Uniconta MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Uniconta 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 Uniconta. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Uniconta?"
)
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 Uniconta MCP Server
Connect your Uniconta ERP to any AI agent and take full enterprise control over global accounting ledgers, debtor/creditor relationships, and billing tracking securely natively via chat.
LlamaIndex agents combine Uniconta tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Client & Debtor Tracking — List actively registered customers grabbing exact RowIDs or drill down into metadata isolating specific contact profiles via
get_debtor_details - Invoicing & Billing Audits — Fetch hundreds of active invoices tracking open debtor balances globally without manual filtering through ERP dashboards
- General Ledger (GL) Supervision — Query daily journals pulling transaction histories checking if the books map accurately
- Inventory Verification — Monitor product catalogs recovering item records, prices, and available stock configurations simultaneously
The Uniconta MCP Server exposes 8 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 Uniconta to LlamaIndex via MCP
Follow these steps to integrate the Uniconta 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 8 tools from Uniconta
Why Use LlamaIndex with the Uniconta MCP Server
LlamaIndex provides unique advantages when paired with Uniconta through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Uniconta tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Uniconta tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Uniconta, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Uniconta tools were called, what data was returned, and how it influenced the final answer
Uniconta + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Uniconta MCP Server delivers measurable value.
Hybrid search: combine Uniconta real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Uniconta 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 Uniconta for fresh data
Analytical workflows: chain Uniconta queries with LlamaIndex's data connectors to build multi-source analytical reports
Uniconta MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Uniconta to LlamaIndex via MCP:
get_debtor_details
Retrieves details for a specific debtor
list_creditors
Lists all creditors (vendors) registered in the ERP
list_daily_journals
Lists all General Ledger daily journals
list_debtor_invoices
Lists all debtor invoices issued by the company
list_debtors
Lists all debtors (customers) registered in the ERP
list_employees
Lists all employees registered in the Uniconta account
list_gl_accounts
Lists all General Ledger (GL) accounts in Uniconta
list_inventory_items
Lists all inventory items in the product catalog
Example Prompts for Uniconta in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Uniconta immediately.
"Please provide the exact unformatted list of debtors actively open on this company's Uniconta profile."
"Look up our daily general ledger journals using the API."
"Fetch the metadata and details of Debtor ID 993 running in Uniconta."
Troubleshooting Uniconta MCP Server with LlamaIndex
Common issues when connecting Uniconta to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUniconta + LlamaIndex FAQ
Common questions about integrating Uniconta 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 Uniconta 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 Uniconta to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.