Dribbble MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dribbble through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Dribbble "
            "(15 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dribbble?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Dribbble MCP Server

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

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.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

Follow these steps to wire Dribbble into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 15 tools from Dribbble with type-safe schemas

Why Use Pydantic AI with the Dribbble MCP Server

Pydantic AI provides unique advantages when paired with Dribbble through the Model Context Protocol.

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 + Pydantic AI Use Cases

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

Type-safe data pipelines: query Dribbble with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Dribbble tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Dribbble and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Dribbble responses and write comprehensive agent tests

Example Prompts for Dribbble in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Dribbble to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dribbble + Pydantic AI FAQ

Common questions about integrating Dribbble MCP Server with Pydantic AI.

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.