How to Use the Webshare MCP in LangChain
Build multi-step proxy workflows and reasoning agents using LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Webshare MCP to LangChain
Create your Vinkius account to connect Webshare to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Proxy Management with MCP Server
The `get_account_profile` tool lets your agent check the user's plan limits, including bandwidth quotas. It pulls together essential usage metrics that determine if the operation will succeed. You also use tools like `list_authorized_ips` to see exactly which IPs are whitelisted for proxy access without needing a password.
Proxy IP Rotation & Control
Need to change an endpoint? The agent calls `request_proxy_replacement` when the current proxy needs swapping, provided the account quota allows it. If an IP is compromised or no longer needed, your agent runs `revoke_ip_authorization` using a unique ID. It's also smart to call `list_proxies` to get all assigned IPs and their health status before initiating any action.
Tracking Webshare Performance
Before running a big task, the agent runs `get_bandwidth_stats` to pull historical data on bandwidth and requests. This helps prevent unexpected failures. If you need to expand access for a new server or service, your agent executes `authorize_new_ip`, whitelisting the necessary address for proxy usage.
Set up Webshare MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Webshare tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"webshare-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Webshare transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webshare. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Webshare MCP in LangChain
Use it with your favorite AI tools
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Start using the Webshare MCP today
We host it, we monitor it, we maintain it. You just paste one token.