About Nimrod
Nimrod is an MCP server giving Claude web research tools, including quality-scored Google search, clean webpage extraction and multi-source topic research. It returns ranked evidence and token-efficient Markdown instead of raw search results and HTML.
Key features
- 01Quality-scored Google search results
- 02Webpage extraction to clean Markdown
- 03Concurrent extraction of up to 5 URLs
- 04Single-call search, ranking, deduplication and synthesis
- 05Date, site and language filtering
Use cases
- 01Gathering web sources for Claude with quality assessment
- 02Reading several web pages in batch as Markdown
- 03Running multi-source research on a single topic
MCP support
Nimrod exposes google_search, extract_webpage_content, extract_multiple_webpages and research_topic as MCP tools for clients such as Claude.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://nimrod.orchis.ai/mcpclaude mcp add --transport http ai-orchis-nimrod https://nimrod.orchis.ai/mcp{"mcpServers":{"ai-orchis-nimrod":{"type":"http","url":"https://nimrod.orchis.ai/mcp"}}}Open in Cursor{"servers":{"ai-orchis-nimrod":{"type":"http","url":"https://nimrod.orchis.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-orchis-nimrod":{"type":"http","url":"https://nimrod.orchis.ai/mcp"}}}{"mcpServers":{"ai-orchis-nimrod":{"serverUrl":"https://nimrod.orchis.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
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):
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.mcpbfor Claude Desktop (double-click, paste key), ornimrod-desktop.exefor Claude Code:nimrod-desktop setup, thenclaude mcp add nimrod -- path\to\nimrod-desktop.exe - macOS —
nimrod-desktop-macos(universal: Apple Silicon + Intel):chmod +xit, then a one-timexattr -d com.apple.quarantine nimrod-desktop-macos(not yet Apple-signed), thensetupandclaude mcp addas 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: [email protected] · Terms · Privacy
The original open-source BYOK server this project grew from is preserved
on the historical-oss branch (unmaintained).
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.