Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Subscribe to this server
- Enter your API access credentials or token
- Start querying public data from any MCP-compatible client like Claude or Cursor
Who is this for?
- Journalists & Researchers — quickly extract fiscal data for investigative reporting without manual portal navigation
- Public Managers — monitor municipal performance and compare budget execution against historical data
- Citizens & Activists — promote transparency by easily accessing how public resources are being allocated
Built-in capabilities (3)
List expenses for a specific municipality, year, and month
List all municipalities under TCE-SP jurisdiction
List revenues for a specific municipality, year, and month
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine TCE-SP (Audesp) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across TCE-SP (Audesp) queries for multi-turn workflows
TCE-SP (Audesp) in LangChain
TCE-SP (Audesp) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect TCE-SP (Audesp) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TCE-SP (Audesp) in LangChain
The TCE-SP (Audesp) 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. All 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
TCE-SP (Audesp) for LangChain
Every tool call from LangChain to the TCE-SP (Audesp) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find the correct name (slug) for a specific city?
Use the list_municipios tool. It returns a complete list of all municipalities under TCE-SP jurisdiction with their respective slugs needed for expense and revenue queries.
Can I query data for any year and month?
Yes, using list_despesas or list_receitas, you can specify the exercicio (year) and mes (month, 1-12) to get precise historical data for a municipality.
What is the difference between list_despesas and list_receitas?
list_despesas focuses on how the municipality spent its budget (expenses), while list_receitas shows the income and collections (revenues) received by the city.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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