eGestor ERP MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Get Contact, Get Product, Get Purchase, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add eGestor ERP 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 for LlamaIndex
The eGestor ERP MCP Server 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
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 eGestor ERP. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in eGestor ERP?"
)
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 eGestor ERP MCP Server
Connect your eGestor ERP account to any AI agent and manage your Brazilian small business operations through natural conversation.
LlamaIndex agents combine eGestor ERP 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
- Contact Management — List all clients and suppliers, and retrieve individual contact profiles with full commercial data
- Product Catalog — Browse your product inventory with prices, stock quantities, and categories
- Service Catalog — Manage service offerings with pricing and descriptions
- Sales Records — List all sales orders and inspect individual transactions with line items, totals, and payment status
- Purchase Records — Track purchase orders from suppliers with costs, quantities, and receiving status
The eGestor ERP MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 eGestor ERP tools available for LlamaIndex
When LlamaIndex connects to eGestor ERP through Vinkius, your AI agent gets direct access to every tool listed below — spanning small-business, fiscal-compliance, order-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get contact on eGestor ERP
Get a specific contact
Get product on eGestor ERP
Get a specific product
Get purchase on eGestor ERP
Get a specific purchase
Get sale on eGestor ERP
Get a specific sale
Get service on eGestor ERP
Get a specific service
List contacts on eGestor ERP
List all eGestor contacts
List products on eGestor ERP
List all products
List purchases on eGestor ERP
List all purchases
List sales on eGestor ERP
List all sales
List services on eGestor ERP
List all services
Connect eGestor ERP to LlamaIndex via MCP
Follow these steps to wire eGestor ERP into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the eGestor ERP MCP Server
LlamaIndex provides unique advantages when paired with eGestor ERP through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine eGestor ERP tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain eGestor ERP tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query eGestor ERP, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what eGestor ERP tools were called, what data was returned, and how it influenced the final answer
eGestor ERP + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the eGestor ERP MCP Server delivers measurable value.
Hybrid search: combine eGestor ERP real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query eGestor ERP 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 eGestor ERP for fresh data
Analytical workflows: chain eGestor ERP queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for eGestor ERP in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with eGestor ERP immediately.
"Show me all products with low stock (less than 10 units)."
"List all sales from this month and show me the total revenue."
"Show all clients who have purchased this quarter and their total spend."
Troubleshooting eGestor ERP MCP Server with LlamaIndex
Common issues when connecting eGestor ERP to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpeGestor ERP + LlamaIndex FAQ
Common questions about integrating eGestor ERP 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?
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