Nimbleway MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Nimbleway through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nimbleway": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Nimbleway, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Nimbleway MCP Server
Connect your Nimbleway account to your AI agent and leverage high-performance web data collection through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Nimbleway through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Web Extraction — Fetch and render any web page as raw HTML or clean Markdown using advanced stealth technology to bypass bots.
- Structured Search — Execute real-time web searches and receive structured data directly from major search engines.
- Pipeline Management — List and inspect your data streams (pipelines) to monitor your scraping workflows.
- Usage Monitoring — Track your current bandwidth, remaining credits, and overall account usage in real-time.
- Job Tracking — Monitor the progress and metadata of your active data extraction and crawling jobs.
- Proxy Oversight — Access configuration details for your residential and data center proxy endpoints.
The Nimbleway MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Nimbleway to LangChain via MCP
Follow these steps to integrate the Nimbleway MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Nimbleway via MCP
Why Use LangChain with the Nimbleway MCP Server
LangChain provides unique advantages when paired with Nimbleway through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Nimbleway MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Nimbleway queries for multi-turn workflows
Nimbleway + LangChain Use Cases
Practical scenarios where LangChain combined with the Nimbleway MCP Server delivers measurable value.
RAG with live data: combine Nimbleway tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Nimbleway, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Nimbleway tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Nimbleway tool call, measure latency, and optimize your agent's performance
Nimbleway MCP Tools for LangChain (10)
These 10 tools become available when you connect Nimbleway to LangChain via MCP:
extract_html
Extract web page as HTML
extract_markdown
Extract web page as Markdown
get_account_usage
Check account bandwidth and usage
get_job
Get specific job details
get_me
Get current account info
get_pipeline
Get specific pipeline details
list_jobs
List scraping jobs
list_pipelines
List scraping pipelines
list_proxies
List proxy configuration
search_web
Perform structured web search
Example Prompts for Nimbleway in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Nimbleway immediately.
"Extract the content of 'https://example.com' as Markdown."
"Search the web for 'latest AI developments 2024' and give me structured results."
"Check my account usage and remaining credits."
Troubleshooting Nimbleway MCP Server with LangChain
Common issues when connecting Nimbleway to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNimbleway + LangChain FAQ
Common questions about integrating Nimbleway MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Nimbleway with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Nimbleway to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.