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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Skylink through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Skylink MCP Server for LangChain 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

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "skylink": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Skylink, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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.

LangChain's ecosystem of 500+ components combines seamlessly with Skylink through native MCP adapters. Connect 22 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 22 tools from Skylink via MCP

Why Use LangChain with the Skylink MCP Server

LangChain provides unique advantages when paired with Skylink through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Skylink MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Skylink queries for multi-turn workflows

Skylink + LangChain Use Cases

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

01

RAG with live data: combine Skylink tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Skylink, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Skylink tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Skylink tool call, measure latency, and optimize your agent's performance

Example Prompts for Skylink in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Skylink + LangChain FAQ

Common questions about integrating Skylink MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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