3,400+ MCP servers ready to use
Vinkius

Salesquared MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Conference Mute, Create Audio From Tts, Create Lead, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salesquared 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 App Connector for LlamaIndex

The Salesquared app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Salesquared. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Salesquared
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 Salesquared MCP Server

Connect your Salesquared account to any AI agent and take full control of your multi-channel business communication through natural conversation. Salesquared provides a unified platform for SMS marketing, voice orchestration, and lead management, and this integration allows you to send automated messages, trigger voice OTPs, and manage your sales database directly from your chat interface.

LlamaIndex agents combine Salesquared tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • SMS & Messaging Orchestration — Send individual or bulk SMS messages programmatically to ensure your outreach is always synchronized.
  • Voice & OTP Intelligence — Trigger automated voice calls and send secure voice OTPs directly from the AI interface to verify user identities.
  • Lead & Campaign Control — List and manage your lead database and monitor active marketing campaigns via natural language.
  • Email Validation & Data Quality — Verify email addresses programmatically to maintain high deliverability rates and ensure your contact data is accurate.
  • Operational Monitoring — Access conference call controls and retrieve system metadata using simple AI commands to streamline your communications.

The Salesquared MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Salesquared tools available for LlamaIndex

When LlamaIndex connects to Salesquared through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, voice-calls, lead-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

conference_mute

Mute or unmute a participant

create_audio_from_tts

Create audio from text

create_lead

Create a new lead

create_voice_survey

Create a voice survey

get_campaign

Get details for a specific campaign

get_lead

Get lead details

list_campaigns

List campaigns

list_leads

List all leads

send_sms

Send an SMS message

send_voice_otp

Send a Voice OTP

validate_email

Validate an email address

Connect Salesquared to LlamaIndex via MCP

Follow these steps to wire Salesquared into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 11 tools from Salesquared

Why Use LlamaIndex with the Salesquared MCP Server

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

01

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

02

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

03

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

04

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

Salesquared + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Salesquared 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 Salesquared for fresh data

04

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

Example Prompts for Salesquared in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Salesquared immediately.

01

"Send an SMS broadcast to my new leads: 'Welcome to our platform!'."

02

"Show me all active SMS and voice campaigns with their delivery and conversion metrics."

03

"Send a bulk SMS campaign to all leads tagged as hot prospects with a meeting booking link."

Troubleshooting Salesquared MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Salesquared + LlamaIndex FAQ

Common questions about integrating Salesquared 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 Salesquared 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.