Web research your agent can actually use.

Nimrod is a hosted MCP server for Claude: quality-scored Google search, clean webpage extraction, and deep multi-source research. One URL to add, one key, one predictable bill — no scraping stack to babysit.

Why not just let Claude google it?

Because raw search is where agent runs go to die. Nimrod exists to keep your model reasoning instead of wading.

01

Ranked evidence, not SEO sludge

Every result is scored for quality, rated for authority, and classified by source type — code, docs, news, forum, web — before your model spends a single token on it. Claude reasons over ranked evidence instead of guessing which of ten blue links is content-farm filler.

02

Token-efficient by design

Pages arrive as boilerplate-stripped markdown — no nav bars, cookie banners, or 90 KB of markup soup. A fraction of the tokens of raw HTML means cheaper turns, faster answers, and more context left for actual thinking.

03

A real research pipeline

research_topic runs search → rank → dedupe → extract → synthesis in one metered call. What normally takes a dozen improvised tool hops — each one a chance for the agent to wander — becomes a single structured step.

04

Deterministic and controllable

Site, date, and language filters. One credit = one search, extraction always free — costs you can predict before the run starts. Works in every MCP client: Claude Code, Claude Desktop, claude.ai.

Four tools, one endpoint

Everything speaks the Model Context Protocol — current spec (2026-07-28) with full backward compatibility.

google_search

Organic Google results with quality scores, authority ratings, and source-type classification. Site, language, date, and vertical filters.

1 credit

extract_webpage_content

Any URL to clean markdown, text, or HTML — boilerplate stripped, summary included.

free

extract_multiple_webpages

Up to five URLs fetched and summarized concurrently for fast source scanning.

free

research_topic

Searches, ranks, deduplicates, and extracts sources, then hands Claude a structured synthesis prompt. Three depth levels.

1 credit / search

Pricing

One credit is one Google search. Extraction is free on every plan. Checkout by Polar, merchant of record.
Every plan is limited to 30 requests per minute. Nimrod is a research tool, not a scraping stack — the cap is deliberate and applies across the board.

Free trial

$0 to start
  • 50 credits, yours at signup
  • Valid 30 days — no renewal
  • API key issued instantly
  • All four tools
  • No card required
Start free

Credit packs

$10+ one-time
  • Valid 6 months from purchase
  • 30 requests per minute
  • Drawn after any monthly credits

Connect Claude

Three ways in — all live today.

Claude Code
One command with your API key.
claude mcp add nimrod \
  --transport http \
  https://nimrod.orchis.ai/mcp \
  --header "Authorization: Bearer nmk_…"
claude.ai & Claude Desktop
Custom connector — no key handling at all.
  1. Settings → Connectors → Add custom connector
  2. Paste https://nimrod.orchis.ai/mcp
  3. Sign in with your email — done
Nimrod Desktop full toolkit
Six research skills, a deep-research agent, search-coach hooks, and free local extraction — why it's worth the download.
  1. Claude Desktop (Windows): download nimrod.mcpb, double-click, paste your key
  2. Claude Code: download for Windows · macOS · Linux, run nimrod-desktop setup, then
    claude mcp add nimrod -- path/to/nimrod-desktop
  3. Skills auto-install on first run

Don't just hit the endpoint — install the toolkit

The hosted connector gives Claude four good tools. Nimrod Desktop turns them into a research practice: skills, an agent, and hooks that shape how Claude researches — running on your machine, on the same key and the same credits.

Six research skills auto-installed

One-command workflows Claude already knows how to run: /deep-research, /fact-check, /find-docs, /news-monitor, /competitive-analysis, /cite-sources. Each encodes a full search-extract-verify method — not just a prompt.

A deep-research agent auto-installed

Multi-source research runs in its own isolated context: the agent searches, extracts, cross-checks, and returns a cited brief — instead of flooding your conversation with raw page dumps.

Search-coach hooks auto-installed

Before every metered call, Claude automatically gets query-crafting guidance: exact phrases, site and date filters, when one research_topic beats five searches. Your credits go further without you thinking about it.

Skills, the agent, and hooks are Claude Code features (they install into your ~/.claude setup). The four research tools themselves work in every client, including Claude Desktop via nimrod.mcpb.

Hosted connectorNimrod Desktop
Works on claude.ai, mobile, anywhere Claude Code & Claude Desktop
Quality-scored Google search same credits
Webpage extraction free, runs on our server free, runs on your machine — the pages you read never transit our servers
Research synthesis assembled locally
Six research skills
Deep-research agent
Search-coach hooks
Extra cost none none — one download, same key

Download: nimrod.mcpb for Claude Desktop (Windows) · Windows · macOS · Linux for Claude Code. Skills, agent, and hooks install themselves on first run and remove cleanly with nimrod-desktop uninstall.

Built to pair

Nimrod is the research half of a live-data toolkit. Run it beside your other MCP tools and your agent stops relying on a stale training cutoff.

Nimrod + Konnect (KiCAD)

Design hardware with an agent that checks reality: Konnect drives your schematics and PCBs while Nimrod pulls current parts availability, datasheets, errata, and app notes from the live web — no guessing from year-old training data.

Nimrod + your stack

Coding agents verify library versions and breaking changes before refactors. Analyst agents cite today's filings, not last year's. Any MCP-capable tool that acts on the world pairs with a research tool that can see it.

Questions

Why install Nimrod Desktop instead of just using the connector?

The connector is the fastest way in and all you can use on claude.ai and mobile. The desktop install adds everything that can't live behind an endpoint: six research skills, a deep-research agent, and search-coach hooks install into your Claude setup, and webpage extraction runs on your machine — free, faster, and private, since the pages you read never pass through our servers. Same key, same credits, no extra cost. Full comparison above.

What exactly is a credit?

One credit is one Google search executed on your behalf. Webpage extraction is free because it doesn't cost us search inventory — we only meter what costs money to serve. research_topic charges one credit per underlying search it runs: 1 for the main topic plus 1 per focus area you add. Its depth setting changes how many sources are read, which is free — depth never costs extra credits.

Why is my API key only shown once?

We store a cryptographic hash of your key, never the key itself — so a database breach can't leak working credentials. The flip side: we can't show it again. If you lose it, rotate in the portal: the old key dies, a new one is issued and shown once.

Can I use Nimrod for scraping?

No — and the limits make that structural: every plan, free through the largest pack, is capped at 30 requests per minute. Nimrod is built for research agents that read a handful of good sources per question, not for bulk harvesting. If you need firehose-scale data collection, we're honestly not the right tool.

Do credits expire?

Free-trial credits are valid for 30 days from signup (one-time, no renewal). Monthly plan credits reset each calendar month. Purchased pack credits are valid for 6 months from purchase and are drawn only after any monthly allowance — so nothing you paid for is wasted while a subscription is active.

Who handles my payment?

Polar is the merchant of record: they process the card, handle VAT/sales tax globally, and manage refunds. We never see your payment details.

What do you do with my searches?

We keep per-call metering records (tool, credits, latency) to run the service and show you your own usage. We don't sell usage data, and extraction requests fetch pages directly — no third-party analytics in the path. Details in the privacy policy.

Which MCP spec does the server speak?

The current revision (2026-07-28, stateless) with automatic backward compatibility for older clients — Claude Code, Claude Desktop, and claude.ai all connect with no configuration.