Sergipe Dados Abertos MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Get Despesas, Get Orcamento, Get Receitas, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sergipe Dados Abertos 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 Sergipe Dados Abertos MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 4 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 Sergipe Dados Abertos. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Sergipe Dados Abertos?"
)
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 Sergipe Dados Abertos MCP Server
Connect to the Sergipe Transparency Portal and query official government data through natural conversation. This server provides direct access to the open data infrastructure of the State of Sergipe, Brazil.
LlamaIndex agents combine Sergipe Dados Abertos tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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
- Expenditures (Despesas) — Query detailed state spending, including payments to suppliers, sub-elements, and inter-governmental transfers by fiscal year.
- Revenues (Receitas) — Monitor state collection, including tax revenue (ICMS, IPVA) and federal transfers with specific date ranges.
- Personnel (Servidores) — Access information about the state workforce, including active and retired employees, positions, and salary data.
- Budget (Orçamento) — Inspect the Annual Budget Law (LOA) and track real-time budget execution for any given fiscal year.
The Sergipe Dados Abertos MCP Server exposes 4 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 4 Sergipe Dados Abertos tools available for LlamaIndex
When LlamaIndex connects to Sergipe Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-spending, transparency, open-data, 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 despesas on Sergipe Dados Abertos
Get state expenditures (Despesas)
Get orcamento on Sergipe Dados Abertos
Get budget data (Orçamento)
Get receitas on Sergipe Dados Abertos
Get state revenues (Receitas)
Get servidores on Sergipe Dados Abertos
Get personnel information (Servidores)
Connect Sergipe Dados Abertos to LlamaIndex via MCP
Follow these steps to wire Sergipe Dados Abertos 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 Sergipe Dados Abertos MCP Server
LlamaIndex provides unique advantages when paired with Sergipe Dados Abertos through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Sergipe Dados Abertos tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Sergipe Dados Abertos tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Sergipe Dados Abertos, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Sergipe Dados Abertos tools were called, what data was returned, and how it influenced the final answer
Sergipe Dados Abertos + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Sergipe Dados Abertos MCP Server delivers measurable value.
Hybrid search: combine Sergipe Dados Abertos real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Sergipe Dados Abertos 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 Sergipe Dados Abertos for fresh data
Analytical workflows: chain Sergipe Dados Abertos queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Sergipe Dados Abertos in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Sergipe Dados Abertos immediately.
"Show me the state expenditures for Sergipe in 2023."
"What were the total revenues collected between January and March 2024?"
"List the active personnel in the state government for the last available month."
Troubleshooting Sergipe Dados Abertos MCP Server with LlamaIndex
Common issues when connecting Sergipe Dados Abertos to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSergipe Dados Abertos + LlamaIndex FAQ
Common questions about integrating Sergipe Dados Abertos 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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