Agentery pricing intelligence · MCP server profile · Multi-Provider Web Search Server
MCP server profile · independently tracked by Agentery
MW
Multi-Provider Web Search Server
Provide unified web search capabilities by leveraging multiple search providers with automatic fallback to maximize your search quota. Perform searches across…
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Provide unified web search capabilities by leveraging multiple search providers with automatic fallback to maximize your search quota. Perform searches across Google, Tavily, DuckDuckGo, and Brave with standardized results through a single MCP tool. Easily configure and integrate into your AI workflows to enhance search automation.
MCPMCPautonomy: workflow automation
Official Multi-Provider Web Search Server links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is Multi-Provider Web Search Server good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Web Search API
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "multi_search_mcp",
"name": "Multi-Provider Web Search Server",
"url": "https://smithery.ai/server/guptabhishek/multi-search-mcp",
"logo": null,
"niche": "web-search-api",
"category": "developer-tools-infra",
"short_summary": "Provide unified web search capabilities by leveraging multiple search providers with automatic fallback to maximize your search quota. Perform searches across…",
"task_performed": "Provide unified web search capabilities by leveraging multiple search providers with automatic fallback to maximize your search quota. Perform searches across Google, Tavily, DuckDuckGo, and Brave with standardized results through a single MCP tool. Easily configure and integrate into your AI workflows to enhance search automation.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://smithery.ai/server/guptabhishek/multi-search-mcp",
"checked_at": "2026-07-26T06:31:11.157Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "low",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://smithery.ai/server/guptabhishek/multi-search-mcp"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://smithery.ai/server/guptabhishek/multi-search-mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1645,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:36:13.326Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}