Bring Portfolio Management
to CrewAI
Learn how to connect Dribbble to CrewAI and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dribbble MCP Server?
Connect your Dribbble account to any AI agent to streamline your creative workflow and portfolio management through natural conversation.
What you can do
- Shot Management — List, retrieve, create, update, and delete shots using
list_user_shots,get_shot,create_shot,update_shot, anddelete_shotto keep your portfolio fresh. - Project Organization — Create and manage projects with
create_project,list_projects, andupdate_projectto 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_attachmentanddelete_attachment(requires Pro/Team membership). - Job Tracking — Manage job-related data and updates directly through
create_job,update_job, andget_jobtools.
How it works
- Subscribe to this server
- Enter your Dribbble Personal Access Token
- Start managing your creative assets from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Designers — upload and update shots without leaving your design environment or code editor.
- Creative Directors — organize team projects and review portfolio statuses via natural language.
- Marketing Teams — quickly retrieve assets and metadata for social media or campaign planning.
Built-in capabilities (15)
Requires upload scope and Pro/Team membership. Create an attachment for a shot
Note: Requires a special token. Contact Dribbble for partnership. Create a job
Create a new project
Requires upload scope. Note: Video shot creation is not supported via API. Create a new shot
Requires upload scope. Delete an attachment
Delete a project
Requires upload scope. Delete a shot
Note: Requires a special token. Show a job
Get a specific shot
Get the authenticated user
List projects
List the authenticated user’s shots
Note: Requires a special token. Update a job
Update a project
Requires upload scope. Update an existing shot
Why CrewAI?
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.
- —
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
mcpsparameter 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 in CrewAI
Dribbble and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dribbble to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Dribbble in CrewAI
The Dribbble 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. All 15 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Dribbble for CrewAI
Every tool call from CrewAI to the Dribbble MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I upload a new design to Dribbble using this tool?
Yes! Use the create_shot tool. You can provide an image URL or file data, along with a title and description, to publish a new shot to your profile instantly.
How do I organize my work into different collections?
You can use the create_project and list_projects tools to manage your Dribbble projects, allowing you to categorize your shots and keep your portfolio organized.
Is it possible to add high-resolution files to my shots?
Yes, if you have a Pro or Team account, you can use the create_attachment tool to add files (up to 10MB) to any of your existing shots.
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.
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.
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