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Web grounding for local & cloud LLMs: search, fetch, token-capped evidence packs, and research.
About
Web grounding for local & cloud LLMs: search, fetch, token-capped evidence packs, and research.
Security Report
Grounder is a well-designed MCP server that acts as a thin client for a hosted web search/retrieval API. Authentication is handled via API keys (with a safe public demo key fallback), code quality is solid with proper error handling, and permissions align appropriately with its purpose. Minor issues around token visibility in logs and the embedded demo key prevent a higher score, but these are low-severity. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
5 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: GROUNDER_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rozetyp-grounder": {
"env": {
"GROUNDER_API_KEY": "your-grounder-api-key-here"
},
"args": [
"grounder-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Grounder MCP
Live web grounding for local and cloud LLMs, as four MCP tools. Every model is frozen at its training cutoff; Grounder gives yours the current web - ranked results, real page content, and a cited evidence pack sized to your context window.
A thin stdio client for the hosted service at https://grounder.dev - no browser, no scraper, nothing heavy runs locally. It runs with no signup on a shared demo key; add your own free key (1,500 pages/month, no card) at grounder.dev for real use.
Install
uvx grounder-mcp # or: pip install grounder-mcp
Configure
Claude Desktop, Cursor, LM Studio, Continue.dev, or any MCP client. The key is optional - omit it to try Grounder on the shared demo key, or add your own free key from grounder.dev:
{
"mcpServers": {
"grounder": {
"command": "uvx",
"args": ["grounder-mcp"],
"env": { "GROUNDER_API_KEY": "gnd_live_your_key" }
}
}
}
The four tools
| Tool | What it does |
|---|---|
web_search | Google organic results plus people-also-ask, related searches, and the knowledge graph. The top snippet often already holds the answer. |
fetch | One page as clean markdown, capped to your token budget, plus the final URL after redirects. |
deep_search | One search, read across the pages it surfaces, ranked into a token-capped, cited evidence pack. Optional grounded answer. |
research | Investigates an open question with no ready-made answer: it plans, reads primary sources, notices what is missing, goes back for it, and reasons to a grounded conclusion. |
Why use it
- It fits a small context window. Results come back token-capped, so they slot into an 8-32k local model instead of overflowing it. A few raw pages can be 20,000+ tokens (we measured 22,759 for one query) - enough to make a small model return nothing. You get the relevant passages, not whole pages.
- The live page, not a cached copy.
fetchreads the actual current page; any caching is short, timestamped, and force-refreshable. - Flat monthly price, billed in pages. You only pay for pages actually delivered. No per-call metering.
- No query content stored. Ever.
Pricing
Free: 1,500 pages/month, no card. Starter $9/mo, Pro $19/mo. Full table at https://grounder.dev/pricing.
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