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How to Use the Delta Projects MCP in LlamaIndex

Index Delta Projects programmatic ad data directly into your LlamaIndex vector stores for zero-hallucination RAG.

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LlamaIndex

Connect Delta Projects MCP to LlamaIndex

Create your Vinkius account to connect Delta Projects 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.

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Index live ad performance into LlamaIndex

The `get_campaign_performance` tool retrieves real-time delivery metrics over MCP for any active Delta Projects campaign directly into LlamaIndex. LlamaIndex then parses this Delta Projects JSON payload and stores it as a document node in your index. This setup lets your LlamaIndex query engine answer questions about active Delta Projects spend based on actual API data. Instead of guessing, your LlamaIndex agent searches the local index to find the exact ROI of your running Delta Projects campaigns.

Build RAG pipelines using this MCP Server

The `list_ad_creatives` tool fetches metadata for all your uploaded Delta Projects banners and videos directly into your LlamaIndex knowledge base. You can then run semantic search queries in LlamaIndex to find which Delta Projects creative assets match specific campaign objectives. By configuring this Delta Projects MCP Server with LlamaIndex, you give your index direct access to live platform configurations. Your LlamaIndex agent queries `list_media_placements` to verify where Delta Projects ads are running before updating the index.

Query target audiences with semantic search

The `list_target_audiences` tool downloads your first-party and third-party Delta Projects audience lists so LlamaIndex can index them. This lets you ask natural language questions in LlamaIndex about which Delta Projects audience segments are currently targeted. The LlamaIndex query engine matches your questions against the indexed Delta Projects audience data retrieved from `list_managed_advertisers`. You get grounded LlamaIndex answers because the system relies on real Delta Projects advertiser configurations rather than LLM weights.

Setup guide

Set up Delta Projects MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Delta Projects MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
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 Delta Projects tools.",
)
response = await agent.run("List recent Delta Projects data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Delta Projects. 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 Delta Projects MCP in LlamaIndex

Install `llama-index-tools-mcp` to connect the Delta Projects MCP Server directly to your index. Wrap the client with `McpToolSpec` to expose Delta Projects functions to your LlamaIndex agent.
Yes, the LlamaIndex agent uses `search_campaigns_by_name` to retrieve matching Delta Projects campaigns. It then indexes the Delta Projects campaign details so you can run LlamaIndex RAG queries on them.
It uses `get_custom_ad_report` to pull factual Delta Projects performance reports directly into the LlamaIndex vector store. The LlamaIndex agent only answers questions using these retrieved Delta Projects facts.
Yes, you can use the LlamaIndex `allowed_tools` filter during initialization to restrict access to Delta Projects tools. For example, you can limit LlamaIndex to the `list_running_campaigns` tool only.
Your Delta Projects audience lists and advertiser metadata are held in your local LlamaIndex vector store, not on Vinkius. The Delta Projects server runs in a secure, zero-trust environment that handles authentication on the fly for LlamaIndex.

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