Can my AI generate images from text?

Yes. `generate_image` creates images from any text prompt using AI models like Stable Diffusion.

Can I upscale or create variations?

Yes. `upscale_image` increases resolution and `generate_variation` creates visual alternatives of an existing image.

How do I browse available models?

Use `list_models` for all models or `list_models_by_category` to filter by style category.

INSTANT PLUG AND PLAY

Image Router MCP Server for CrewAIGive CrewAI instant access to 11 tools to Check Imagerouter Status, Edit Image, Generate Image, and more

Name: Image Router
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Image Router through Vinkius, pass the Edge URL in the `mcps` parameter and every Image Router tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Image Router app connector for CrewAI 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

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Image Router Specialist",
    goal="Help users interact with Image Router effectively",
    backstory=(
        "You are an expert at leveraging Image Router tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Image Router "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 Image Router MCP Server

Connect your ImageRouter account to any AI agent and manage AI image generation.

When paired with CrewAI, Image Router becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Image Router tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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.

check_imagerouter_status

Verify API connectivity

edit_image

Edit an existing image

generate_image

Generate an image from text

generate_image_advanced

Generate with full options

generate_variation

Generate image variation

get_generation_status

Check generation status

get_model

Get model details

list_models

List available models

list_models_by_category

List models by category

list_styles

List image styles

upscale_image

Upscale an image

Connect Image Router to CrewAI via MCP

Follow these steps to wire Image Router into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Image Router

Why Use CrewAI with the Image Router MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Image Router through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Image Router + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Image Router MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Image Router for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Image Router, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Image Router tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Image Router against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Image Router in CrewAI

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

Common issues when connecting Image Router to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Image Router + CrewAI FAQ

Common questions about integrating Image Router MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.