Image Router MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Check Imagerouter Status, Edit Image, Generate Image, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Image Router 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 Image Router app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 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 Image Router. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Image Router?"
)
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 Image Router MCP Server
Connect your ImageRouter account to any AI agent and manage AI image generation.
LlamaIndex agents combine Image Router tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Image Generation — Create images from text prompts with any supported model
- Advanced Generation — Full control over size, steps, seed, and negative prompts
- Image Editing — Modify existing images based on text descriptions
- Model Library — Browse and filter models by category
- Style Presets — Apply artistic styles to generations
- Upscaling — Increase image resolution
- Variations — Create visual variations of existing images
- Task Status — Check async generation progress
The Image Router MCP Server exposes 11 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 11 Image Router tools available for LlamaIndex
When LlamaIndex connects to Image Router through Vinkius, your AI agent gets direct access to every tool listed below — spanning generative-ai, image-generation, model-aggregation, 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 API connectivity
Edit an existing image
Generate an image from text
Generate with full options
Generate image variation
Check generation status
Get model details
List available models
List models by category
List image styles
Upscale an image
Connect Image Router to LlamaIndex via MCP
Follow these steps to wire Image Router 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 Image Router MCP Server
LlamaIndex provides unique advantages when paired with Image Router through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Image Router tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Image Router tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Image Router, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Image Router tools were called, what data was returned, and how it influenced the final answer
Image Router + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Image Router MCP Server delivers measurable value.
Hybrid search: combine Image Router real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Image Router 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 Image Router for fresh data
Analytical workflows: chain Image Router queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Image Router in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Image Router immediately.
"Generate an image of a futuristic city at sunset."
"List all available image models."
"Upscale this image to 2x resolution."
Troubleshooting Image Router MCP Server with LlamaIndex
Common issues when connecting Image Router to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpImage Router + LlamaIndex FAQ
Common questions about integrating Image Router MCP Server with LlamaIndex.