Veracode MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Veracode through the Vinkius — pass the Edge URL in the `mcps` parameter and every Veracode tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Veracode Specialist",
goal="Help users interact with Veracode effectively",
backstory=(
"You are an expert at leveraging Veracode 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 Veracode "
"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)
* 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 Veracode MCP Server
Equip your AI agent with complete read and write access to your Veracode ecosystem. Seamlessly blend application security posture management alongside your typical development workflow using entirely conversational AI.
When paired with CrewAI, Veracode becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Veracode tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.
What you can do
- Unified Vulnerability Tracing — Ask the agent to list Open security findings or mitigation statuses spanning across Static (SAST), Dynamic (DAST), and Component (SCA) analytics per application.
- Deep Flaw Details — Input specific Finding IDs and let the bot explain the underlying CWE error, affected code strings, severity ratings, and automated remediation tutorials.
- Portfolio AppSec Management — List tracked applications, create novel application profiles on the fly before a commit, or request health checks mapping sandbox testing environments.
- Dynamic Scan Queries — Poll your AI intuitively ensuring it retrieves the real-time execution bounds of your scheduled Web Application Security runtime scenarios.
The Veracode 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 Veracode to CrewAI via MCP
Follow these steps to integrate the Veracode 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 Veracode
Why Use CrewAI with the Veracode MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Veracode 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 the 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
Veracode + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Veracode MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Veracode 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 Veracode, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Veracode 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 Veracode against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Veracode MCP Tools for CrewAI (10)
These 10 tools become available when you connect Veracode to CrewAI via MCP:
create_application
Provide the app schema and profile name as a JSON string. Create a new Veracode application profile container
delete_application
This action is irreversible. Delete a Veracode application permanently
get_api_health
Check the health of Veracode connection
get_application_details
Information includes its Veracode compliance policy status, business criticality rating, deployment state, and risk scores. Get a detailed profile of a Veracode application
get_finding_details
Explains the vulnerability type (CWE), affected source file, code path, and remediation guidance. Get precise vulnerability details for a specific flaw/finding
list_applications
Most structural entities return a globally unique GUID which is required for sub-resource lookups. List all Veracode AppSec Applications
list_dynamic_analyses
List configured Dynamic Analysis (DAST) scans
list_sandboxes
List all testing sandboxes linked to an application
list_security_findings
Retrieve the unified security findings for an application
list_veracode_users
Used to manage RBAC roles. List authorized Veracode identity users
Example Prompts for Veracode in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Veracode immediately.
"List all applications currently monitored in our Veracode account."
"Get the detailed security profile for the application GUID 'f3b9...'."
"Explain finding ID '89' from that app and how to fix it."
Troubleshooting Veracode MCP Server with CrewAI
Common issues when connecting Veracode to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Veracode + CrewAI FAQ
Common questions about integrating Veracode MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Veracode with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Veracode to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.