3,400+ MCP servers ready to use
Vinkius

ProTexting MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Protexting Status, Create Contact, Create Group, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ProTexting 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 ProTexting app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 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 ProTexting. "
            "You have 12 tools available."
        ),
    )

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

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

Connect your ProTexting account to any AI agent and take full control of your business text messaging and SMS orchestration through natural conversation. ProTexting provides a premier platform for mobile marketing and customer engagement, and this integration allows you to send SMS/MMS, manage contact groups, and monitor keyword performance directly from your chat interface.

LlamaIndex agents combine ProTexting tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 text messages programmatically to ensure your outreach is always synchronized.
  • Contact & Group Management — Create and organize mobile contacts into segments and groups directly from the AI interface to maintain a high-fidelity audience.
  • Keyword & Campaign Intelligence — Access and monitor mobile keywords and campaign stats via natural language to drive better engagement.
  • Inbox & Conversation Control — Access your mobile inbox and retrieve real-time message metadata to ensure rapid customer responses.
  • Operational Monitoring — Track account stats and manage system metadata using simple AI commands.

The ProTexting MCP Server exposes 12 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 12 ProTexting tools available for LlamaIndex

When LlamaIndex connects to ProTexting through Vinkius, your AI agent gets direct access to every tool listed below — spanning mobile-engagement, bulk-sms, mms-marketing, 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.

check_protexting_status

Verify connectivity

create_contact

Create a contact

create_group

Create a group

delete_contact

Delete a contact

get_account

Get account info

get_message_status

Get message status

list_contacts

List contacts

list_groups

List groups

list_keywords

List keywords

send_bulk

Send bulk messages

send_mms

Send MMS

send_sms

Send SMS

Connect ProTexting to LlamaIndex via MCP

Follow these steps to wire ProTexting 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 12 tools from ProTexting

Why Use LlamaIndex with the ProTexting MCP Server

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

01

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

02

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

03

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

04

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

ProTexting + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query ProTexting 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 ProTexting for fresh data

04

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

Example Prompts for ProTexting in LlamaIndex

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

01

"List all my contact groups in ProTexting."

02

"Show me all active text messaging campaigns and their opt-in subscriber counts."

03

"Send a promotional text blast to all Loyalty Rewards subscribers with a 20% discount code."

Troubleshooting ProTexting MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ProTexting + LlamaIndex FAQ

Common questions about integrating ProTexting 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 ProTexting 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.