TCE-SP (Audesp) MCP Server for LlamaIndexGive LlamaIndex instant access to 3 tools to List Despesas, List Municipios, List Receitas

Name: TCE-SP (Audesp)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TCE-SP (Audesp) 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 TCE-SP (Audesp) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 3 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 TCE-SP (Audesp). "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in TCE-SP (Audesp)?"
    )
    print(response)

asyncio.run(main())

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About TCE-SP (Audesp) MCP Server

Connect to the TCE-SP Audesp system to audit and analyze public spending across municipalities in the state of São Paulo. This server provides direct access to the official transparency portal data.

LlamaIndex agents combine TCE-SP (Audesp) tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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

Municipality Lookup — List all cities under TCE-SP jurisdiction and retrieve their unique slugs for precise querying
Expense Analysis — Fetch detailed expense (despesas) records for any municipality, filtered by fiscal year and month
Revenue Tracking — Access revenue (receitas) data to monitor municipal collections and budget performance
Fiscal Auditing — Use AI to compare spending patterns and identify fiscal trends across different periods

The TCE-SP (Audesp) MCP Server exposes 3 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 3 TCE-SP (Audesp) tools available for LlamaIndex

When LlamaIndex connects to TCE-SP (Audesp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning transparency, public-spending, fiscal-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.

list

List despesas on TCE-SP (Audesp)

List expenses for a specific municipality, year, and month

list

List municipios on TCE-SP (Audesp)

List all municipalities under TCE-SP jurisdiction

list

List receitas on TCE-SP (Audesp)

List revenues for a specific municipality, year, and month

Connect TCE-SP (Audesp) to LlamaIndex via MCP

Follow these steps to wire TCE-SP (Audesp) 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 3 tools from TCE-SP (Audesp)

Why Use LlamaIndex with the TCE-SP (Audesp) MCP Server

LlamaIndex provides unique advantages when paired with TCE-SP (Audesp) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine TCE-SP (Audesp) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain TCE-SP (Audesp) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query TCE-SP (Audesp), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what TCE-SP (Audesp) tools were called, what data was returned, and how it influenced the final answer

TCE-SP (Audesp) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the TCE-SP (Audesp) MCP Server delivers measurable value.

Hybrid search: combine TCE-SP (Audesp) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query TCE-SP (Audesp) 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 TCE-SP (Audesp) for fresh data

Analytical workflows: chain TCE-SP (Audesp) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for TCE-SP (Audesp) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with TCE-SP (Audesp) immediately.

"List all municipalities available in the TCE-SP system."

"Show me the expenses for the municipality of 'santos' in January 2023."

"What were the revenues for 'campinas' in the year 2022, month 12?"

Troubleshooting TCE-SP (Audesp) MCP Server with LlamaIndex

Common issues when connecting TCE-SP (Audesp) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TCE-SP (Audesp) + LlamaIndex FAQ

Common questions about integrating TCE-SP (Audesp) 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 TCE-SP (Audesp) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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