Dribbble MCP Server for CrewAIGive CrewAI instant access to 15 tools to Create Attachment, Create Job, Create Project, and more

Name: Dribbble
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Dribbble MCP Server for CrewAI is a standout in the Productivity category — giving your AI agent 15 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dribbble Specialist",
    goal="Help users interact with Dribbble effectively",
    backstory=(
        "You are an expert at leveraging Dribbble 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 Dribbble "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 15 available tools "
        "and what they can do."
    ),
)

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

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About Dribbble MCP Server

Connect your Dribbble account to any AI agent to streamline your creative workflow and portfolio management through natural conversation.

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

Shot Management — List, retrieve, create, update, and delete shots using list_user_shots, get_shot, create_shot, update_shot, and delete_shot to keep your portfolio fresh.
Project Organization — Create and manage projects with create_project, list_projects, and update_project to categorize your creative work effectively.
Profile Insights — Access your authenticated user details, bio, and team associations via get_user.
Attachments — Add or remove high-resolution attachments for your shots using create_attachment and delete_attachment (requires Pro/Team membership).
Job Tracking — Manage job-related data and updates directly through create_job, update_job, and get_job tools.

The Dribbble MCP Server exposes 15 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Dribbble tools available for CrewAI

When CrewAI connects to Dribbble through Vinkius, your AI agent gets direct access to every tool listed below — spanning portfolio-management, creative-workflow, design-showcase, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create attachment on Dribbble

Requires upload scope and Pro/Team membership. Create an attachment for a shot

create

Create job on Dribbble

Note: Requires a special token. Contact Dribbble for partnership. Create a job

create

Create project on Dribbble

Create a new project

create

Create shot on Dribbble

Requires upload scope. Note: Video shot creation is not supported via API. Create a new shot

delete

Delete attachment on Dribbble

Requires upload scope. Delete an attachment

delete

Delete project on Dribbble

Delete a project

delete

Delete shot on Dribbble

Requires upload scope. Delete a shot

get

Get job on Dribbble

Note: Requires a special token. Show a job

get

Get shot on Dribbble

Get a specific shot

get

Get user on Dribbble

Get the authenticated user

list

List projects on Dribbble

List projects

list

List user shots on Dribbble

List the authenticated user’s shots

update

Update job on Dribbble

Note: Requires a special token. Update a job

update

Update project on Dribbble

Update a project

update

Update shot on Dribbble

Requires upload scope. Update an existing shot

Connect Dribbble to CrewAI via MCP

Follow these steps to wire Dribbble into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind 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 15 tools from Dribbble

Why Use CrewAI with the Dribbble MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Dribbble 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

Dribbble + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Dribbble 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 Dribbble, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Dribbble 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 Dribbble against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Dribbble in CrewAI

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

"Retrieve my Dribbble profile information."

"List the shots I have currently published."

"Create a new project called 'Brand Identity 2024'."

Troubleshooting Dribbble MCP Server with CrewAI

Common issues when connecting Dribbble to CrewAI through 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.

Dribbble + CrewAI FAQ

Common questions about integrating Dribbble 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.

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