How to Use the Webshare MCP in AutoGen

Q: How do I manage Webshare proxies using AutoGen?

AutoGen agents can use tools like listproxies to gather comprehensive data on available IPs. They then debate the best approach—whether to replace a proxy or stick with an existing one.

Q: Does Webshare help track resource usage in AutoGen?

Yes. Agents use getbandwidthstats and getaccountprofile to monitor bandwidth quotas and plan limits, ensuring the overall task stays within budget.

Q: Can I check IP authorization status with Webshare using AutoGen?

Absolutely. Agents use listauthorizedips to confirm which IPs are whitelisted for proxy usage, a critical step before any large-scale operation begins.

Develop multi-agent proxy systems using AutoGen and the MCP Server.

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Setup Webshare with AutoGen

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Agent Proxy Negotiation

Multiple agents can debate network access by calling `list_proxies` to get a full list of available IPs. One agent might challenge another's choice based on the proxy's reported health status. A performance agent can use `get_bandwidth_stats` to determine if a specific IP is too slow for the task, forcing a decision change.

Security and Access Control

A security agent handles access rules by executing `authorize_new_ip`. If unauthorized IPs are detected, another agent can use `revoke_ip_authorization` to immediately remove them from the whitelist. The system also uses `list_authorized_ips` as a consensus check before granting any high-level access.

Webshare Quota Reporting

Agents collaborate on resource management. One agent calls `get_account_profile` to establish the initial budget, while another uses `get_replacement_quota` to track remaining proxy swaps. The agents then deliberate which action is most cost-effective. The process is finalized by calling `request_proxy_replacement` only when consensus confirms the quota exists.

Setup guide

Set up Webshare MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Webshare tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Webshare_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Webshare data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Webshare_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Webshare data")
    print(result.messages[-1].content)

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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.

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Common questions about Webshare MCP in AutoGen

AutoGen agents can use tools like `list_proxies` to gather comprehensive data on available IPs. They then debate the best approach—whether to replace a proxy or stick with an existing one.

Yes. Agents use `get_bandwidth_stats` and `get_account_profile` to monitor bandwidth quotas and plan limits, ensuring the overall task stays within budget.

Absolutely. Agents use `list_authorized_ips` to confirm which IPs are whitelisted for proxy usage, a critical step before any large-scale operation begins.

The MCP Server provides structured tools that allow agents to perform actions—like whitelisting or listing IPs—and report their results back into the multi-agent conversation.

This server manages account profiles, proxy credentials, and IP addresses. The critical type of data is usage statistics and whitelisted IPs.

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