Dribbble MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Dribbble as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Dribbble MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Dribbble. "
            "You have 15 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Dribbble tool responses with indexed documents for comprehensive, grounded answers. Connect 15 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Dribbble MCP Server

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

Data-first architecture: LlamaIndex agents combine Dribbble tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Dribbble tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Dribbble, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Dribbble tools were called, what data was returned, and how it influenced the final answer

Dribbble + LlamaIndex Use Cases

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

Hybrid search: combine Dribbble real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Dribbble to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Dribbble for fresh data

Analytical workflows: chain Dribbble queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Dribbble in LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Dribbble + LlamaIndex FAQ

Common questions about integrating Dribbble MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Dribbble tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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