CrewAIFramework

Socket.dev (Dependency Security) MCP Server

Bring Supply Chain Security
to CrewAI

Name: Socket.dev (Dependency Security) MCP Server
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

Learn how to connect Socket.dev (Dependency Security) to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create ScanDelete ScanGet Package IssuesGet Package ScoreGet QuotaGet ReportGet ScanGet Threat FeedList OrganizationsList Reports

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What is the Socket.dev (Dependency Security) MCP Server?

Connect Socket.dev to your AI agent to proactively defend against supply chain attacks. This MCP server allows you to analyze open-source packages, scan manifest files, and monitor for malicious dependencies without leaving your development environment.

What you can do

Package Analysis — Get deep security scores and identify issues for specific packages using PURLs (e.g., npm, PyPI, Go).
Dependency Scanning — Upload manifest files like package.json or requirements.txt to create comprehensive security scans.
Report Management — List and retrieve detailed security reports, including policy compliance and alert data.
Threat Intelligence — Access a real-time feed of malicious packages detected by Socket's analysis engine.
Organization Oversight — Manage scans across different organizations and monitor your API usage quotas.

How it works

Subscribe to this server
Enter your Socket.dev API Token
Start auditing your dependencies directly from Claude, Cursor, or any MCP-compatible client

Stop guessing if a package is safe. Let your AI agent use Socket's industry-leading telemetry to catch typosquatting, backdoors, and telemetry before they enter your codebase.

Who is this for?

Security Engineers — Automate the review of new dependencies and monitor organizational security posture.
Developers — Check package safety scores instantly before running npm install or pip install.
DevOps Teams — Integrate dependency scanning into the conversation to quickly triage security reports.

Built-in capabilities (10)

create_scan

Provide manifest files data (e.g., package.json, requirements.txt). Create a new scan by uploading manifest files

delete_scan

Delete a scan

get_package_issues

g., pkg:npm/babel). Get issues/alerts for a specific package

get_package_score

g., pkg:npm/babel). Get the security score for a specific package

get_quota

Check remaining API quota

get_report

Get detailed report data

get_scan

Get scan metadata and status

get_threat_feed

Access the real-time threat feed

list_organizations

List organizations the token has access to

list_reports

List reports

Why CrewAI?

When paired with CrewAI, Socket.dev (Dependency Security) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Socket.dev (Dependency Security) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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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
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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
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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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Socket.dev (Dependency Security) in CrewAI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Socket.dev (Dependency Security) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Socket.dev (Dependency Security) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for CrewAI →

Enterprise Security

Why teams choose Vinkius for Socket.dev (Dependency Security) in CrewAI

The Socket.dev (Dependency Security) 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Socket.dev (Dependency Security) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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

The Vinkius Advantage

How Vinkius secures
Socket.dev (Dependency Security) for CrewAI

Every tool call from CrewAI to the Socket.dev (Dependency Security) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I check if a specific npm package is safe to use?

You can use the get_package_score tool by providing the Package URL (PURL), such as pkg:npm/lodash. The agent will return a security score and risk assessment.

Can I scan my entire project's dependencies at once?

Yes! Use the create_scan tool and provide the content of your manifest files (like package.json). Socket will analyze all dependencies and generate a report.

How do I see the specific security issues found in a package?

Use the get_package_issues tool with the package's PURL. It will list all alerts, such as telemetry, install scripts, or known vulnerabilities associated with that package.

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.