Bring Portfolio Management
to LlamaIndex
Learn how to connect Dribbble to LlamaIndex 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 LlamaIndex?
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.
- —
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 in LlamaIndex
Dribbble and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dribbble to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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