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Postscript MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Subscriber, Create Webhook, Delete Webhook, 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 Postscript 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 Postscript 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 Postscript. "
            "You have 12 tools available."
        ),
    )

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

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

Connect your Postscript account to any AI agent and take full control of your SMS marketing orchestration through natural conversation. Postscript is the leading SMS platform for Shopify stores, and this integration allows you to retrieve subscriber metadata, monitor campaign performance, and manage automated keywords directly from your chat interface.

LlamaIndex agents combine Postscript 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

  • Subscriber & Audience Orchestration — List all managed SMS subscribers and retrieve detailed profile metadata programmatically to ensure your outreach is always synchronized.
  • Campaign & Flow Intelligence — Access and monitor your SMS campaigns and automated flows (like abandoned cart recovery) directly from the AI interface to track engagement metrics.
  • Keyword & Opt-in Control — List and search through your mobile keywords to maintain a clear overview of your subscription sources via natural language.
  • Operational Monitoring — Track system responses and manage webhook metadata using simple AI commands.
  • Account Visibility — Access high-level account and plan metadata to ensure your SMS operations are always optimized.

The Postscript 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 Postscript tools available for LlamaIndex

When LlamaIndex connects to Postscript through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-marketing, shopify-integration, 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.

create_subscriber

Note: Compliance rules apply. Subscribe a new user

create_webhook

Create a new webhook

delete_webhook

Delete a webhook

get_account_info

Get account details

get_campaign

Get campaign details

get_subscriber

Get subscriber details

list_automations

g., Abandoned Cart). List SMS automations

list_campaigns

List SMS campaigns

list_keywords

List SMS keywords

list_subscribers

List all SMS subscribers

list_webhooks

List active webhooks

update_subscriber

Update subscriber info

Connect Postscript to LlamaIndex via MCP

Follow these steps to wire Postscript 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 Postscript

Why Use LlamaIndex with the Postscript MCP Server

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

01

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

02

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

03

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

04

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

Postscript + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Postscript 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 Postscript for fresh data

04

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

Example Prompts for Postscript in LlamaIndex

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

01

"List all active SMS subscribers in Postscript."

02

"Show me the performance of all active SMS campaigns with conversion rates and revenue attribution."

03

"Create a new SMS campaign targeting customers who purchased in the last 30 days but have not reordered."

Troubleshooting Postscript MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Postscript + LlamaIndex FAQ

Common questions about integrating Postscript 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 Postscript 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.