Bring Open Data
to CrewAI
Learn how to connect São Paulo (Cidade) to CrewAI and start using 11 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 São Paulo (Cidade) MCP Server?
Connect your AI agent directly to the São Paulo City Open Data Portal (CKAN). This server allows you to navigate thousands of public datasets covering health, education, transport, and finance in Brazil's largest city.
What you can do
- Dataset Discovery — Search for specific datasets using keywords or list all available packages in the portal.
- Granular Inspection — Fetch detailed metadata for datasets and individual resources (files) to understand data structures.
- Advanced Data Querying — Perform searches within data stores or execute complex SQL queries directly on CSV-backed resources.
- Organizational Mapping — List and inspect city secretariats (organizations) and thematic groups to find relevant data sources.
- Tag Exploration — Browse datasets by tags to discover related public information across different departments.
How it works
- Subscribe to this server
- (Optional) Provide your São Paulo Open Data API Key for higher rate limits
- Start querying city data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts & Researchers — quickly find and query public statistics without manual downloads
- Developers — integrate real-time city data into applications using SQL-like queries
- Journalists & Citizens — audit public spending and city performance through natural language conversation
Built-in capabilities (11)
Search data within a resource
SQL Query on a resource
Get group details
Get organization details
Get dataset details
Get resource details
g., Educação, Meio Ambiente). List groups (themes)
g., Secretarias) that own datasets. List organizations
List all datasets (packages) in the portal
List tags
Search datasets
Why CrewAI?
When paired with CrewAI, São Paulo (Cidade) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call São Paulo (Cidade) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
São Paulo (Cidade) in CrewAI
São Paulo (Cidade) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect São Paulo (Cidade) to CrewAI 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 São Paulo (Cidade) in CrewAI
The São Paulo (Cidade) 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 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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
São Paulo (Cidade) for CrewAI
Every tool call from CrewAI to the São Paulo (Cidade) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I search for datasets related to a specific topic like 'Health'?
You can use the search_packages tool with the query 'saúde'. The agent will return a list of matching datasets available in the portal.
Can I perform SQL queries on the data directly?
Yes! If a resource is stored in the DataStore, you can use the datastore_search_sql tool to run standard SQL queries against the resource ID.
How do I find which city departments have published data?
Use the list_organizations tool to see all registered entities. Then, use get_organization with a specific ID to see all datasets owned by that department.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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