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Stop Building RAG & Vector Pipelines From Scratch

Katara’s MCP Server Does It For You (With 9 Ready-to-Use Tools)

If you're a developer (especially a prompt-first one) trying to ship agentic applications in 2026, you already know the pain:

  • Ingesting docs / websites / GitHub / Notion is fiddly
  • Chunking + embedding + indexing feels like plumbing
  • Keeping data fresh is manual and error-prone
  • Asking meaningful questions over your content still requires glue code

Most teams waste weeks (sometimes months) on this infrastructure before they can even start building real agents.

Katara changes that equation.

Our MCP-powered server (Model Context Protocol) gives you a managed, production-ready data ingestion + Q&A layer that plugs straight into your IDE workflow (Cursor, Zed, Claude Code, anything ACP-compatible) and lets you focus on agent logic instead of ETL nightmares.

Today we’re opening the hood on the 9 core tools already live in the Katara MCP server and showing you exactly how to use them to go from zero knowledge base → working Q&A in under 10 minutes.

The 9 Tools You Actually Get (No Custom Code Required)

Category Tool What it does (real value)
Agent Mgmt list_agents See every agent running in your org (great for debugging multi-agent setups)
Agent Mgmt get_agent Inspect config, status, memory & last runs of any agent
Ingestion ingest_website One sentence → live website loader + scraper (depth, schedule, filters)
Ingestion list_loader_agents Inventory of all your Website / GitHub / Notion loaders
Ingestion run_loader_agent Manually refresh any loader (re-scrape, re-pull PRs/issues)
Ingestion get_run_status Real-time job status (critical when datasets are large)
Ingestion sync_collection Chunk → embed → index → make everything instantly searchable
Ingestion update_loader_agent Change depth, schedule, enabled/disabled — zero downtime
Q&A ask_question Ask natural-language questions → grounded answers + sources

That's it. Nine commands. Full lifecycle: ingest → refresh → sync → query.

Real Example: Ingest Docs → Ask Questions in ~7 Minutes

You (in chat): Ingest https://docs.myproduct.com

→ Katara shows interactive form (smart defaults filled):
  • URL: https://docs.myproduct.com
  • Name: myproduct-docs
  • Max depth: 2
  • Schedule: daily

You: change depth to 3 → click "Create & Start"

Progress (real-time in UI):
🌐 Starting scrape for myproduct-docs...
📄 Scraping... (5 pages) → (12 pages) → (47 pages)
🔍 Discovering pages...
📝 Extracting content...
✅ Scraping complete! (47 pages)

You: Sync the collection

→ Quick Yes/No confirmation → click Sync

Progress:
⚙️ Starting collection sync...
⚙️ Processing documents...
🧠 Generating embeddings...
📦 Updating index...
✅ Collection synced! Ready for questions.

You: What authentication methods does myproduct support?

→ Katara returns precise answer + clickable sources from your docs

Same flow works for GitHub repos (issues + PRs + code) and Notion workspaces.

Common Workflows That Ship Fast With These Tools

  1. Fresh docs Q&A bot Ingest website → daily schedule → sync on cron → expose ask_question via your agent
  2. Live GitHub knowledge base ingest_website on /docs + run_loader_agent on main repo → developers ask “how do we deploy X?” with up-to-date code + issues
  3. Regulatory / compliance answers grounded in policy docs Ingest Notion policy pages → ask_question with guardrails → audit trail via sources
  4. Quick refresh before demo / customer call “Run the api-docs loader” → “Sync” → instant fresh answers

Why This Matters (Our North Star)

Most agentic products die in the infrastructure swamp not because the agent logic is bad, but because builders spend 60–80% of time on ingestion, chunking, re-indexing, rate-limits, and stale data.

Katara MCP server removes ~80% of that work:

  • Zero server provisioning
  • Built-in progress tracking & error surfacing
  • Interactive forms instead of YAML hell
  • Automatic sync → query-ready in one step
  • Works with Cursor/Zed/any ACP editor → context already in your IDE

Result: You can sign up, ingest your first dataset, and demo a working agentic Q&A experience same day.

Quick Tips From Teams Already Using It

  • Always sync after ingestion, data isn’t queryable until you do
  • Use list_loader_agents before creating new ones (prevents duplicates)
  • Forms remember smart defaults changing depth/schedule takes 5 seconds
  • Watch the emoji progress messages they tell you exactly where you are
  • Need to disable old loaders? Just update → uncheck Enabled

Ready to Skip the Plumbing?

We’re in public beta (limited spots — no credit card to start).

Join the beta

Once you're in:

  1. Connect your IDE (Cursor recommended instant context)
  2. Say “Ingest [your docs URL]”
  3. Sync
  4. Ask real questions
  5. Ship faster

The faster you stop building boring RAG infrastructure, the faster you can build the actual agentic product your customers will pay for.

Let’s get you to your first milestone together.

See you in the beta.

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