4,000+ servers built on vurb.ts
Vinkius

Skylink MCP Server for CrewAIGive CrewAI instant access to 22 tools to Check Skylink Status, Create Contact, Create Deal, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for CrewAI

The Skylink MCP Server for CrewAI is a standout in the Sales Automation category — giving your AI agent 22 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Skylink Specialist",
    goal="Help users interact with Skylink effectively",
    backstory=(
        "You are an expert at leveraging Skylink 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 Skylink "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 22 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Skylink
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 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.

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.

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

Who is it for?

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

The Skylink MCP Server exposes 22 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 22 Skylink tools available for CrewAI

When CrewAI connects to Skylink through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, deal-tracking, call-analytics, 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.

check

Check skylink status on Skylink

Verify connectivity

create

Create contact on Skylink

Create a contact

create

Create deal on Skylink

Create a deal

create

Create lead on Skylink

Create a lead

create

Create task on Skylink

Create a task

get

Get account on Skylink

Get account info

get

Get agent performance on Skylink

Get agent performance

get

Get call on Skylink

Get call details

get

Get call analytics on Skylink

Get call analytics

get

Get contact on Skylink

Get contact details

get

Get deal on Skylink

Get deal details

get

Get lead on Skylink

Get lead details

get

Get lead timeline on Skylink

Get lead timeline

list

List activities on Skylink

List activities

list

List calls on Skylink

List all calls

list

List contacts on Skylink

List all contacts

list

List deals on Skylink

List all deals

list

List leads on Skylink

List all leads

list

List leads by status on Skylink

Filter leads by status

list

List tasks on Skylink

List tasks

update

Update deal on Skylink

Update a deal

update

Update lead on Skylink

Update a lead

Connect Skylink to CrewAI via MCP

Follow these steps to wire Skylink into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 22 tools from Skylink

Why Use CrewAI with the Skylink MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Skylink through the Model Context Protocol.

01

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

02

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

03

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

04

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

Skylink + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Skylink for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Skylink, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Skylink tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Skylink against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Skylink in CrewAI

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

01

"List all new leads in Skylink that haven't been contacted yet."

02

"Show all deals in the 'negotiation' stage in Skylink with their values."

03

"Show agent performance metrics in Skylink for this month."

Troubleshooting Skylink MCP Server with CrewAI

Common issues when connecting Skylink to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Skylink + CrewAI FAQ

Common questions about integrating Skylink MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

Explore More MCP Servers

View all →