Viesus MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Enhance Image Ai, Get Account Credit Balance, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Viesus as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Viesus app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Viesus. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Viesus?"
)
print(response)
asyncio.run(main())
* 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 Viesus MCP Server
Connect your Viesus account to any AI agent and simplify your professional image processing and enhancement workflows through natural conversation.
LlamaIndex agents combine Viesus tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- AI Enhancement — Apply powerful upscaling, face restoration, and automatic color correction to your photos.
- Job Monitoring — Upload images and track the real-time status of your enhancement requests (queued, processing, completed).
- Content Retrieval — Fetch direct download links for your processed images and retrieve technical metadata like resolution and color space.
- Account Management — Monitor your credit balance and view the history of all processing jobs.
- Preset Library — List and select from predefined enhancement configurations optimized for different photo types.
The Viesus MCP Server exposes 12 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.
All 12 Viesus tools available for LlamaIndex
When LlamaIndex connects to Viesus through Vinkius, your AI agent gets direct access to every tool listed below — spanning photo-enhancement, image-retouching, color-correction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Viesus API status
Apply AI enhancement to an image
Check remaining API credits
Retrieve API version details
Retrieve the final image download link
Check the status of an enhancement job
Retrieve technical metadata for an image
List active webhooks
List available enhancement configurations
List recent image processing jobs
List supported image formats
Upload an image for processing
Connect Viesus to LlamaIndex via MCP
Follow these steps to wire Viesus into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Viesus MCP Server
LlamaIndex provides unique advantages when paired with Viesus through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Viesus tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Viesus tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Viesus, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Viesus tools were called, what data was returned, and how it influenced the final answer
Viesus + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Viesus MCP Server delivers measurable value.
Hybrid search: combine Viesus real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Viesus 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 Viesus for fresh data
Analytical workflows: chain Viesus queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Viesus in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Viesus immediately.
"Check my Viesus credit balance."
"Enhance image 'img_12903' using the 'standard-high' preset."
"Show me the technical metadata for the image I just uploaded."
Troubleshooting Viesus MCP Server with LlamaIndex
Common issues when connecting Viesus to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpViesus + LlamaIndex FAQ
Common questions about integrating Viesus MCP Server with LlamaIndex.