Bring Portfolio Management
to Pydantic AI
Learn how to connect Dribbble to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every Dribbble tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dribbble integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your Dribbble connection logic from agent behavior for testable, maintainable code
Dribbble in Pydantic AI
Dribbble and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dribbble to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Dribbble MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
Explore More MCP Servers
View all →
GitHub
12 toolsManage repositories, track issues, and search code via AI agents with GitHub.
Woodpecker CI
34 toolsManage your Woodpecker CI instance — control pipelines, monitor agents, and configure repositories directly from your AI agent.
Circadian REM Sleep Cycle Optimizer
4 toolsHarmonize your workflow with biological data. Calculate optimal wake-up times and bedtimes respecting 90-minute REM sleep phases for peak chronotype management.
OpenAlex
5 toolsAccess 250M+ scholarly works with open bibliometric data — search papers, authors, institutions, and trending research topics. The open-source alternative to Scopus and Web of Science.