MessageFlow MCP. Manage SMS, WA, and Email from one API.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
MessageFlow MCP Server handles cross-channel communication—SMS, WhatsApp, and Email—through a unified API layer. It lets your AI client manage all outgoing messages, track delivery status in real time, check account balances, and use saved templates without jumping between vendor dashboards.
Control every message flow from one place.
What your AI agents can do
Get account balance
Checks your MessageFlow account balance and current usage limits.
Get delivery status
Retrieves the real-time delivery status for a specific message ID.
Get template
Fetches the detailed content and metadata for a specific saved message template.
Dispatch text, email, or WhatsApp messages using a single function call regardless of the final communication method.
Check if a message was sent, delivered, failed, or read by retrieving its unique status ID.
Confirm your current balance and API usage limits to prevent sending messages when funds run out.
List available, pre-approved message templates so the AI agent can use consistent messaging for campaigns.
Retrieve a list of all supported communication channels and their current configurations.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
MessageFlow MCP Server: 10 Tools for Communications
These tools allow your AI agent to send messages across SMS, WhatsApp, and Email while also tracking delivery, checking balances, and managing templates.
019d75d3get account balance
Checks your MessageFlow account balance and current usage limits.
019d75d3get delivery status
Retrieves the real-time delivery status for a specific message ID.
019d75d3get template
Fetches the detailed content and metadata for a specific saved message template.
019d75d3list channels
Lists all communication channels that MessageFlow supports, along with their configurations.
019d75d3list messages
Retrieves a list of all messages you have previously sent through the platform.
019d75d3list templates
Lists all available message templates stored in your account.
019d75d3send email
Sends a complete email message to a specified recipient address.
019d75d3send generic message
Sends a basic text message through any available communication channel.
019d75d3send sms
Dispatches a standard SMS text message to a phone number via SMS gateway.
019d75d3send whatsapp
Sends a structured message specifically through the WhatsApp channel.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with MessageFlow, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
MessageFlow lets you run every message—SMS, WhatsApp, and email—through a single API layer. Your AI client uses this server to handle outgoing communications, track delivery status in real time, check your account balance, and use saved templates without needing to switch between vendor dashboards. You control the whole flow from one spot.
Sending Messages Across Channels
When you need to send a message, you don't care if it’s going out via email, SMS, or WhatsApp; you just tell your agent what needs sending. To dispatch a full-featured text message through the standard SMS gateway, use send_sms. If you need something basic and quick, send_generic_message handles that across any available channel type.
For emails, send_email takes care of composing and sending complete messages to specific recipients. When you're talking WhatsApp, the structured format is handled by send_whatsapp. These functions let your agent treat all messaging—text, email, or chat—as one unified action.
Managing Templates and Content Consistency
You don't want your AI client generating copy on the fly for every campaign. MessageFlow keeps things clean with templates. You can first check what pre-approved messages are available by running list_templates. If you need to know exactly what a specific template contains, get_template fetches all the detailed content and metadata for that saved message.
Similarly, if you're trying to figure out which channels your agent should even use in the first place, list_channels gives you a full rundown of every supported communication channel along with its specific setup details.
Tracking and Monitoring Messages
Once a message goes out, you need receipts. If you want to confirm if a particular message ID was successfully sent, delivered, or failed, get_delivery_status pulls the real-time status for that unique transaction. You can also review everything your agent has ever sent by calling list_messages, which retrieves a complete list of all previous messages dispatched through the platform.
This lets you keep a perfect record.
Account Management and Limits
Before sending out anything, especially bulk comms, you gotta know if you've got funds. Use get_account_balance to check your current MessageFlow account balance and see what your usage limits are. This keeps you from hitting a paywall halfway through a major send.
This setup allows your agent to first confirm the available channels using list_channels, then check the balance with get_account_balance. It can list existing templates via list_templates and fetch the details for any specific one needing review using get_template. When ready, it sends messages using tailored functions like send_sms, send_whatsapp, or send_email.
After sending, it tracks the outcome immediately with get_delivery_status and keeps a history by pulling reports via list_messages.
How MessageFlow MCP Works
- 1 Subscribe to the MessageFlow server. This grants your agent access to the API tools.
- 2 Provide your unique MessageFlow API Key to your AI client configuration.
