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

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LangChain is the leading Python framework for composable LLM applications. Connect TCE-SP (Audesp) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The TCE-SP (Audesp) MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tce-sp-audesp": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using TCE-SP (Audesp), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
TCE-SP (Audesp)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

LangChain's ecosystem of 500+ components combines seamlessly with TCE-SP (Audesp) through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

Follow these steps to wire TCE-SP (Audesp) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 3 tools from TCE-SP (Audesp) via MCP

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

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

01

The largest ecosystem of integrations, chains, and agents. combine TCE-SP (Audesp) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across TCE-SP (Audesp) queries for multi-turn workflows

TCE-SP (Audesp) + LangChain Use Cases

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

01

RAG with live data: combine TCE-SP (Audesp) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query TCE-SP (Audesp), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain TCE-SP (Audesp) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every TCE-SP (Audesp) tool call, measure latency, and optimize your agent's performance

Example Prompts for TCE-SP (Audesp) in LangChain

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

01

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

02

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

03

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

Troubleshooting TCE-SP (Audesp) MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

TCE-SP (Audesp) + LangChain FAQ

Common questions about integrating TCE-SP (Audesp) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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