Can my AI agent check if my 10DLC campaign is cleared for high-volume SMS?

Yes. Ask the agent to list your 10DLC campaigns or check a specific campaign ID. It natively surfaces throughput limits (like TPS bounds) set by TCR preventing you from getting blocked by aggressive mobile carriers.

How do I troubleshoot SMS delivery failures using the agent?

You can tell the agent to 'List messages filtered by phone number +1XXXXXXXXXX'. The tool natively reaches Bandwidth's logs and pulls exactly what operational state the message failed in, bypassing complex raw log exports.

Does the system support sending localized multimedia messages (MMS) directly?

Yes. Provide the agent with the from address, the to address, the text block, and a direct URL to a hosted JPEG/PNG image. The agent explicitly commands the send_mms tool injecting image packets into the phone line seamlessly.

Bandwidth MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Bandwidth
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bandwidth through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Bandwidth "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Bandwidth?"
    )
    print(result.data)

asyncio.run(main())

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 Bandwidth MCP Server

Connect your Bandwidth account to any AI agent and take full control of your cloud communications stack through natural conversation.

Pydantic AI validates every Bandwidth tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Bandwidth MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Bandwidth MCP Server

Pydantic AI provides unique advantages when paired with Bandwidth through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Bandwidth integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Bandwidth connection logic from agent behavior for testable, maintainable code

Bandwidth + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Bandwidth MCP Server delivers measurable value.

Type-safe data pipelines: query Bandwidth with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Bandwidth tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Bandwidth and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Bandwidth responses and write comprehensive agent tests

Bandwidth MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bandwidth to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Bandwidth to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bandwidth + Pydantic AI FAQ

Common questions about integrating Bandwidth MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Bandwidth MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.