Can I check the scope of a security program using the agent?

Yes! Use the `get_program` tool with the Program ID. Your agent will fetch the detailed metadata, including targets and scope descriptions, from Bugcrowd.

How do I list all the vulnerability submissions for my account?

Simply ask the agent to `list_submissions`. It will retrieve the latest vulnerability reports from your Bugcrowd account, including titles and statuses like 'triaged' or 'resolved'.

Does the integration allow creating a new submission?

Yes. Use the `create_submission` action and provide the title and description. You can also associate it with a specific program by providing the `program_id`.

Bugcrowd MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Bugcrowd
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Bugcrowd through Vinkius, pass the Edge URL in the `mcps` parameter and every Bugcrowd 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="Bugcrowd Specialist",
    goal="Help users interact with Bugcrowd effectively",
    backstory=(
        "You are an expert at leveraging Bugcrowd 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 Bugcrowd "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 Bugcrowd MCP Server

Connect your Bugcrowd account to any AI agent and orchestrate your vulnerability management, bug bounty programs, and security engagements through natural conversation.

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

Submission Oversight — List and retrieve detailed metadata for all vulnerability reports (submissions) across your programs.
Program Management — List all active security programs and retrieve detailed metadata, including scopes and rewards.
Engagement Tracking — Monitor crowd executions like specific Bug Bounties or Pen Tests directly from your workspace.
Target Coordination — List and inspect assets in scope (targets) for your organization or specific programs.
Submission Creation — Create new vulnerability submissions from external sources using natural language.
Organizational Insights — Retrieve core organization information and settings straight from your workspace.

The Bugcrowd MCP Server exposes 10 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 Bugcrowd to CrewAI via MCP

Follow these steps to integrate the Bugcrowd 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 10 tools from Bugcrowd

Why Use CrewAI with the Bugcrowd MCP Server

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

Bugcrowd + CrewAI Use Cases

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

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

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

Bugcrowd MCP Tools for CrewAI (10)

These 10 tools become available when you connect Bugcrowd to CrewAI via MCP:

create_submission

Create a new vulnerability submission

get_engagement

Get details of a specific engagement

get_organization_info

Retrieve core organization information

get_program

Get details of a specific security program

get_submission

Get details of a specific submission

get_target

Get details of a specific target

list_engagements

List all crowd engagements (bounties, pen tests)

list_programs

List all security programs

list_submissions

List all vulnerability submissions

list_targets

List all assets in scope (targets)

Example Prompts for Bugcrowd in CrewAI

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

"List all active security programs in Bugcrowd."

"Show the last 5 vulnerability submissions."

"Create a new submission titled 'Insecure Direct Object Reference' for program prog_123."

Troubleshooting Bugcrowd MCP Server with CrewAI

Common issues when connecting Bugcrowd 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.

Bugcrowd + CrewAI FAQ

Common questions about integrating Bugcrowd 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.