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Viesus MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Api Health, Enhance Image Ai, Get Account Credit Balance, and more

Built by Vinkius GDPR 12 Tools Framework

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

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The Viesus app connector for CrewAI 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

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Viesus Specialist",
    goal="Help users interact with Viesus effectively",
    backstory=(
        "You are an expert at leveraging Viesus 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 Viesus "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

Connect your Viesus account to any AI agent and simplify your professional image processing and enhancement workflows through natural conversation.

When paired with CrewAI, Viesus becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Viesus 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

  • 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 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 12 Viesus tools available for CrewAI

When CrewAI 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.

check_api_health

Verify Viesus API status

enhance_image_ai

Apply AI enhancement to an image

get_account_credit_balance

Check remaining API credits

get_api_version_info

Retrieve API version details

get_enhanced_image_url

Retrieve the final image download link

get_enhancement_job_status

Check the status of an enhancement job

get_image_metadata

Retrieve technical metadata for an image

list_configured_webhooks

List active webhooks

list_enhancement_presets

List available enhancement configurations

list_processing_history

List recent image processing jobs

list_supported_file_formats

List supported image formats

upload_image_to_viesus

Upload an image for processing

Connect Viesus to CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Viesus

Why Use CrewAI with the Viesus MCP Server

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

01

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

02

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

03

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

04

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

Viesus + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Viesus in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Viesus immediately.

01

"Check my Viesus credit balance."

02

"Enhance image 'img_12903' using the 'standard-high' preset."

03

"Show me the technical metadata for the image I just uploaded."

Troubleshooting Viesus MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Viesus + CrewAI FAQ

Common questions about integrating Viesus MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.