2,500+ MCP servers ready to use
Vinkius

Convertio MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

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

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 Convertio. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
Convertio
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 Convertio MCP Server

Connect your AI agent to Convertio, the versatile file conversion platform supporting over 300 formats.

LlamaIndex agents combine Convertio tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

  • Document Conversion — Convert Word documents to PDF, markdown to HTML, or any text format instantly.
  • Media Encoding — Compress audio files or convert images from SVG to PNG/JPG.
  • Status Tracking — Query conversion progress and retrieve the download link when ready.

The Convertio MCP Server exposes 8 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 Convertio to LlamaIndex via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 8 tools from Convertio

Why Use LlamaIndex with the Convertio MCP Server

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

01

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

02

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

03

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

04

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

Convertio + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Convertio MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Convertio to LlamaIndex via MCP:

01

convert_file

Start a new file conversion job

02

delete_conversion_job

Remove a job and its file from Convertio servers

03

get_account_balance

Check your Convertio API credit balance

04

get_conversion_status

Check the status of a conversion job

05

list_active_jobs

List your current active conversion jobs

06

list_common_formats

List common supported formats for conversion

07

quick_convert_to_jpg

Quickly convert any image URL to JPG

08

quick_convert_to_pdf

Quickly convert any document URL to PDF

Example Prompts for Convertio in LlamaIndex

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

01

"Convert this SVG to PNG: 'https://example.com/logo.svg'"

02

"Check the status of conversion 'a8s9df7s9'."

03

"How many conversion credits do I have left in my Convertio account?"

Troubleshooting Convertio MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Convertio + LlamaIndex FAQ

Common questions about integrating Convertio MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Convertio tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Convertio to LlamaIndex

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.