Webshare MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Webshare as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Webshare. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Webshare?"
)
print(response)
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 Webshare MCP Server
Connect your Webshare account to any AI agent and take full control of your proxy infrastructure through natural conversation.
LlamaIndex agents combine Webshare tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Proxy Management — List all assigned residential and datacenter proxy IPs, including ports, credentials, and health status
- IP Authorization — Audit and manage your whitelist of authorized IP addresses to grant proxy access to new servers instantly
- Rotation Control — Retrieve current proxy rotation and backbone network settings to ensure your crawlers are configured correctly
- Real-Time Stats — Monitor your bandwidth consumption and request success/failure rates directly from your agent
- Immediate Replacement — Request instant proxy replacements for flagged or blocked IPs within your account quota
- Quota Monitoring — Check your account profile, plan limits, and remaining bandwidth before starting large-scale data tasks
- High-Speed Export — Generate temporary tokens to export and download your entire proxy list in a single request
The Webshare MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Webshare to LlamaIndex via MCP
Follow these steps to integrate the Webshare MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Webshare
Why Use LlamaIndex with the Webshare MCP Server
LlamaIndex provides unique advantages when paired with Webshare through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Webshare tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Webshare tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Webshare, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Webshare tools were called, what data was returned, and how it influenced the final answer
Webshare + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Webshare MCP Server delivers measurable value.
Hybrid search: combine Webshare real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Webshare to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Webshare for fresh data
Analytical workflows: chain Webshare queries with LlamaIndex's data connectors to build multi-source analytical reports
Webshare MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Webshare to LlamaIndex via MCP:
authorize_new_ip
Whitelists a new IP address for proxy access
export_proxy_list
Generates a temporary token to download the entire proxy list in a single request
get_account_profile
Retrieves Webshare user profile, including plan limits and bandwidth quotas
get_bandwidth_stats
Retrieves historical bandwidth and request statistics
get_proxy_configuration
Retrieves current proxy rotation and backbone network settings
get_replacement_quota
Checks the available proxy replacement limits for the current cycle
list_authorized_ips
Lists all IP addresses authorized to use proxies without password authentication
list_proxies
Supports pagination. Lists all assigned proxy IPs with their ports, credentials, and health status
request_proxy_replacement
Subject to account quotas. Requests an immediate replacement for a specific proxy IP
revoke_ip_authorization
Requires the unique ip_id. Removes an IP address from the authorized whitelist
Example Prompts for Webshare in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Webshare immediately.
"List my active proxies and their health status."
"Authorize the IP address 192.168.1.100 for my proxy pool."
"What are my bandwidth statistics for this month?"
Troubleshooting Webshare MCP Server with LlamaIndex
Common issues when connecting Webshare to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWebshare + LlamaIndex FAQ
Common questions about integrating Webshare MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Webshare 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 Webshare to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.