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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Skylink as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Skylink MCP Server for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Skylink. "
            "You have 22 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Skylink?"
    )
    print(response)

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.

LlamaIndex agents combine Skylink tool responses with indexed documents for comprehensive, grounded answers. Connect 22 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 22 tools from Skylink

Why Use LlamaIndex with the Skylink MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Skylink tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Skylink tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Skylink, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Skylink tools were called, what data was returned, and how it influenced the final answer

Skylink + LlamaIndex Use Cases

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

01

Hybrid search: combine Skylink real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Skylink to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Skylink for fresh data

04

Analytical workflows: chain Skylink queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Skylink in LlamaIndex

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Skylink + LlamaIndex FAQ

Common questions about integrating Skylink MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Skylink tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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