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Basis Technologies MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Basis Technologies through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "basis-technologies": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Basis Technologies, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Basis Technologies
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Basis Technologies MCP Server

Connect your Basis Technologies (formerly Centro) account to any AI agent and orchestrate your programmatic advertising workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Basis Technologies through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Campaign Management — List all media buying campaigns and fetch detailed metadata from the Basis cloud.
  • Tactic Optimization — Query and inspect specific tactics (line items) to understand targeting, pacing, and bidding strategies.
  • Ad Creative Audit — List all ad creatives and verify statuses across your digital advertising portfolio.
  • Performance Analytics — Retrieve real-time delivery statistics and KPIs for campaigns and tactics to drive data-informed decisions.
  • Client & Brand Oversight — Maintain a clear view of all advertisers and brands managed within your organization.

The Basis Technologies MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Basis Technologies to LangChain via MCP

Follow these steps to integrate the Basis Technologies MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Basis Technologies via MCP

Why Use LangChain with the Basis Technologies MCP Server

LangChain provides unique advantages when paired with Basis Technologies through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Basis Technologies MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Basis Technologies queries for multi-turn workflows

Basis Technologies + LangChain Use Cases

Practical scenarios where LangChain combined with the Basis Technologies MCP Server delivers measurable value.

01

RAG with live data: combine Basis Technologies tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Basis Technologies, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Basis Technologies tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Basis Technologies tool call, measure latency, and optimize your agent's performance

Basis Technologies MCP Tools for LangChain (10)

These 10 tools become available when you connect Basis Technologies to LangChain via MCP:

01

get_ad

Get specific ad details

02

get_campaign

Get specific Basis campaign details

03

get_campaign_performance

Get performance metrics for a campaign

04

get_tactic

Get specific Basis tactic details

05

get_tactic_performance

Get performance metrics for a tactic

06

list_ads

List all ad creatives

07

list_brands

List all brands

08

list_campaigns

List all Basis DSP campaigns

09

list_clients

List all clients/advertisers

10

list_tactics

List all Basis DSP tactics (line items)

Example Prompts for Basis Technologies in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Basis Technologies immediately.

01

"List all active campaigns in my Basis account."

02

"Show performance stats for campaign 88231."

03

"List all tactics associated with my account."

Troubleshooting Basis Technologies MCP Server with LangChain

Common issues when connecting Basis Technologies to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Basis Technologies + LangChain FAQ

Common questions about integrating Basis Technologies MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Basis Technologies to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.