Nimrod Research
Web research for agents: quality-scored Google search, webpage extraction, and deep research.
Open source Repository Open in the app JSON README (API)
About
Web research for agents: quality-scored Google search, webpage extraction, and deep research.
Details
- Kind
- MCP servers
- Topic
- Web search, scraping & browser
- Publisher
- ai.orchis
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.1.1
- Stars
- 256
- Forks
- 58
- Last push
- 2026-08-14T12:11:01Z
- Repository state
- ativo
- Added
- 2026-08-29 03:00:12
- Updated
- 2026-08-29 03:00:12
- Origin id
ai.orchis/nimrod
README
<p align="center"> <img src="https://nimrod.orchis.ai/assets/icon.svg" width="96" alt="Nimrod"> </p> <h1 align="center">Nimrod</h1> <p align="center"><b>Web research your agent can actually use.</b><br> Quality-scored Google search, clean webpage extraction, and deep multi-source research for Claude — over the Model Context Protocol.</p> <p align="center"> <a href="https://nimrod.orchis.ai">Website</a> · <a href="https://nimrod.orchis.ai/docs.html">Docs</a> · <a href="https://nimrod.orchis.ai/#pricing">Pricing</a> · <a href="https://nimrod.orchis.ai/portal">Portal</a> </p> --- ## 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):** ```bash 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**](../../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](https://registry.modelcontextprotocol.io) 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](https://github.com/mixelpixx/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](https://nimrod.orchis.ai/docs.html) · Email: [admin@orchis.ai](mailto:admin@orchis.ai) · [Terms](https://nimrod.orchis.ai/terms.html) · [Privacy](https://nimrod.orchis.ai/privacy.html) --- <sub>The original open-source BYOK server this project grew from is preserved on the <code>historical-oss</code> branch (unmaintained).</sub>