How do I get an Elevio API Key?

Log in to your Elevio dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. API access is typically enabled for most paid plans.

Can the agent translate my articles?

This integration currently focuses on listing and auditing articles and categories. Translating content or creating new language versions should be managed via the Elevio translation workflow in the dashboard.

Does the integration show real-time views?

You can retrieve article metadata using the get_article_details tool. While it shows current status and settings, detailed real-time analytics should be viewed in the Elevio reporting section.

Elevio MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Elevio
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 Elevio 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 Elevio. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Elevio?"
    )
    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 Elevio MCP Server

Integrate Elevio, the leading customer education and knowledge management platform, directly into your AI workflow. Manage your knowledge base articles and categories, track real-time publishing statuses, monitor active assistant modules, and oversee your organizational learning content using natural language.

LlamaIndex agents combine Elevio 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

Article Oversight — List and retrieve detailed information, HTML content, and publishing status for all your knowledge base articles.
Category Intelligence — Monitor the category tree, resolving structural relationships and identifying empty categories requiring attention.
Module Management — Access and monitor all Elevio assistant modules (support, search, tickets) and their activation statuses.
Knowledge Auditing — Retrieve high-level summaries of article volumes, category coverage, and organizational content health.

The Elevio 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 Elevio to LlamaIndex via MCP

Follow these steps to integrate the Elevio 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 Elevio

Why Use LlamaIndex with the Elevio MCP Server

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

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

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

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

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

Elevio + LlamaIndex Use Cases

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

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

Data enrichment: query Elevio 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 Elevio for fresh data

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

Elevio MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Elevio to LlamaIndex via MCP:

get_article_details

Get detailed settings and full content for a specific article

get_elevio_account_metadata

Retrieve metadata and limits for your Elevio account

list_active_modules

List all Elevio assistant modules (e.g. support, search, tickets)

list_draft_knowledge_articles

Identify articles that are currently in a "Draft" status

list_empty_knowledge_categories

Identify categories that currently have no associated articles (mock logic)

list_knowledge_articles

List all articles in your Elevio knowledge base

list_knowledge_categories

List all categories configured in your Elevio account

list_latest_article_updates

Identify the most recently created or updated articles

quick_content_health_audit

Retrieve a high-level summary of article and category volumes

search_knowledge_articles

Search for articles using a title or keyword

Example Prompts for Elevio in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Elevio immediately.

"List all published knowledge articles."

"Show me the categories in our knowledge base."

"Search for articles about 'integrations'."

Troubleshooting Elevio MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Elevio + LlamaIndex FAQ

Common questions about integrating Elevio 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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Elevio tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.