New

Run Kapa from Claude, Cursor and Codex with Kapa MCP

Introducing Kapa MCP

Y

Backed by Y Combinator

G2

4.9

★★★★★

Turn your company’s knowledge into AI agents

Turn your company’s
knowledge into AI agents

Turn your company’s knowledge into AI agents

Connect docs, tickets, wikis and 30+ other sources, then launch accurate agents your users and colleagues can trust. Or replace your retrieval stack with Kapa.

Connect docs, tickets, wikis and 30+ other sources, then launch accurate agents your users and colleagues can trust. Or replace your retrieval stack with Kapa.

Connect docs, tickets, wikis and 30+ other sources, then launch accurate agents your users and colleagues can trust. Or replace your retrieval stack with Kapa.

Get started for free

No credit card required

SOC 2 Type II

Trusted by OpenAI, Logitech, monday.com and hundreds more

Trusted by OpenAI, Logitech, monday.com and hundreds more

instead of building retrieval themselves

Why teams switch to Kapa

Get started for free

Fewer AI tools, more accurate answers and nothing to maintain.

Instead ofWith KapaNow on Kapa
A separate AI tool per team
Mintlify AIGleanDIY agents
One engine for every agent
Same answer in docs, support, Slack and MCP
Nordic SemiconductorNokiaReddit
Your helpdesk’s AI add-on
Fin by IntercomZendesk AIAgentforce
Higher resolution rates
Resolves the harder questions other bots miss
LogitechTailscaleSilicon Labs
Self-built RAG pipelines
DIY RAGPineconeCloud AI search
Nothing to build or maintain
Managed ingestion and retrieval, kept in sync
Netlifymonday.comCamunda
Port
“Kapa started as an agent on our docs. Now it’s the interface layer between our product and everyone.”
Matan Grady, Product Director

Retrieval for the agents you build

Read the retrieval docs

Connect your sources once. Any agent can search them over MCP or the API.

cURLPythonMCP
POST
curl https://api.kapa.ai/query/v1/
projects/$ID/retrieval/ \
-H "X-API-KEY: $KAPA_API_KEY" \
-d '{"query": "rotate API keys"}'
200 OK · 3 chunks · source_url, content
Retrieval API and MCP server
Query from any agent over HTTP or MCP.
KapaGPT-6.1 + grep
Retrieval score0.65 vs 0.61
Latency5.1s vs 16.8s
Tokens returned5.1k vs 40.8k
State-of-the-art accuracy
#1 on Company Knowledge Bench
SourcesAuto-sync
X200 service manual.pdf214 pages · scanned tablesParsed
Zendesk tickets48,210 ticketsSynced 2m ago
Engineering wiki1,932 pagesSynced 1h ago
acme/sdkREADME.md changedSyncing
Handles the messiest sources
Parsed, crawled and kept in sync automatically.
Mastra
“Kapa lets us focus on building agents, not maintaining retrieval infrastructure.”
Sam Bhagwat, CEO

Pre-built agents for docs, support and community

Explore integrations

No agent to build. Pick where it runs and connect your sources.

Website widget
Ask AI on your docs and website.
Ask AI
How do I rotate keys?
SecurityAPI keys
Deploy: Script tag
Public MCP server
Your docs in your users' coding agents.
a user's Claude Code
> Add Acme webhooks to my app
⏺ search_acme_knowledge_sources
3 chunks from docs.acme.com
⏺ Edited src/webhooks.ts
Deploy: One URL
Support form deflector
Answers before a ticket is filed.
Contact support
Webhook retries fail after key rotation
Suggested answer
Still need help?Submit ticket
Deploy: Embed on your form
Slack and Discord bots
Answers in team and community channels.
M
Maya
Which target board for 2026 X200s?
k
Kapa
X200 manual#field-eng
Deploy: Install the app
Zendesk agent
Drafts replies from solved tickets.
Ticket #48291
Draft reply
From 2 solved tickets
Insert
Deploy: Zendesk app
Brand, tone and guardrails
Voice, colors and topics to avoid.
Hand off to support
Hands off to your team when it cannot help.
Analytics and coverage gaps
See what people ask and where docs fall short.
Logitech
“Other vendors scored around 60% on accuracy. Kapa was over 99%.”
Andy Vayo, Head of Enterprise Support

What teams get back with Kapa

View case studies

Rated 4.9/5 on G2

monday.com scaled its in-product agent to 100,000+ customers
98%
ticket deflection
125k+
queries answered
5+
use cases live
Read story
Nokia runs Kapa agents across seven networking product lines
300k+
queries answered
125+
sources integrated
4+
deployments live
Read story
Raspberry Pi helps 88% of docs users self-serve
88%
self-serve rate
18k+
queries answered
6 wks
from A/B test to live
Read story
Nordic Semiconductor runs docs, support and MCP on one platform
−83%
query token cost
700k+
queries answered
4+
use cases live
Read story

Enterprise-grade security and controls

Talk to us

Zero data retention & PII masking

Limit data retention and mask PII.

SOC 2

SOC 2 & GDPR

Independently audited controls.

SSO & RBAC

Single sign-on and role-based access.

EU/US

Data regions

US and EU hosting.

Accurate context for your agents

Connect your sources and get an API key or a hosted MCP server.

Get started

Frequently asked questions

What is Kapa?

−

Kapa is an ingestion and retrieval system for your unstructured knowledge. Ingestion assembles a unified knowledge base from 50+ sources, including documentation sites, PDFs, tickets, community threads and API specifications, and keeps it up to date as that content changes. Agentic retrieval searches across it to find what the agent needs, the moment it needs it. You hand Kapa to your agent as a search tool via MCP, or call it directly through the API. And for the cases where you do not want to build an agent at all, Kapa offers Prebuilt Agents for common use cases, out of the box.

What can I build with Kapa?

+

Why do agents need retrieval? Can’t I just put my docs in the context window?

+

How is this different from building retrieval in-house?

+

When would I use a web search API like Exa or Tavily instead?

+

Which knowledge sources can Kapa ingest?

+

How does Kapa keep the knowledge base up to date?

+

Does it work with my agent framework and model?

+

I just want a documentation assistant. Do I have to build an agent?

+

Is my data secure? Is it used for training?

+

How does pricing work?

+

Can Kapa run on-prem or in our own VPC?

+

Pricing

Docs

Get started

Book a demo

Get started

Get started