- 3 Your AI client calls a specific tool (e.g.,
send_whatsapp) which runs the operation through MessageFlow.
The bottom line is, you tell your agent what needs sending or checking, and it handles the complex API calls to MessageFlow for you.
Who Is MessageFlow MCP For?
Anyone who runs automated communication campaigns—marketing teams, customer support managers, and backend developers. You're the person tired of writing separate code blocks or switching between vendor portals just to send a simple SMS follow-up. This server centralizes that entire process.
Needs to trigger multi-step campaigns (e.g., Send an email, wait 2 hours, then send a WhatsApp reminder using send_whatsapp).
Must track the entire customer interaction history across channels by running list_messages and checking status with get_delivery_status.
Builds reliable microservices that need to send high volumes of messages while constantly validating costs using get_account_balance.
What Changes When You Connect
- Omnichannel Reliability: Instead of writing separate code for WhatsApp, SMS, and email, the agent uses distinct tools like
send_whatsapp,send_sms, andsend_email. This lets you deploy a single communication flow that automatically routes based on need. It's cleaner than managing three different vendor SDK calls. - Proactive Error Handling: You don't wait for manual reports to see if a message succeeded. Running
get_delivery_statusimmediately after dispatching any message gives your agent instant feedback, allowing it to automatically trigger retries or alerts if the delivery fails. - Cost Control Built-In: Before sending out a high volume of messages—like in a batch campaign—the agent runs
get_account_balance. This prevents costly failures and ensures your workflow stops gracefully when credits are low. You don't want to run out of money halfway through a promotion. - Consistent Messaging: Templates keep your brand voice consistent everywhere. Using
list_templateslets the AI agent pull standardized content, so whether it’s an email or an SMS, the core message structure never changes. This saves time and keeps things professional. - Full Audit Trail: The
list_messagestool provides a complete history of every message sent. You can quickly audit communications for compliance checks or simply review what was said and when.
Real-World Use Cases
The Failed Follow-Up
A customer support agent sends an initial query via SMS using send_sms. A day later, the follow-up message fails to send. The agent asks their AI client: 'Check what happened with the last message.' The agent uses list_messages and then get_delivery_status, confirming failure. It then automatically drafts a new email through send_email explaining the issue, solving the problem without manual intervention.
The Campaign Deployment
A marketing manager needs to run an anniversary campaign. They first check their budget using get_account_balance. Next, they ask for available copy and use list_templates to select the correct message. The agent then uses a combination of send_whatsapp and send_email to dispatch the personalized messages across both channels simultaneously.
The Incident Response
A critical service alert needs immediate notification. Instead of manually calling three different APIs, the agent determines the necessary contacts using list_channels. It then calls send_generic_message for SMS and send_email simultaneously to guarantee maximum reach. The process is contained in one clean workflow.
The Data Audit
Compliance requires a log of all communications sent last quarter. The user directs their agent: 'Give me every message ID and its final status.' The agent calls list_messages and then iterates through the IDs, using get_delivery_status for each one to build a comprehensive compliance report.
The Tradeoffs
Treating all messages as generic text.
The developer writes one block of code calling send_generic_message() and expects it to work for WhatsApp, SMS, and email. This fails because each channel requires different headers, formatting, and endpoints.
→
Don't rely on a single function. Use the dedicated tools: use send_whatsapp for WA content, send_sms for standard texts, and send_email for professional mail. Specificity is key.
Sending messages without checking credits.
The campaign runs a large batch of 10,000 emails, only to fail abruptly on message 9,500 because the API call didn't verify remaining funds first. This wastes time and requires manual restart.
→
Always check get_account_balance at the start of any bulk operation. Your agent verifies credits before running the dispatch tools.
Assuming immediate delivery success.
The system sends a message and immediately reports 'Success!' but never knows if the recipient's phone was off or spam-filtered. The user thinks they are done when, in reality, the message is stuck in limbo.
→
After every send operation (like send_sms), follow up with get_delivery_status to get a definitive status report. Don't assume success; confirm it.
When It Fits, When It Doesn't
Use MessageFlow if your core problem is omnichannel consistency. You need one source of truth for message sending, tracking, and billing across SMS, WhatsApp, and Email. This server excels when you must coordinate multiple communication steps (e.g., 'Send email A, then wait 30 min, then send WA B').
