Dribbble MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Dribbble through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Dribbble MCP Server for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dribbble": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dribbble, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Dribbble through native MCP adapters. Connect 15 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 15 tools from Dribbble via MCP

Why Use LangChain with the Dribbble MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Dribbble MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Dribbble queries for multi-turn workflows

Dribbble + LangChain Use Cases

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

RAG with live data: combine Dribbble tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Dribbble, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Dribbble tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Dribbble tool call, measure latency, and optimize your agent's performance

Example Prompts for Dribbble in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dribbble + LangChain FAQ

Common questions about integrating Dribbble MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.