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MPU-Manager MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Mpumanager Status, Create Appointment, Create Case, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MPU-Manager 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 MPU-Manager app connector for LlamaIndex is a standout in the Erp Operations 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 MPU-Manager. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
MPU-Manager
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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 MPU-Manager MCP Server

Connect your MPU-Manager account to any AI agent and take full control of your medical-psychological assessment (MPU) orchestration and automated case management through natural conversation.

LlamaIndex agents combine MPU-Manager 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

  • Client Case Orchestration — List and manage your entire database of client files programmatically, retrieving detailed case metadata and legal statuses
  • Appointment & Schedule Intelligence — Programmatically query and monitor assessment appointments to maintain a perfectly coordinated audit trail for your clinic
  • Assessment Architecture Monitoring — Access real-time status updates for ongoing MPU cases and track document submission progress directly through your agent
  • Metadata Management — Programmatically retrieve client identifiers and case history to maintain a perfectly coordinated digital archive
  • Operational Monitoring — Verify account-level API connectivity and monitor case management volume directly through your agent for perfectly coordinated service scaling

The MPU-Manager 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 MPU-Manager tools available for LlamaIndex

When LlamaIndex connects to MPU-Manager through Vinkius, your AI agent gets direct access to every tool listed below — spanning medical-assessment, case-management, appointment-scheduling, 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.

check_mpumanager_status

Verify MPU Manager API connectivity

create_appointment

Schedule an appointment

create_case

Create a new case

get_appointment

Get appointment details

get_case

Get case details

get_client

Get client details

list_appointments

List all appointments

list_cases

List all cases

list_clients

List all clients

list_reports

List case reports

Connect MPU-Manager to LlamaIndex via MCP

Follow these steps to wire MPU-Manager 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 MPU-Manager

Why Use LlamaIndex with the MPU-Manager MCP Server

LlamaIndex provides unique advantages when paired with MPU-Manager through the Model Context Protocol.

01

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

02

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

03

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

04

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

MPU-Manager + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the MPU-Manager MCP Server delivers measurable value.

01

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

02

Data enrichment: query MPU-Manager 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 MPU-Manager for fresh data

04

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

Example Prompts for MPU-Manager in LlamaIndex

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

01

"Show all active cases in my account."

02

"Schedule an appointment for case #4821 next Monday at 10am."

03

"List all clients registered in my account."

Troubleshooting MPU-Manager MCP Server with LlamaIndex

Common issues when connecting MPU-Manager to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MPU-Manager + LlamaIndex FAQ

Common questions about integrating MPU-Manager 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 MPU-Manager 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.