Socket.dev (Dependency Security) MCP Server for CrewAIGive CrewAI instant access to 10 tools to Create Scan, Delete Scan, Get Package Issues, and more

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

GDPR Free for Subscribers

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

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The Socket.dev (Dependency Security) MCP Server for CrewAI is a standout in the Fort Knox category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Socket.dev (Dependency Security) Specialist",
    goal="Help users interact with Socket.dev (Dependency Security) effectively",
    backstory=(
        "You are an expert at leveraging Socket.dev (Dependency Security) 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 Socket.dev (Dependency Security) "
        "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)

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

About 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.

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.

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.

The Socket.dev (Dependency Security) MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Socket.dev (Dependency Security) tools available for CrewAI

When CrewAI connects to Socket.dev (Dependency Security) through Vinkius, your AI agent gets direct access to every tool listed below — spanning supply-chain-security, dependency-scanning, open-source-security, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create scan on Socket.dev (Dependency Security)

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

delete

Delete scan on Socket.dev (Dependency Security)

Delete a scan

get

Get package issues on Socket.dev (Dependency Security)

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

get

Get package score on Socket.dev (Dependency Security)

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

get

Get quota on Socket.dev (Dependency Security)

Check remaining API quota

get

Get report on Socket.dev (Dependency Security)

Get detailed report data

get

Get scan on Socket.dev (Dependency Security)

Get scan metadata and status

get

Get threat feed on Socket.dev (Dependency Security)

Access the real-time threat feed

list

List organizations on Socket.dev (Dependency Security)

List organizations the token has access to

list

List reports on Socket.dev (Dependency Security)

List reports

Connect Socket.dev (Dependency Security) to CrewAI via MCP

Follow these steps to wire Socket.dev (Dependency Security) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Socket.dev (Dependency Security)

Why Use CrewAI with the Socket.dev (Dependency Security) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Socket.dev (Dependency Security) 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

Socket.dev (Dependency Security) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Socket.dev (Dependency Security) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Socket.dev (Dependency Security) 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 Socket.dev (Dependency Security), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Socket.dev (Dependency Security) 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 Socket.dev (Dependency Security) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Socket.dev (Dependency Security) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Socket.dev (Dependency Security) immediately.

"Check the security score for the npm package 'axios'."

"List all security reports for my organization."

"Show me the real-time threat feed from Socket."

Troubleshooting Socket.dev (Dependency Security) MCP Server with CrewAI

Common issues when connecting Socket.dev (Dependency Security) to CrewAI through 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.

Socket.dev (Dependency Security) + CrewAI FAQ

Common questions about integrating Socket.dev (Dependency Security) 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.

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