Stannp MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Physical Letter, Create Postcard, Create Recipient, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Stannp 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 Stannp app connector for LlamaIndex is a standout in the Productivity 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
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 Stannp. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Stannp?"
)
print(response)
asyncio.run(main())
* 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 Stannp MCP Server
Connect your Stannp account to any AI agent and simplify your direct mail marketing, physical letter delivery, and mailing list management through natural conversation.
LlamaIndex agents combine Stannp 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
- Physical Mail Delivery — Create and send single or bulk letters and postcards programmatically directly from your agent
- Campaign Management — Query all configured direct mail campaigns and retrieve detailed metadata and status
- Recipient Control — Query your database of contacts and mailing addresses to choose the right recipients for each piece
- Account tracking — Access your real-time account balance to manage your mailing spend
- Live Monitoring — Access a history of sent and drafted letters to stay on top of your physical outreach
The Stannp 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 Stannp tools available for LlamaIndex
When LlamaIndex connects to Stannp through Vinkius, your AI agent gets direct access to every tool listed below — spanning direct-mail, physical-letters, postcards, 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.
Send a physical letter
Create and send a postcard
Create a new mailing recipient
Check account credit balance
Get details for a direct mail campaign
Get details for a specific letter
Get details for a specific recipient
List direct mail campaigns
List sent and drafted letters
List mailing recipients
List sent and drafted postcards
Connect Stannp to LlamaIndex via MCP
Follow these steps to wire Stannp into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Stannp MCP Server
LlamaIndex provides unique advantages when paired with Stannp through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Stannp tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Stannp tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Stannp, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Stannp tools were called, what data was returned, and how it influenced the final answer
Stannp + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Stannp MCP Server delivers measurable value.
Hybrid search: combine Stannp real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Stannp to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Stannp for fresh data
Analytical workflows: chain Stannp queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Stannp in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Stannp immediately.
"List my sent letters in Stannp."
"Show me all direct mail campaigns with their delivery status and response rates."
"Create and send a personalized postcard to our top 50 customers with a loyalty discount code."
Troubleshooting Stannp MCP Server with LlamaIndex
Common issues when connecting Stannp to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpStannp + LlamaIndex FAQ
Common questions about integrating Stannp MCP Server with LlamaIndex.