Don't use this if your only need is to communicate with a single service (e.g., only sending emails via SendGrid). In that case, a dedicated Email API might be simpler. But if you need the AI agent to manage the complex handoff between multiple communication methods and track status across all of them, MessageFlow is the right choice.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MessageFlow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually coordinating multi-channel messages takes too much time.
Today, sending a customer follow-up means opening your CRM, copying their number; then switching to the WhatsApp Business portal and pasting the message. If you need an email blast later, you open a third dashboard entirely. You're constantly copy-pasting data and jumping between vendor UIs just to complete one simple conversation.
With MessageFlow MCP Server, that entire process disappears. Your agent handles it all: you tell it 'Send the follow-up message,' and it runs `send_whatsapp`, verifies your balance with `get_account_balance`, and logs the ID using `list_messages`. The whole thing happens in a single chat window.
MessageFlow MCP Server: Track status, manage templates, dispatch messages.
The biggest time sink is tracking delivery. You send 500 SMS alerts and then have to log into the dashboard for each one to see if they succeeded or failed. That's tedious data collection that slows down your response time.
Now, you just ask your agent to 'Check the status of those messages.' It runs `get_delivery_status` for every ID and spits out a clear report: delivered, failed, or pending. You get real-time operational intelligence without touching a dashboard.
Common Questions About MessageFlow MCP
How do I check if my MessageFlow account has enough credits? +
Run the get_account_balance tool. This returns your current credit balance and usage limits, letting you verify funds before any large send operation.
Can I use different channels in one conversation? (MessageFlow MCP Server) +
Yes. The agent can orchestrate the flow by calling multiple tools, like first using send_whatsapp and then following up with an email via send_email.
How do I track a specific message that was sent? +
Use the get_delivery_status tool. You need the unique Message ID, which you first get from running list_messages, to check its current status.
What is better: sending a generic message or using templates? (MessageFlow MCP Server) +
You should use list_templates and then reference the template ID. Templates ensure consistent, approved copy every time, which is much safer than letting the agent generate raw text.
When using the `list_messages` tool, what API key credentials are required for the MessageFlow MCP Server? +
You need a valid MessageFlow API Key. Your AI client uses this single credential to authenticate all operations, including listing messages and checking balances. Make sure your subscription is active before attempting any reads.
If I use the `send_whatsapp` tool, how does the MessageFlow MCP Server handle common delivery failure codes? +
The server returns specific error codes for failures; you'll get a code and an associated description. Common errors include 'Recipient Blocked' or 'Invalid Number Format.' Your agent can read these codes to decide if it needs to retry.
When calling `get_template`, can the MessageFlow MCP Server handle dynamic variable substitution? +
Yes, templates support dynamic variables. You simply map the required data fields (like name or order ID) into the template payload when invoking the tool. The server handles the merging and formatting for you.
Does the MessageFlow MCP Server enforce any rate limits when I use `send_email`? +
The platform enforces sending limits based on your account tier. If you hit a rate limit, the tool will fail with an explicit 'Rate Limit Exceeded' error code. You must implement backoff logic in your agent to respect this limit.
How do I find my MessageFlow API Key? +
Log in to MessageFlow, go to the Dashboard, and look for API Settings or Integration to generate your key.
Can I send messages to multiple channels? +
Yes, MessageFlow supports SMS, WhatsApp, and Email. Use the specific tool for each channel or the generic message tool.
Is my communication data secure? +
Absolutely. Your token is encrypted at rest and injected securely at runtime.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Lamha
Build AI chatbots for Arabic-speaking audiences with natural language understanding designed for Middle Eastern dialects.
Daktela
Handle customer interactions across phone, email, chat, and social media from one omnichannel contact center platform.
Wbiztool
Manage your WhatsApp Business account with bulk messaging, contact management, and campaign analytics for marketing teams.
You might also like
Campaign Monitor
Manage email marketing via Campaign Monitor — track campaigns, manage subscribers, and monitor performance directly from any AI agent.
Pika
Equip your AI agent with Pika Labs native video generation. Create text-to-video, animate images, generate sound effects, and lip-sync programmatically.
Flodesk
Design gorgeous email campaigns with intuitive templates that grow your audience and reflect your brand without design skills.