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 LlamaIndex 10 tools — connect in under 2 minutes

Name: ArcXP
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ArcXP as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ArcXP. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ArcXP?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine ArcXP tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from ArcXP

Why Use LlamaIndex with the ArcXP MCP Server

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

Data-first architecture: LlamaIndex agents combine ArcXP tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ArcXP tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ArcXP, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ArcXP tools were called, what data was returned, and how it influenced the final answer

ArcXP + LlamaIndex Use Cases

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

Hybrid search: combine ArcXP real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ArcXP to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ArcXP for fresh data

Analytical workflows: chain ArcXP queries with LlamaIndex's data connectors to build multi-source analytical reports

ArcXP MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect ArcXP to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ArcXP + LlamaIndex FAQ

Common questions about integrating ArcXP MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.