How do I find my Pixso Client ID and Secret?

Log in to the Pixso Enterprise Management console, navigate to [OpenAPI Management] → [Application Details], and you will find your Client ID and Client Secret there.

What is a 'fileKey' in Pixso?

The `fileKey` is the unique identifier found in the URL of your Pixso design file. It typically appears after `/file/` in the browser address bar.

Can I read design node information through the agent?

Yes. Use the `list_nodes` tool with the file key and optional node IDs to retrieve detailed data about frames, layers, and their properties.

Pixso MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Pixso
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Pixso. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About Pixso MCP Server

Empower your AI agent to orchestrate your design workflow with Pixso, the leading professional design tool for team collaboration. By connecting Pixso to your agent, you transform complex design file navigation and project coordination into a natural conversation. Your agent can instantly list your files, retrieve design nodes (frames and layers), audit style libraries, and even browse version history without you ever needing to navigate the complex design workspace. Whether you are managing a large-scale design system or a specific UI project, your agent acts as a real-time design assistant, keeping your assets organized and your team aligned.

LlamaIndex agents combine Pixso tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

File Orchestration — List all accessible design files and projects across your Pixso workspace.
Node Management — Retrieve granular design nodes and layers to understand your UI structure instantly.
Team Coordination — Browse teams and projects to manage collaboration and assignments effectively.
Collaboration Monitoring — List file comments and organization members to stay informed about team updates.
Style Auditing — List defined design styles, including colors and typography, across your files.
Version Control — Check the version history of design files to track changes and milestones.

The Pixso MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Pixso to LlamaIndex via MCP

Follow these steps to integrate the Pixso MCP Server with LlamaIndex.

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 10 tools from Pixso

Why Use LlamaIndex with the Pixso MCP Server

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

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

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

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

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

Pixso + LlamaIndex Use Cases

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

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

Data enrichment: query Pixso 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 Pixso for fresh data

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

Pixso MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Pixso to LlamaIndex via MCP:

get_comments

Get file comments

get_file

Get design file details

get_file_versions

Get file version history

get_org_members

List organization members

get_project_files

Get project files

list_files

List all Pixso design files

list_nodes

List nodes in a design file

list_styles

List file styles

list_team_projects

List team projects

list_teams

List available teams

Example Prompts for Pixso in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Pixso immediately.

"List all design files in my Pixso workspace."

"Show me the comments for file 'pix-8821'."

"Retrieve the style library for design file 'branding-assets'."

Troubleshooting Pixso MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pixso + LlamaIndex FAQ

Common questions about integrating Pixso 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.