Sauce Labs MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sauce Labs as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Sauce Labs. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Sauce Labs?"
)
print(response)
asyncio.run(main())
* 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 Sauce Labs MCP Server
Connect your Sauce Labs account to any AI agent to bring your entire test execution landscape directly into your chat workflow. Say goodbye to jumping between CI/CD tools and the Sauce Labs dashboard to investigate failures.
LlamaIndex agents combine Sauce Labs tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Jobs & Builds — Check the status of recent test builds, drill down into specific job results, and monitor pass/fail ratios
- Incident Management — Programmatically stop hung or failing jobs to free up test concurrency limits instantly
- Infrastructure Metrics — Check your active Sauce Connect tunnels, current account activity, and real-time concurrency metrics
- Platform Support — Browse supported OS and browser combinations (Appium, WebDriver) directly through the agent
The Sauce Labs MCP Server exposes 11 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 Sauce Labs to LlamaIndex via MCP
Follow these steps to integrate the Sauce Labs 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 11 tools from Sauce Labs
Why Use LlamaIndex with the Sauce Labs MCP Server
LlamaIndex provides unique advantages when paired with Sauce Labs through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Sauce Labs tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Sauce Labs tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Sauce Labs, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Sauce Labs tools were called, what data was returned, and how it influenced the final answer
Sauce Labs + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Sauce Labs MCP Server delivers measurable value.
Hybrid search: combine Sauce Labs real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Sauce Labs 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 Sauce Labs for fresh data
Analytical workflows: chain Sauce Labs queries with LlamaIndex's data connectors to build multi-source analytical reports
Sauce Labs MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Sauce Labs to LlamaIndex via MCP:
get_activity
Retrieves current account activity levels
get_build
Retrieves details for a specific build
get_build_jobs
Lists all individual jobs within a specific build
get_concurrency
Retrieves account concurrency limits
get_job
Retrieves details for a specific test job
get_status
Checks current Sauce Labs platform availability
list_builds
Lists recent automation builds
list_jobs
). Lists recent test jobs on Sauce Labs
list_platforms
Specify all, appium, or webdriver. Lists all supported OS and browser combinations
list_tunnels
Lists active Sauce Connect tunnels
stop_job
Stops a running test job
Example Prompts for Sauce Labs in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Sauce Labs immediately.
"What is our current concurrency usage vs limit in Sauce Labs?"
"Show me the jobs that failed in my last automation build."
"Stop the test job ID 4f4f391e0 because it's stuck."
Troubleshooting Sauce Labs MCP Server with LlamaIndex
Common issues when connecting Sauce Labs to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSauce Labs + LlamaIndex FAQ
Common questions about integrating Sauce Labs MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Sauce Labs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sauce Labs to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.