Can my agent trigger a new web crawl in Grepsr?

Yes. Use the 'run_report' tool. By providing the Report ID, the agent can programmatically trigger an on-demand crawl, starting the data extraction process immediately flawlessly.

How do I retrieve the actual scraped data records via chat?

You can use the 'get_report_data' or 'get_latest_data' tools. Your agent will fetch the structured records from Grepsr's database and present them in a readable format within your chat interface flawlessly.

Can I check my API usage limits through the agent?

Absolutely. Use the 'get_usage_stats' tool. Your agent will retrieve your current plan limits and remaining API credits, helping you manage your data extraction budget flawlessly.

Grepsr MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Grepsr
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Grepsr through Vinkius, pass the Edge URL in the `mcps` parameter and every Grepsr 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Grepsr Specialist",
    goal="Help users interact with Grepsr effectively",
    backstory=(
        "You are an expert at leveraging Grepsr 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 Grepsr "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Grepsr MCP Server

Connect your Grepsr account to any AI agent and take full control of your managed web scraping operations. Use natural language to trigger on-demand crawls, monitor data delivery schedules, and retrieve structured datasets directly into your workflow.

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

Report Orchestration — List all your reports and crawlers and retrieve specific configuration details natively
Live Data Retrieval — Query and resolve structured records from specific reports or run histories flawlessly
On-Demand Crawling — Trigger manual crawl runs for any report to refresh your datasets synchronously
Execution Monitoring — Track the status and record counts of crawl histories to audit data quality flawlessly
Webhook Management — Setup and audit webhooks to notify your internal systems as soon as new data is ready natively
Integration Visibility — List active data delivery integrations including S3, SFTP, and cloud storage providers synchronously

The Grepsr MCP Server exposes 12 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 Grepsr to CrewAI via MCP

Follow these steps to integrate the Grepsr 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 12 tools from Grepsr

Why Use CrewAI with the Grepsr MCP Server

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

Grepsr + CrewAI Use Cases

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

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

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

Grepsr MCP Tools for CrewAI (12)

These 12 tools become available when you connect Grepsr to CrewAI via MCP:

create_webhook

Configure a new webhook URL for a report

get_latest_data

Retrieve the most recent scraped dataset for a report

get_me

Get details for the current Grepsr account

get_report_data

Query scraped records from a specific report

get_report_details

Get metadata and configuration for a specific report

get_report_history

Retrieve the execution history (runs) for a specific report

get_usage_stats

Check account API usage and request limits

list_integrations

List active data delivery integrations (e.g. S3, SFTP)

list_projects

List all scraping projects

list_reports

List all reports and crawlers in your Grepsr account

list_webhooks

List webhooks configured for a specific report

run_report

Trigger an on-demand crawl for a specific report

Example Prompts for Grepsr in CrewAI

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

"List my web scraping reports in Grepsr"

"Trigger a manual crawl for report ID 104"

"Show me the 5 most recent records from the 'Real Estate Listings' report"

Troubleshooting Grepsr MCP Server with CrewAI

Common issues when connecting Grepsr 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.

Grepsr + CrewAI FAQ

Common questions about integrating Grepsr 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.