Mato Grosso do Sul Open Data MCP Server for CrewAIGive CrewAI instant access to 7 tools to Datastore Search, Datastore Search Sql, Get Package, and more

Name: Mato Grosso do Sul Open Data
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Mato Grosso do Sul Open Data through Vinkius, pass the Edge URL in the `mcps` parameter and every Mato Grosso do Sul Open Data tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Mato Grosso do Sul Open Data MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 7 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mato Grosso do Sul Open Data Specialist",
    goal="Help users interact with Mato Grosso do Sul Open Data effectively",
    backstory=(
        "You are an expert at leveraging Mato Grosso do Sul Open Data tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Mato Grosso do Sul Open Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Mato Grosso do Sul Open Data MCP Server

Connect to the Mato Grosso do Sul (MS) Open Data Portal to explore and analyze public information from the Brazilian state. This server allows AI agents to programmatically access datasets, organizations, and specific resource records.

When paired with CrewAI, Mato Grosso do Sul Open Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Mato Grosso do Sul Open Data tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Datasets & Packages — List all available public data packages and retrieve detailed metadata using list_packages and get_package.
Resource Inspection — Drill down into specific files or links within datasets to understand their structure with get_resource.
DataStore Search — Filter and search through actual records in CSVs or spreadsheets directly using datastore_search.
SQL Queries — Execute complex SQL statements on DataStore resources for advanced data analysis with datastore_search_sql.
Organizational Context — List the government organizations and groups responsible for the data via list_organizations and list_groups.

The Mato Grosso do Sul Open Data MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Mato Grosso do Sul Open Data tools available for CrewAI

When CrewAI connects to Mato Grosso do Sul Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, brazil, public-records, 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.

datastore

Datastore search on Mato Grosso do Sul Open Data

Search data in a DataStore resource

datastore

Datastore search sql on Mato Grosso do Sul Open Data

Execute a SQL query on DataStore resources

get

Get package on Mato Grosso do Sul Open Data

Get details of a specific dataset package

get

Get resource on Mato Grosso do Sul Open Data

Get details of a specific resource

list

List groups on Mato Grosso do Sul Open Data

List all groups

list

List organizations on Mato Grosso do Sul Open Data

List all organizations

list

List packages on Mato Grosso do Sul Open Data

List all dataset packages

Connect Mato Grosso do Sul Open Data to CrewAI via MCP

Follow these steps to wire Mato Grosso do Sul Open Data into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Mato Grosso do Sul Open Data

Why Use CrewAI with the Mato Grosso do Sul Open Data MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mato Grosso do Sul Open Data through the Model Context Protocol.

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 `mcps` parameter 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

Mato Grosso do Sul Open Data + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Mato Grosso do Sul Open Data MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Mato Grosso do Sul Open Data for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Mato Grosso do Sul Open Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Mato Grosso do Sul Open Data tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Mato Grosso do Sul Open Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Mato Grosso do Sul Open Data in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Mato Grosso do Sul Open Data immediately.

"List all the public data packages available in Mato Grosso do Sul."

"Search for records containing 'Campo Grande' in the resource ID 550e8400-e29b-41d4-a716-446655440000."

"Run a SQL query to select all columns from resource 'receita-2023' where the value is greater than 1000000."

Troubleshooting Mato Grosso do Sul Open Data MCP Server with CrewAI

Common issues when connecting Mato Grosso do Sul Open Data to CrewAI through Vinkius, and how to resolve them.

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.

Mato Grosso do Sul Open Data + CrewAI FAQ

Common questions about integrating Mato Grosso do Sul Open Data MCP Server with CrewAI.

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.