Bandwidth MCP Server for CrewAI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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)
* 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.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
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.
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
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
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
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.
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
Scheduled intelligence reports: set up a crew that periodically queries Bandwidth, analyzes trends over time, and generates executive briefings in markdown or PDF format
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
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:
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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Bandwidth to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Bandwidth + CrewAI FAQ
Common questions about integrating Bandwidth MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
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.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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 CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
