LlamaIndex

Prerequisites

Before you can configure and use LlamaIndex with Connect AI, you must do the following:

OAuth JWT bearer token を生成します。PAT をコピーし、認証時にパスワードとして使用します。
Obtain an OpenAI API key: https://platform.openai.com.
Make sure you have Python >= 3.10 in order to install the LlamaIndex packages.

Create the Python Files

Create a folder for LlamaIndex MCP.

Create a Python file within the folder called llamaindex.py.

In llamaindex.py, set up your MCP server and MCP client to call the tools and prompts. The Authorization is Bearer and the JWT bearer token from the prerequisites.

from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, aget_tools_from_mcp_url
from llama_index.core.agent import ReActAgent
import asyncio

client = BasicMCPClient(
    "https://mcp.cloud.cdata.com/mcp",
    headers={"Authorization": "Bearer OAUTH_JWT_TOKEN"}
)

async def main():
    # List available tools
    tools = await aget_tools_from_mcp_url("https://mcp.cloud.cdata.com/mcp", client=client)
   
    llm = OpenAI(model="gpt-4o", api_key="YOUR_OPENAI_KEY")   
    # Create ReActAgent
    agent = ReActAgent(tools=tools, llm=llm, verbose=True)
    # # Run a query
    response = await agent.run("List all the catalogs for me please")
    print(response)

asyncio.run(main())

Install the LlamaIndex Packages

Run the following command in your project terminal:

pip install llama-index llama-index-llms-openai llama-index-tools-mcp

Run the Python Script

When the installation finishes, run the following command to execute the script:

python llamaindex.py

The script discovers the Connect AI MCP tools needed for the LLM to query the connected data.

Supply a prompt for the agent. The agent provides a response.

LangGraph n8n

⌘I

はじめに

データソース

インテグレーション

セキュリティ

リソース

Prerequisites

Create the Python Files

Install the LlamaIndex Packages

Run the Python Script

​Prerequisites

​Create the Python Files

​Install the LlamaIndex Packages

​Run the Python Script

Prerequisites

Create the Python Files

Install the LlamaIndex Packages

Run the Python Script