BulkSMS MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BulkSMS as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 BulkSMS. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in BulkSMS?"
)
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 BulkSMS MCP Server
Connect your BulkSMS.com account to any AI agent and orchestrate your global SMS communications, contact management, and credit oversight through natural conversation.
LlamaIndex agents combine BulkSMS tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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 Dispatch — Send single or bulk SMS messages to any international destination using the REST API.
- Delivery Tracking — List and retrieve detailed metadata for sent messages and monitor their delivery status.
- Contact Organization — Access and list your contact groups and their members directly from your workspace.
- Account Oversight — Retrieve your account profile and real-time credit balance to ensure uninterrupted service.
- Message Deep Dives — Get detailed data for specific message IDs straight from your workspace.
The BulkSMS MCP Server exposes 8 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.
How to Connect BulkSMS to LlamaIndex via MCP
Follow these steps to integrate the BulkSMS MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from BulkSMS
Why Use LlamaIndex with the BulkSMS MCP Server
LlamaIndex provides unique advantages when paired with BulkSMS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BulkSMS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BulkSMS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BulkSMS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BulkSMS tools were called, what data was returned, and how it influenced the final answer
BulkSMS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BulkSMS MCP Server delivers measurable value.
Hybrid search: combine BulkSMS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BulkSMS 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 BulkSMS for fresh data
Analytical workflows: chain BulkSMS queries with LlamaIndex's data connectors to build multi-source analytical reports
BulkSMS MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect BulkSMS to LlamaIndex via MCP:
get_account_info
Retrieve core account information
get_message
Get details of a specific message
get_profile
Retrieve account profile and credit balance
list_group_members
List members of a specific contact group
list_groups
List contact groups
list_messages
List sent messages
send_bulk_sms
Send multiple SMS messages
send_sms
Send a single SMS message
Example Prompts for BulkSMS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BulkSMS immediately.
"Send an SMS to +1234567890 saying 'Your appointment is confirmed'."
"How many credits do I have left in my BulkSMS account?"
"List the members of my 'VIP Customers' group."
Troubleshooting BulkSMS MCP Server with LlamaIndex
Common issues when connecting BulkSMS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBulkSMS + LlamaIndex FAQ
Common questions about integrating BulkSMS MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect BulkSMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BulkSMS to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.