Compatible with every major AI agent and IDE
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 Vercel AI SDK?
The Vercel AI SDK gives every Dribbble tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 15 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Dribbble integration everywhere
- —
Built-in streaming UI primitives let you display Dribbble tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Dribbble in Vercel AI SDK
Dribbble and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dribbble to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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