CrewAIFramework

Skylink MCP Server

Bring Lead Management
to CrewAI

Name: Skylink MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Skylink to CrewAI and start using 22 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Check Skylink StatusCreate ContactCreate DealCreate LeadCreate TaskGet AccountGet Agent PerformanceGet CallGet Call AnalyticsGet ContactGet DealGet LeadGet Lead TimelineList ActivitiesList CallsList ContactsList DealsList LeadsList Leads By StatusList TasksUpdate DealUpdate Lead

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What is the Skylink MCP Server?

Empower your AI agents to completely manage your real estate pipeline using the Skylink CRM platform. With 22 robust tools spanning CRM and VoIP operations, your AI can now programmatically organize leads, analyze call logs, manage complex deals, and evaluate agent performance.

What you can do

Create, update, and filter real estate leads
Manage the entire deal and contact lifecycle
Access comprehensive call logs and VoIP analytics
Track agent activity and performance metrics
View full lead interaction timelines
Assign and monitor team tasks

How it works

Subscribe to this server
Enter your Skylink API Key (found in your provider dashboard)
Start closing more deals directly via Vinkius

Who is it for?

Specifically built for real estate brokerages, property managers, and high-volume sales teams needing intelligent CRM automation and telephony integration.

Built-in capabilities (22)

check_skylink_status

Verify connectivity

create_contact

Create a contact

create_deal

Create a deal

create_lead

Create a lead

create_task

Create a task

get_account

Get account info

get_agent_performance

Get agent performance

get_call

Get call details

get_call_analytics

Get call analytics

get_contact

Get contact details

get_deal

Get deal details

get_lead

Get lead details

get_lead_timeline

Get lead timeline

list_activities

List activities

list_calls

List all calls

list_contacts

List all contacts

list_deals

List all deals

list_leads

List all leads

list_leads_by_status

Filter leads by status

list_tasks

List tasks

update_deal

Update a deal

update_lead

Update a lead

Why CrewAI?

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

Skylink in CrewAI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Skylink and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Skylink 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 Skylink in CrewAI

The Skylink 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 22 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 Skylink 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
Skylink for CrewAI

Every tool call from CrewAI to the Skylink 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 my AI retrieve the list of new leads that haven't been contacted yet?

Simply use the list_new_leads tool. Your agent will instantly retrieve all uncontacted prospects in your CRM, complete with contact details and source information, allowing you to prioritize outreach without opening the dashboard.

Is it possible to track the total value of deals currently in negotiation?

Yes. By utilizing the get_pipeline_deals action and filtering by the 'negotiation' stage, your AI agent can compile all active opportunities along with their monetary value and estimated close dates.

Can I automatically monitor the performance and call metrics of my sales team?

Absolutely. Ask the agent to run the get_agent_metrics tool. It will compile calls made, deals closed, and revenue generated per agent, giving you an immediate view of team accountability and coaching needs.

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.