Can my AI automatically rewrite an older story using Arc Native Schema and safely publish the update?

Absolutely. Ask your agent to fetch a specific story by its ID. It understands the complex JSON structure of ANS, allows you to instruct it on what changes to make (e.g., 'Update the headline and add this new quote to paragraph 3'), and can dispatch an update command that preserves the content tree without breaking the CMS.

Is it possible to find specific high-res photos inside the ArcXP Media Library using natural language?

Yes! Use the photo assets search action to query tags or captions using descriptive words. The AI fetches the asset ID, caption, credit strings, and directly accessible image URLs, letting you browse your editorial imagery seamlessly.

Can I query what articles a specific editor has authored?

Yes! You can retrieve the Editor ID from the Author service and run an Elasticsearch query targeting their author object in the search tool. This quickly compiles all the CMS output for that specific reporter.

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

Name: ArcXP
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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({
        "arcxp": {
            "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 ArcXP, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 ArcXP MCP Server

Connect your ArcXP environment to any AI agent and take full control of your newsroom CMS through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with ArcXP 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

Content Management — Create, fetch, update, and forcefully delete Arc Native Schema (ANS) stories directly without entering the Editor
Advanced Search — Query your entire CMS library using powerful Elasticsearch-based syntax to find specific articles or historical reports
Media Library — Search and retrieve high-resolution photo assets, thumbnails, and transcoding stream playlists for videos
Author Service — List newsroom publishers, query specific reporter biographies, and manage author profiles

The ArcXP 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 ArcXP to LangChain via MCP

Follow these steps to integrate the ArcXP MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from ArcXP via MCP

Why Use LangChain with the ArcXP MCP Server

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

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

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

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

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

ArcXP + LangChain Use Cases

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

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

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

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

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

ArcXP MCP Tools for LangChain (10)

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

create_ans_content

The payload_json MUST strictly comply with the requested Arc Native Schema (ANS) version. Create new content in the Arc XP Content CMS

delete_ans_content

Use with extreme caution as this destroys datacenter assets irreversibly. Delete content from the Arc XP Content CMS

get_ans_content

Returns the complete JSON payload matching the Arc Native Schema (ANS). Fetch content from the Arc XP Content API

get_content_author

Retrieve a publisher profile/author from Arc XP

get_photo_asset

Retrieve a specific photo asset from Arc XP Media Library

get_video_asset

Retrieve a specific video asset from Arc XP Video Center

list_content_authors

List authors available in the Arc XP Author Service

search_ans_content

Returns matching ANS JSON objects. Search for content residing in the Arc XP Newsroom

search_photo_assets

Search for photo assets in the Arc XP Media Library

update_ans_content

Required to publish revisions to articles. Update existing content in the Arc XP Content CMS

Example Prompts for ArcXP in LangChain

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

"Fetch the article JSON payload for ID MZG5X1..."

"Search our ArcXP newsroom for all stories containing 'Election 2024'..."

"List the first 20 registered editors in our CMS."

Troubleshooting ArcXP MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ArcXP + LangChain FAQ

Common questions about integrating ArcXP MCP Server with LangChain.

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.

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.