Aracaju MCP Server for LlamaIndexGive LlamaIndex instant access to 5 tools to List Bids, List Contracts, List Expenses, and more

Name: Aracaju
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Aracaju 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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The Aracaju MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 5 tools to work with, ready to go from day one.

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python

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 Aracaju. "
            "You have 5 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Aracaju?"
    )
    print(response)

asyncio.run(main())

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* 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 Aracaju MCP Server

Connect to the Aracaju Transparency Portal to audit and analyze public data from the capital of Sergipe, Brazil. This server allows any AI agent to query municipal financial records and administrative data in real-time.

LlamaIndex agents combine Aracaju tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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

Revenues & Income — List and analyze municipality revenues by fiscal year and month to track tax collection and transfers.
Public Spending — Query detailed expenses (despesas) by year or specific government bodies to monitor how public funds are allocated.
Tenders & Bids — Access information on public tenders (licitações) to stay informed about government procurement processes.
Contracts — Inspect signed contracts and agreements between the municipality and third parties.
Personnel & Payroll — Retrieve data regarding public servants and payroll (servidores) to ensure administrative transparency.

The Aracaju MCP Server exposes 5 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 5 Aracaju tools available for LlamaIndex

When LlamaIndex connects to Aracaju through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, aracaju, 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.

list

List bids on Aracaju

List public tenders and bids (licitações)

list

List contracts on Aracaju

List signed contracts (contratos)

list

List expenses on Aracaju

List municipality expenses (despesas)

list

List personnel on Aracaju

List public servants and payroll (servidores)

list

List revenues on Aracaju

List municipality revenues (receitas)

Connect Aracaju to LlamaIndex via MCP

Follow these steps to wire Aracaju into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 5 tools from Aracaju

Why Use LlamaIndex with the Aracaju MCP Server

LlamaIndex provides unique advantages when paired with Aracaju through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Aracaju tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Aracaju tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Aracaju, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Aracaju tools were called, what data was returned, and how it influenced the final answer

Aracaju + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Aracaju MCP Server delivers measurable value.

Hybrid search: combine Aracaju real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Aracaju 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 Aracaju for fresh data

Analytical workflows: chain Aracaju queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Aracaju in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Aracaju immediately.

"List the revenues for Aracaju in January 2024."

"Show me the latest public bids in the city."

"What are the expenses for the health department in 2023?"

Troubleshooting Aracaju MCP Server with LlamaIndex

Common issues when connecting Aracaju to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Aracaju + LlamaIndex FAQ

Common questions about integrating Aracaju MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Aracaju tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.