How do I find solar contractors in a specific ZIP code?

Use the `search_contractors` tool and provide the ZIP code in the `geo_id` parameter and 'solar' in the `work_type` parameter. Your agent will return a list of matching professionals.

Can I see permit activity for a whole city?

Yes! Use the `get_permit_stats` tool with the city name or City/State combination in the `geo_id` parameter to retrieve aggregated construction data for that area.

How do I verify if a contractor has a valid license?

You can use the `get_contractor_by_license` tool with their state business license ID. The returned profile will include their current licensing status and specialty data.

Shovels MCP Server for CrewAI 7 tools — connect in under 2 minutes

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Shovels Specialist",
    goal="Help users interact with Shovels effectively",
    backstory=(
        "You are an expert at leveraging Shovels 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 Shovels "
        "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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* 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 Shovels MCP Server

Empower your AI agent to access the most comprehensive database of construction permits and licensed contractors with Shovels. By connecting Shovels to your agent, you transform complex real estate and construction auditing into a natural conversation. Your agent can instantly search for active permits, audit contractor history, and retrieve market statistics for specific geographic areas without you ever touching a dashboard. Whether you are analyzing market trends or verifying contractor credentials, your agent acts as a real-time construction data analyst, ensuring your insights are always structured and up-to-date.

When paired with CrewAI, Shovels becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Shovels 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

Contractor Discovery — Find licensed professionals based on location, work type (solar, roofing, etc.), and property type.
Permit Auditing — Search for and inspect detailed building permit records, including status and estimated values.
Activity Tracking — Identify contractors actively working within a specific radius of any address.
Market Intelligence — Retrieve aggregated permit statistics to analyze construction trends in different cities or counties.
License Verification — Instantly pull contractor profiles using their state business license IDs.

The Shovels MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Shovels to CrewAI via MCP

Follow these steps to integrate the Shovels MCP Server with CrewAI.

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 Shovels

Why Use CrewAI with the Shovels MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Shovels 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

Shovels + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Shovels MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Shovels 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 Shovels, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Shovels 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 Shovels against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Shovels MCP Tools for CrewAI (7)

These 7 tools become available when you connect Shovels to CrewAI via MCP:

get_contractor

Get contractor details

get_contractor_activity

Find contractors active at an address

get_contractor_by_license

Find contractor by license ID

get_permit

Get permit details

get_permit_stats

Get permit activity statistics

search_contractors

Search for licensed contractors

search_permits

Search for building permits

Example Prompts for Shovels in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Shovels immediately.

"Search for roofing contractors in ZIP 94105."

"Show me permit stats for Austin, TX."

"Find contractors active near 1600 Amphitheatre Pkwy, Mountain View."

Troubleshooting Shovels MCP Server with CrewAI

Common issues when connecting Shovels to CrewAI through the 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.

Shovels + CrewAI FAQ

Common questions about integrating Shovels 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.