Grounder
Web grounding for local & cloud LLMs: search, fetch, token-capped evidence packs, and research.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
grounder-mcpclaude mcp add grounder -e 'GROUNDER_API_KEY=<your grounder_api_key>' -- uvx grounder-mcp==0.4.1
{
"mcpServers": {
"grounder": {
"command": "uvx",
"args": [
"grounder-mcp==0.4.1"
],
"env": {
"GROUNDER_API_KEY": "<your grounder_api_key>"
}
}
}
}
Variables d'environnement
GROUNDER_API_KEYobligatoire secret Your Grounder API key - get one free at https://grounder.dev
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
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.
Questions fréquentes
Qu'est-ce que Grounder ?
Web grounding for local & cloud LLMs: search, fetch, token-capped evidence packs, and research.
Comment installer Grounder ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add grounder -e 'GROUNDER_API_KEY=<your grounder_api_key>' -- uvx grounder-mcp==0.4.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Grounder ?
Oui. Il attend GROUNDER_API_KEY, à renseigner dans sa configuration.
Grounder est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Grounder ?
Il est publié par rozetyp. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.