AI models have a knowledge cutoff. Every question about recent events, live prices, breaking news, or the latest package version is one your agent gets wrong. agentic_web_search fixes that — self-hosted SearXNG, no API key, no per-search cost.
Your AI agent knows everything up to its training date — and nothing after. Ask it what happened yesterday, what a stock is trading at, who won the match, or what the latest CVE is for a package you use. You'll get a confident answer that's weeks or months out of date.
Stale data isn't a minor inconvenience. It's a fundamental capability gap. For any task that touches the real world — research, market analysis, competitive intelligence, news monitoring, live event tracking — your agent is flying blind.
Today we're shipping agentic_web_search — a free, self-hosted MCP tool that gives your agent real-time internet access. No API key. No per-search billing. Your queries never leave your infrastructure.
The cost of flying blind
Once agentic_web_search is connected, your agent gains the ability to answer questions that actually matter today — not questions frozen in time.
News & Events
Market Intelligence
Technical Research
Live Data
Most AI web search solutions cost money — Bing Search API, Serper, Brave Search, Exa all charge per query or per month. At scale, this adds up fast. And every query goes through their servers.
agentic_web_search routes through SearXNG — a free, open-source metasearch engine you run yourself. It aggregates results from Google, Bing, DuckDuckGo, and dozens more in a single query. Your searches stay on your infrastructure. The cost is zero. The rate limit is yours to control.
$0
Cost per search
None
API key required
30+
Search engines
SearXNG runs as a Docker container. Once it's up, the MCP tool connects to it automatically.
# 1. Start SearXNG (one time)
git clone https://pypi.org/project/agentic-store-mcp/
cd agentic-store-mcp && docker compose up -d
# 2. Run the MCP server with web search enabled
SEARXNG_URL=http://localhost:8080 uvx --refresh agentic-store-mcpOr add it permanently to your AI client config:
{
"mcpServers": {
"agenticstore": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"],
"env": {
"SEARXNG_URL": "http://localhost:8080"
}
}
}
}Model capabilities matter. Prompt engineering matters. But for real-world tasks, the quality of your agent's output is bounded by the freshness of its data. A brilliant model reasoning over six-month-old information will still give you a six-month-old answer.
agentic_web_search is the first AgenticData tool that lifts that ceiling. We're building more — structured data extraction, RSS monitoring, real-time feeds. The platform for giving agents access to live, structured, private data is what we're here to build.
Start now — it's free.
Self-hosted, open source, MIT licensed. Zero per-search cost. Works with Claude Desktop, Cursor, Windsurf, and VS Code.
Read the docs →