Nimble for AI: MCP
Fuel AI Assistants With Fresh Web Data via Nimble MCP
Nimble gives AI assistants the ability to perceive, reason, and act using live, structured web data instantly available via our hosted MCP Server.
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The Data Backbone for
AI Agents and LLMs
Nimble’s Model Context Protocol (MCP) server acts as a universal bridge between AI systems and the live internet.
The agent asks a question over MCP
(e.g. “What are the top trending electric cars in Europe this week?”)
Nimble performs real-time search across the web
Search engines and target websites using Browserless drivers
Structured results returned in seconds
Ready-to-use JSON data, compatible with any AI assistant or framework
Your model reasons with fresh, real-world data
Nimble’s Model Context Protocol (MCP) server acts as a universal bridge between AI systems and the live internet.No stale inputs. No hallucinations.
Enabling Your Agents to Search, Extract, and Structure the Web
Nimble’s MCP infrastructure includes a suite of tools designed to support intelligent, autonomous reasoning:

nimble_deep_web_search
Scrape real-time web content from major search engines

nimble_extract
Extract content from a specific URL

nimble_google_maps_search
Discover and analyze local businesses

nimble_google_maps_reviews
Retrieve detailed customer reviews
Seamlessly Connect Leading AI Apps and Agent Frameworks with Nimble MCP



Connect Your AI Stack
to the Web in Minutes
Get Started Quickly with
Nimble’s MCP Cookbook
MCP_URL = "https://mcp.nimbleway.com/sse"
async def search_web(query: str) -> None:
api_key = os.environ.get("NIMBLE_API_KEY")
if not api_key:
raise ValueError("NIMBLE_API_KEY environment variable not set")
transport = SSETransport(
MCP_URL,
headers={"Authorization": f"Basic {api_key}"}
)
client = Client(transport)
async with client:
results = await client.call_tool(
"nimble_deep_web_search",
{"query": query}
)
for result in results:
if hasattr(result, "text"):
print(result.text)
if __name__ == "__main__":
query = sys.argv[1] if len(sys.argv) >
1 else "recent advances in artificial intelligence"
asyncio.run(search_web(query))
Enterprise-Grade Infrastructure
When you connect AI systems with data sources, trust is non-negotiable.
