PHC GO MCP Server for LlamaIndex 16 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PHC GO as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 PHC GO. "
"You have 16 tools available."
),
)
response = await agent.run(
"What tools are available in PHC GO?"
)
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 PHC GO MCP Server
Connect your PHC GO enterprise ecosystem to your AI agent and manage operations, invoicing, and logistics through natural language commands natively.
LlamaIndex agents combine PHC GO tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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
- Entity Management — Retrieve master data such as
list_customersand nativelycreate_customerdirectly from your chat context. - Inventory & Logistics — Pull active article sheets with
list_products, or audit material counts instantly usinglist_stocksandlist_warehouses. - Billing & Finance — Dynamically execute the
create_documentendpoint to issue invoices/estimates, and reconcile usinglist_current_accountsandlist_taxes. - Sales Ecosystem — Quickly fetch configuration records like
list_seriesandlist_payment_methodsto standardize business logic via intelligent agents.
The PHC GO MCP Server exposes 16 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 PHC GO to LlamaIndex via MCP
Follow these steps to integrate the PHC GO 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 16 tools from PHC GO
Why Use LlamaIndex with the PHC GO MCP Server
LlamaIndex provides unique advantages when paired with PHC GO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PHC GO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PHC GO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PHC GO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PHC GO tools were called, what data was returned, and how it influenced the final answer
PHC GO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PHC GO MCP Server delivers measurable value.
Hybrid search: combine PHC GO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PHC GO 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 PHC GO for fresh data
Analytical workflows: chain PHC GO queries with LlamaIndex's data connectors to build multi-source analytical reports
PHC GO MCP Tools for LlamaIndex (16)
These 16 tools become available when you connect PHC GO to LlamaIndex via MCP:
create_customer
Criar um novo cliente/entidade no PHC GO
create_document
Criar um novo documento comercial no PHC GO (fatura, orçamento, encomenda, etc)
create_product
Criar um novo artigo ou serviço no PHC GO
get_customer_details
Obter detalhes completos de um cliente/entidade pelo ID
get_document_details
Obter detalhes completos de um documento comercial (fatura, nota crédito, recibo, etc) incluindo linhas
get_product_details
Obter detalhes de um artigo/serviço pelo ID
list_current_accounts
Consultar a conta corrente de clientes (saldos e movimentos pendentes)
list_customers
Listar todas as entidades/clientes registados no PHC GO
list_documents
Listar documentos comerciais do PHC GO por tipo (FT=Fatura, NC=Nota Crédito, RC=Recibo, ORC=Orçamento, ECL=Encomenda, GR=Guia Remessa)
list_payment_methods
Listar métodos de pagamento configurados (Transferência, MB, MBWay, Cheque)
list_products
Listar todos os artigos e serviços registados no PHC GO
list_series
Listar séries de numeração de documentos (FT 2026/, NC 2026/, etc)
list_stocks
Consultar movimentos de stock. Opcionalmente filtrar por artigo
list_taxes
Listar taxas de IVA e impostos configurados no PHC GO
list_warehouses
Listar armazéns configurados para gestão de stock
search_customers
Pesquisar clientes por nome, NIF ou código
Example Prompts for PHC GO in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PHC GO immediately.
"Check the available stock for 'Macbook Pro M3' across all warehouses."
"Create a new customer profile for 'Acme Corp' and fetch their assigned customer ID."
"Examine our outstanding current accounts from January to spot pending vendor debts."
Troubleshooting PHC GO MCP Server with LlamaIndex
Common issues when connecting PHC GO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPHC GO + LlamaIndex FAQ
Common questions about integrating PHC GO 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 PHC GO 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 PHC GO to LlamaIndex
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.