Alegra MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Contact, Create Invoice, Get Company Info, and more
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 App Connector for LlamaIndex
The Alegra app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 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 Alegra. "
"You have 11 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 any AI agent and simplify how you manage your professional billing, customer directory, and inventory through natural conversation.
LlamaIndex agents combine Alegra tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Billing Management — Create, list, and inspect sales invoices with detailed status tracking (open, paid, overdue).
- Customer & Supplier CRM — Manage your contacts, update profile data, and check individual transaction histories.
- Inventory Control — Query your product and service catalog to monitor stock levels and pricing metadata.
- Financial Oversight — Monitor received payments and track sales estimates/quotes sent to potential clients.
- Organization Insights — Retrieve company metadata and verify account configurations directly from the agent.
- Operational Monitoring — Check connectivity and manage your commercial ecosystem without leaving your workspace.
The Alegra MCP Server exposes 11 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 11 Alegra tools available for LlamaIndex
When LlamaIndex connects to Alegra through Vinkius, your AI agent gets direct access to every tool listed below — spanning billing-software, inventory-management, invoicing, 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.
Create a new contact in Alegra
Create a new sales invoice
Get Alegra company information
Get details of a specific contact
Get details of a specific invoice
Get details of an inventory item
List Alegra contacts (clients and suppliers)
List estimates/quotes
List products and services
List sales invoices in Alegra
List recorded payments
Connect Alegra to LlamaIndex via MCP
Follow these steps to wire Alegra into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 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
Example Prompts for Alegra in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Alegra immediately.
"List all active invoices in my Alegra account."
"Show me the details for contact 'John Doe' (ID: 10293)."
"What is the stock level for 'Professional Desk'?"
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.