LlamaIndex Integration

Connect Thordata MCP Server to LlamaIndex agents for real-time web search, scraping, structured data retrieval, and RAG workflows.

Integrate Thordata MCP Server with LlamaIndex to give AI agents access to real-time SERP data and structured search results.

Connect LlamaIndex agents to the ThorData MCP server to add real-time web search, scraping, and structured data retrieval to your RAG and indexing pipelines.

Hosted MCP

1

Get your API token

• Go to SERP API-API Token to create an API Token;

• Copy your API Token (format as: sk_7qBRe***************************）

2

Install the LlamaIndex MCP toolkit

pip install llama-index-tools-mcp

3

Configure your MCP server

import asyncio
from llama_index.tools.mcp import BasicMCPClient

async def main():
    http_client = BasicMCPClient("https://mcp.thordata.com/API_TOKEN/mcp")

    # List tools
    tools = await http_client.list_tools()
    print("Tools:", tools)

    # Call a tool
    result = await http_client.call_tool("scrape_as_markdown", {"url":"https://docs.llamaindex.ai/en/stable/examples/tools/mcp/"})
    print("Result:", result)

asyncio.run(main())

4

Test to see if it works.

• Run your LlamaIndex script using the manual tool.

• You should be able to see the requested URL in Markdown.

5

Monitor usage

View your API usage in the ThorData SERP API usage logs.