Nimrod Research

Web research for agents: quality-scored Google search, webpage extraction, and deep research.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "nimrod-research": {
      "url": "https://nimrod.orchis.ai/assets/icon.svg"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Nimrod

Web research your agent can actually use.
Quality-scored Google search, clean webpage extraction, and deep multi-source research for Claude — over the Model Context Protocol.

Website · Docs · Pricing · Portal

What it is

Nimrod gives Claude four research tools:

Tool	What it does	Cost
`google_search`	Organic Google results with quality scores, authority ratings, and source-type classification	1 credit
`extract_webpage_content`	Any URL → clean markdown, boilerplate stripped	free
`extract_multiple_webpages`	Up to 5 URLs, fetched concurrently	free
`research_topic`	Search → rank → dedupe → extract → synthesis, in one call	1 credit + 1 per focus area

Why not just let the model search? Because raw search is where agent runs go to die: Nimrod returns ranked evidence instead of SEO sludge, as token-efficient markdown instead of raw HTML, with deterministic costs (1 credit = 1 search) and date/site/language control.

New accounts start with a free 50-credit trial — no card required.

Get connected

Claude.ai & Claude Desktop (zero install): Settings → Connectors → Add custom connector → paste https://nimrod.orchis.ai/mcp → sign in with your email. Done.

Claude Code (hosted):

Terminal

claude mcp add nimrod --transport http https://nimrod.orchis.ai/mcp \
  --header "Authorization: Bearer nmk_your_key"

Nimrod Desktop (full toolkit — recommended for power users): a locally installed MCP server with six research skills, a deep-research agent, and search-coach hooks (Claude Code features). Extraction is free on every plan; on Desktop it also runs on your own machine, so the pages you read stay private. Grab it from Releases:

Windows — nimrod.mcpb for Claude Desktop (double-click, paste key), or nimrod-desktop.exe for Claude Code: nimrod-desktop setup, then claude mcp add nimrod -- path\to\nimrod-desktop.exe
macOS — nimrod-desktop-macos (universal: Apple Silicon + Intel): chmod +x it, then a one-time xattr -d com.apple.quarantine nimrod-desktop-macos (not yet Apple-signed), then setup and claude mcp add as above
Linux — nimrod-desktop-linux: chmod +x, setup, claude mcp add

In the MCP Registry

Nimrod is listed in the official MCP Registry as ai.orchis/nimrod — MCP clients that browse the registry (including VS Code's MCP gallery) can discover and install it from there.

Built to pair

Run Nimrod beside your other MCP tools — like Konnect for KiCAD: live parts data from your EDA workflow, live web research from Nimrod, one agent, no stale training cutoff.

Support

Docs: nimrod.orchis.ai/docs.html · Email: admin@orchis.ai · Terms · Privacy

_{The original open-source BYOK server this project grew from is preserved
on the historical-oss branch (unmaintained).}

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Frequently Asked Questions about Nimrod Research

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "nimrod-research": { "command": "npx", "args": ["-y", "Nimrod Research"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity9/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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