Relay Workflow Automation MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Relay Workflow Automation 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 Relay Workflow Automation. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Relay Workflow Automation?"
)
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 Relay Workflow Automation MCP Server
Connect Relay to any AI agent and automate your business workflows -- list available workflows, trigger executions with dynamic inputs, monitor run statuses, and cancel active runs through natural conversation.
LlamaIndex agents combine Relay Workflow Automation tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Workflow Discovery -- List and inspect all configured workflows in your account
- Trigger Execution -- Start workflows with custom input variables
- Run Monitoring -- Check progress and results of active and completed runs
- Run Management -- Cancel in-progress workflows when needed
The Relay Workflow Automation MCP Server exposes 6 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 Relay Workflow Automation to LlamaIndex via MCP
Follow these steps to integrate the Relay Workflow Automation 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 6 tools from Relay Workflow Automation
Why Use LlamaIndex with the Relay Workflow Automation MCP Server
LlamaIndex provides unique advantages when paired with Relay Workflow Automation through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Relay Workflow Automation tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Relay Workflow Automation tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Relay Workflow Automation, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Relay Workflow Automation tools were called, what data was returned, and how it influenced the final answer
Relay Workflow Automation + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Relay Workflow Automation MCP Server delivers measurable value.
Hybrid search: combine Relay Workflow Automation real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Relay Workflow Automation 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 Relay Workflow Automation for fresh data
Analytical workflows: chain Relay Workflow Automation queries with LlamaIndex's data connectors to build multi-source analytical reports
Relay Workflow Automation MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Relay Workflow Automation to LlamaIndex via MCP:
cancel_run
Only works on runs that are still in progress. Cancel an in-progress workflow run
get_run_status
Get the current status of a workflow run
get_workflow
Get details of a specific workflow
list_runs
List recent workflow runs
list_workflows
Use this to discover available automations before running them. List all workflows in your Relay account
run_workflow
Provide a JSON object of input variables required by the workflow. Trigger a workflow execution with optional inputs
Example Prompts for Relay Workflow Automation in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Relay Workflow Automation immediately.
"List all my workflows."
"Run the 'Customer Onboarding' workflow with inputs {email: 'john@example.com', name: 'John Doe'}."
"Check the status of run run_abc123."
Troubleshooting Relay Workflow Automation MCP Server with LlamaIndex
Common issues when connecting Relay Workflow Automation to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRelay Workflow Automation + LlamaIndex FAQ
Common questions about integrating Relay Workflow Automation 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 Relay Workflow Automation 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 Relay Workflow Automation to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.