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Robolytix MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Get Process, Get Run, Get Run Messages, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Robolytix 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 App Connector for LlamaIndex

The Robolytix app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

asyncio.run(main())
Robolytix
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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 Robolytix MCP Server

Connect your Robolytix account to any AI agent and take full control of your robotic process automation (RPA) analytics and performance orchestration through natural conversation. Robolytix provides a specialized platform for monitoring bot workflows and business process health, and this integration allows you to send sonar messages, track process runs, and manage automation metadata directly from your chat interface.

LlamaIndex agents combine Robolytix 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

  • Process & Sonar Orchestration — Trigger process 'sonars' programmatically to track starts, common steps, and end-of-process events across your automation stack.
  • Run Lifecycle Management — Access and monitor individual process runs and retrieve detailed metadata to ensure your bots are performing optimally directly from the AI interface.
  • Performance & Error Intelligence — Log process errors and retrieve real-time status updates via natural language to maintain high-quality automation uptime.
  • Process Discovery — List and search through your configured robotic processes to find the correct identifiers for orchestration.
  • Operational Monitoring — Track system activity and manage sonar metadata using simple AI commands to ensure your RPA analytics are always optimized.

The Robolytix 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.

All 10 Robolytix tools available for LlamaIndex

When LlamaIndex connects to Robolytix through Vinkius, your AI agent gets direct access to every tool listed below — spanning rpa-monitoring, process-automation, bot-performance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_process

Get details for a specific process

get_run

Get details for a specific process run

get_run_messages

Get all messages from a process run

get_stats

Get overall automation statistics

list_rpa_processes

List all RPA processes

list_runs

List all process runs

sonar_checkpoint

Send a "common" sonar message

sonar_end

Send an "end" sonar message

sonar_error

Send an "error" sonar message

sonar_start

Send a "start" sonar message

Connect Robolytix to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Robolytix

Why Use LlamaIndex with the Robolytix MCP Server

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

01

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

02

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

03

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

04

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

Robolytix + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Robolytix in LlamaIndex

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

01

"Log the start of process 'p-123' with run ID 'r-999'."

02

"Show me all RPA process runs from today with their success rates and execution times."

03

"Get the detailed message log for the last failed invoice processing run."

Troubleshooting Robolytix MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Robolytix + LlamaIndex FAQ

Common questions about integrating Robolytix MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Robolytix tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

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