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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
5.2
Moderate5.2Moderate RiskGrounder MCP is a well-designed thin client for a hosted web search service with proper authentication, no malicious patterns, and appropriate permissions for its stated purpose. The codebase is clean and focused, with good error handling that preserves server-side error messages for the LLM to act on. Minor quality improvements around input validation and logging could be made, but security posture is sound. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
5 files analyzed · 9 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:
Your Grounder API key - get one free at https://grounder.devRequired
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.
This is a thin stdio client for the hosted service at grounder.dev - no browser, no scraper, nothing heavy runs locally. Get a key (free, no card) at grounder.dev.
Install
uvx grounder-mcp # or: pip install grounder-mcp
Configure
Claude Desktop, Cursor, LM Studio, Continue.dev, or any MCP client:
{
"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 the surfaces around them - people-also-ask, related searches, knowledge graph. The top snippet often already holds the answer, so the model can skip a fetch. |
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, chunked and ranked into a token-capped, cited evidence pack. Optional grounded answer, written only from what it read. |
research | An agentic search-and-read loop for hard, multi-part questions: it plans, reads primary sources, notices what is still missing, goes back for it, and answers from the pages it actually read. |
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 web pages can be 20,000+ tokens - we measured
22,759 for one query - which is enough to make a small model return nothing at all.
deep_searchandresearchhand back the relevant passages, not whole pages. - The live page, not a cached copy.
fetchreads the actual current page on request. Any caching is short, timestamped, and force-refreshable - it never turns into an opaque stale index. - Flat monthly price, billed in pages. One page is one search, one fetch, or one page a
deep_searchreads, and you only pay for pages actually delivered - an empty search or an unreadable page is free. No per-call metering. - No query content stored. Ever.
- Nothing heavy to run. The client just forwards tool calls to the hosted API, so it installs in seconds with no browser or scraping stack on your machine.
Pricing
Free: 1,500 pages/month, email only, no card. Starter $9/mo and Pro $19/mo add higher page budgets,
protected-page access, and more research runs. Full table at
grounder.dev/pricing.
Links
- Site and docs: grounder.dev · docs · guides
- MCP registry:
io.github.rozetyp/grounder - PyPI: grounder-mcp
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