Bandwidth MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bandwidth 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 MCP SERVER
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 Bandwidth. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bandwidth?"
)
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 Bandwidth MCP Server
Connect your Bandwidth account to any AI agent and take full control of your cloud communications stack through natural conversation.
LlamaIndex agents combine Bandwidth tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
O que você pode fazer
- Messaging — Instantly blast SMS and MMS (with rich media attachments) explicitly bypassing legacy SIP pipelines
- 10DLC Campaigns — Validate 10DLC TCR profiling and approve messaging rules preventing carrier filtering
- Toll-Free Verification — Ping upstream toll-free approval headers checking compliance dynamically
- Logs & Media — Iterate over messaging histories, clear cached media payloads, and ensure API health routing
Como funciona
1. Subscribe to this server
2. Enter your explicit Bandwidth Account ID, Username, and Password
3. Start dispatching text alerts, querying delivery footprints, or managing assets from Claude / Cursor
Scale unified communications reliably without building massive custom Webhook architectures. Your AI agent handles the underlying CPaaS native complexity.
Para quem é?
- Support Teams — dispatch priority outage SMS blasts instantly out of Slack interfaces tracking message receipts
- Marketing Operators — audit 10DLC campaign health routing ensuring promotional texts never face upstream filtering blocks
- DevOps Engineers — ping the telecom backbone executing structural health tests before system scaling
The Bandwidth MCP Server exposes 10 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 Bandwidth to LlamaIndex via MCP
Follow these steps to integrate the Bandwidth 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 10 tools from Bandwidth
Why Use LlamaIndex with the Bandwidth MCP Server
LlamaIndex provides unique advantages when paired with Bandwidth through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bandwidth tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bandwidth tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bandwidth, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bandwidth tools were called, what data was returned, and how it influenced the final answer
Bandwidth + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bandwidth MCP Server delivers measurable value.
Hybrid search: combine Bandwidth real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bandwidth 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 Bandwidth for fresh data
Analytical workflows: chain Bandwidth queries with LlamaIndex's data connectors to build multi-source analytical reports
Bandwidth MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bandwidth to LlamaIndex via MCP:
delete_media
Delete a stored media asset
get_campaign
Get details for a specific 10DLC campaign
get_health
Ping Bandwidth API Health
get_toll_free
List toll-free number verifications
list_applications
List Messaging Applications
list_campaigns
List 10DLC messaging campaigns
list_media
List uploaded media files in Bandwidth storage
list_messages
List sent or received messages log
send_mms
Send an MMS message with media payload
send_sms
Send an SMS message via Bandwidth API
Example Prompts for Bandwidth in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Bandwidth immediately.
"Send an SMS from our main line +15551234567 to +18889990000 saying 'The server outage is fully resolved. Thank you.'"
"List all uploaded media files on our account and delete any named 'old-marketing-promo.png'."
"Ping the Bandwidth API Health check."
Troubleshooting Bandwidth MCP Server with LlamaIndex
Common issues when connecting Bandwidth to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBandwidth + LlamaIndex FAQ
Common questions about integrating Bandwidth 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 Bandwidth 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 Bandwidth to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.