeling harder than self-built RAG
        • ✗Built around technical documentation — less ideal for general consumer support content

        Frequently Asked Questions

        How much does Kapa.ai cost?+

        Kapa.ai pricing starts at Contact for pricing. They offer 3 pricing tiers.
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        Quick Info

        Category

        AI Customer Support

        Website

        www.kapa.ai
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