Bring Transparency
to Mastra AI
Learn how to connect TCE-SP (Audesp) to Mastra AI and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and TCE-SP (Audesp) tool infrastructure. Connect 3 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add TCE-SP (Audesp) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every TCE-SP (Audesp) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
TCE-SP (Audesp) in Mastra AI
TCE-SP (Audesp) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect TCE-SP (Audesp) to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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