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Vinkius runs on LlamaIndex

How to Use the PHC GO MCP in LlamaIndex

Index your entire PHC GO database into LlamaIndex for semantic search and grounded document generation.

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Works with every AI agent you already use

…and any MCP-compatible client

PHC GO MCP on Cursor AI Code Editor MCP Client PHC GO MCP on Claude Desktop App MCP Integration PHC GO MCP on OpenAI Agents SDK MCP Compatible PHC GO MCP on Visual Studio Code MCP Extension Client PHC GO MCP on GitHub Copilot AI Agent MCP Integration PHC GO MCP on Google Gemini AI MCP Integration PHC GO MCP on Lovable AI Development MCP Client PHC GO MCP on Mistral AI Agents MCP Compatible PHC GO MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LlamaIndex

Connect PHC GO MCP to LlamaIndex

Create your Vinkius account to connect PHC GO to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Semantic indexing for PHC GO data

Convert your ERP output into a searchable knowledge base within LlamaIndex. By running `list_products` and indexing the results, your agent understands your catalog semantically rather than just by ID. This allows for natural language queries against your inventory. You move beyond simple lookups and start answering complex questions about product availability and specifications.

Grounded document creation in LlamaIndex

Avoid hallucinations by forcing your agent to query `get_product_details` and `list_taxes` before it generates any document. LlamaIndex keeps these API results in context for the final output. Your agent builds accurate invoices by pulling live data from the ERP. It references the index to ensure that every tax rate and product description matches your current system state.

Unified knowledge access for PHC GO

Combine your private documents with live ERP information using the MCP tool spec. You query the index to retrieve historical data while simultaneously calling `list_current_accounts` for real-time status. This creates a single source of truth for your agent. It balances static business knowledge with the dynamic, real-time data coming directly from your ERP environment.

Setup guide

Set up PHC GO MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all PHC GO MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to PHC GO tools.",
)
response = await agent.run("List recent PHC GO data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PHC GO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about PHC GO MCP in LlamaIndex

The server tools are converted into a spec that LlamaIndex uses to fetch and store data. It treats the ERP responses as part of the knowledge base for your RAG applications.
Absolutely. Use the allowed_tools filter during agent setup to restrict access. This ensures your agent only interacts with specific endpoints like `list_stocks`.
LlamaIndex caches the results of tool calls into your vector store. This provides fast access to historical ERP data without needing to re-query the API every time.
Every request is ephemeral. The server requires a dedicated endpoint token, and LlamaIndex only processes the specific data you authorize through the MCP tool spec.
Yes, it accesses customer profiles and NIF numbers. The server ensures this data is retrieved only when an agent needs it to fulfill a specific user query.

Start using the PHC GO MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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