How to Use the Delta Projects MCP in LangChain

Q: How do I initialize the Delta Projects MCP Server in a LangChain project?

Install langchain-mcp-adapters in your project to connect the Delta Projects MCP Server. Call client.gettools() on the LangChain adapter to retrieve your ad management tools.

Q: Can a LangChain agent search for specific campaigns using Delta Projects?

Yes, the LangChain agent calls searchcampaignsbyname to find matching Delta Projects campaigns. It then chains that result into getcampaignperformance to analyze Delta Projects metrics.

Let your LangChain chains query and update Delta Projects programmatic ad campaigns directly without writing custom API glue.

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Connect Delta Projects MCP to LangChain

Create your Vinkius account to connect Delta Projects to LangChain 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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Setup Delta Projects with LangChain

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Run multi-step ad audits in LangChain

The `list_running_campaigns` tool lets your LangChain agent pull active Delta Projects campaigns over an MCP connection to start a multi-step audit. By passing this output to a verification chain, your LangChain agent identifies underperforming Delta Projects ads and flags them for review. LangSmith traces every step of this process, showing you exactly how the LangChain agent decided to query `get_campaign_performance` in your Delta Projects account. You see the raw API inputs and outputs clearly, making it easy to debug why a specific Delta Projects campaign was flagged in your LangChain run.

Build automated reporting chains with this MCP Server

The `get_custom_ad_report` tool pulls specific performance dimensions from Delta Projects directly into your LangChain reporting chain. This setup replaces manual CSV exports with a single, automated LangChain run querying your Delta Projects data. This Delta Projects MCP Server integrates directly into your existing LangChain workflows, allowing you to chain ad data with external databases. If a Delta Projects campaign ROI drops, the LangChain chain triggers an alert with the exact campaign metadata retrieved from `get_platform_metadata`.

Match creatives to target audiences dynamically

The `list_target_audiences` tool lets your LangChain agent fetch available audiences from Delta Projects to map them against your active media assets. It queries `list_ad_creatives` to find the exact Delta Projects banner or video that matches your LangChain audience profile. Because LangChain supports multi-server setups, you can combine this Delta Projects ad data with a vector database of customer personas. Your LangChain chain evaluates the match, then updates the Delta Projects media configuration using the retrieved IDs.

Setup guide

Set up Delta Projects MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Delta Projects tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "delta-projects-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Delta Projects transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install `langchain-mcp-adapters` in your project to connect the Delta Projects MCP Server. Call `client.get_tools()` on the LangChain adapter to retrieve your ad management tools.

Yes, the LangChain agent calls `search_campaigns_by_name` to find matching Delta Projects campaigns. It then chains that result into `get_campaign_performance` to analyze Delta Projects metrics.

LangSmith logs the exact parameters passed to Delta Projects tools like `list_media_placements` during a LangChain run. You can inspect the latency and raw JSON response of every single Delta Projects API call inside LangChain.

Yes, the Delta Projects MCP integration is stateless by default when running LangChain chains. If you need to maintain context across multiple steps, use the LangChain client session to keep Delta Projects data active.

Vinkius runs the Delta Projects server in an isolated V8 sandbox, ensuring your LangChain runs never expose your campaign configurations or audience lists. All Delta Projects credentials remain encrypted and are only used to sign outbound API requests from your LangChain agent.

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