How to Use the ArcXP MCP in LangChain

Q: How do I search for ArcXP content within a LangChain agent?

Use the searchanscontent tool inside your agent's tool set. This fetches matching JSON objects from the newsroom based on your specific query parameters.

Build complex newsroom pipelines by chaining ArcXP tools directly into your LangChain agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ArcXP MCP to LangChain

Create your Vinkius account to connect ArcXP 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.

GDPR Free for Subscribers

Setup ArcXP with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain ArcXP content operations in LangChain

Pipe your newsroom data through multi-step reasoning chains. Use `get_ans_content` to pull articles and immediately feed that text into another agent for summarization or rewriting. Your LangChain agent decides which tool to trigger based on the previous link in the chain. This gives you granular control over complex publishing workflows without manual intervention.

Manage ArcXP assets with automated reasoning

Automate your CMS updates by routing outputs from your vector stores directly into `update_ans_content`. Your agent maintains context across every step of the pipeline. Observability comes standard when you pipe these operations through your existing LangSmith traces. You see exactly what your agent sends to the CMS and why.

Search and verify newsroom data

Connect `search_ans_content` to your chain to find specific assets before executing an action. Your agent cross-references existing headlines to prevent duplicate publishing. This MCP server ensures your agent holds the latest state of the newsroom. You get predictable, repeatable results in every automated run.

Setup guide

Set up ArcXP 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 ArcXP 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({
    "arcxp-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 ArcXP transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ArcXP. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ArcXP now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ArcXP MCP in LangChain

Use the `search_ans_content` tool inside your agent's tool set. This fetches matching JSON objects from the newsroom based on your specific query parameters.

Yes, by chaining multiple tool calls together. You can fetch, modify, and update content in a single sequence.

Your CMS data remains isolated within your Vinkius sandbox. The server only handles the specific ANS payloads required for your defined tasks.

Absolutely. Every tool input and output flows through your standard tracing stack. This lets you debug exactly what your agent does with your content.

The server enforces strict ANS compliance for all payloads. If your data structure doesn't match the required schema, the tool call returns an error immediately.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript