How to Use the Cloud BOT MCP in LlamaIndex
Turn web automation results into searchable knowledge for LlamaIndex by indexing Cloud BOT output into your vector store.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloud BOT MCP to LlamaIndex
Create your Vinkius account to connect Cloud BOT to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Cloud BOT data in LlamaIndex
Run `execute_bot` and feed the results into your vector index. It grounds your agent's answers in live web data. Your LlamaIndex application treats the output as a new document. You query this data later to find patterns in your automated browser tasks.
Search job history in LlamaIndex
Use `list_jobs` to pull recent execution history into your knowledge base. It makes your past browser interactions queryable. You avoid hallucinations by grounding your answers in actual API logs. The agent pulls the history, indexes it, and answers your questions based on facts.
Automate bot discovery for RAG
Map out your available bots with `list_bots` and build a searchable registry. Your agent knows exactly which bot to call for a specific query. This creates a self-documenting system. You ask your agent to find data, and it references the indexed bot list to choose the right tool.
Set up Cloud BOT MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Cloud BOT MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Cloud BOT tools.",
)
response = await agent.run("List recent Cloud BOT data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloud BOT. 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 Cloud BOT MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Cloud BOT MCP today
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