Alegra MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Alegra 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
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 Alegra. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Alegra?"
)
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 Alegra MCP Server
Connect your Alegra account to your AI agent to unlock professional business management and automated invoicing. From creating and auditing sales invoices to monitoring real-time inventory levels and managing client/provider contact profiles, your agent handles your back-office operations through natural conversation.
LlamaIndex agents combine Alegra 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
- Invoicing Orchestration — List, retrieve, and create professional sales invoices with tax compliance
- Inventory Management — Monitor stock levels for products and services and retrieve technical metadata for items
- Contact Oversight — List and manage client and provider profiles, ensuring your business network is always updated
- Payment & Estimates — List payments and retrieve business estimates (cotizaciones) to track your revenue pipeline
- Financial Insights — Quickly identify overdue invoices or low-stock items directly from your chat interface
The Alegra 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.
How to Connect Alegra to LlamaIndex via MCP
Follow these steps to integrate the Alegra 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 10 tools from Alegra
Why Use LlamaIndex with the Alegra MCP Server
LlamaIndex provides unique advantages when paired with Alegra through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Alegra tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Alegra tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Alegra, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Alegra tools were called, what data was returned, and how it influenced the final answer
Alegra + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Alegra MCP Server delivers measurable value.
Hybrid search: combine Alegra real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Alegra 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 Alegra for fresh data
Analytical workflows: chain Alegra queries with LlamaIndex's data connectors to build multi-source analytical reports
Alegra MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Alegra to LlamaIndex via MCP:
create_contact
Add a new contact
create_invoice
Add a new sales invoice
get_contact_details
Get contact metadata
get_invoice_details
Get invoice metadata
get_item_details
Get product metadata
list_contacts
List client/provider profiles
list_estimates
List business estimates
list_inventory_items
Check stock levels
list_invoices
Supports date filtering. List sales invoices
list_payments
List business payments
Example Prompts for Alegra in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Alegra immediately.
"List the last 5 invoices generated in Alegra."
"Show me the current stock for 'Office Chair v2'."
"List all contacts of type 'provider'."
Troubleshooting Alegra MCP Server with LlamaIndex
Common issues when connecting Alegra to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAlegra + LlamaIndex FAQ
Common questions about integrating Alegra 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 Alegra 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 Alegra to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.