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Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Bandwidth through Vinkius, pass the Edge URL in the `mcps` parameter and every Bandwidth tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Bandwidth Specialist",
    goal="Help users interact with Bandwidth effectively",
    backstory=(
        "You are an expert at leveraging Bandwidth tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Bandwidth "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Bandwidth
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.

When paired with CrewAI, Bandwidth becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Bandwidth tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Bandwidth MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Bandwidth

Why Use CrewAI with the Bandwidth MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Bandwidth through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Bandwidth + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Bandwidth for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Bandwidth, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Bandwidth tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Bandwidth against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Bandwidth MCP Tools for CrewAI (10)

These 10 tools become available when you connect Bandwidth to CrewAI via MCP:

01

delete_media

Delete a stored media asset

02

get_campaign

Get details for a specific 10DLC campaign

03

get_health

Ping Bandwidth API Health

04

get_toll_free

List toll-free number verifications

05

list_applications

List Messaging Applications

06

list_campaigns

List 10DLC messaging campaigns

07

list_media

List uploaded media files in Bandwidth storage

08

list_messages

List sent or received messages log

09

send_mms

Send an MMS message with media payload

10

send_sms

Send an SMS message via Bandwidth API

Example Prompts for Bandwidth in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Bandwidth immediately.

01

"Send an SMS from our main line +15551234567 to +18889990000 saying 'The server outage is fully resolved. Thank you.'"

02

"List all uploaded media files on our account and delete any named 'old-marketing-promo.png'."

03

"Ping the Bandwidth API Health check."

Troubleshooting Bandwidth MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Bandwidth + CrewAI FAQ

Common questions about integrating Bandwidth MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Bandwidth to CrewAI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.