Mav MCP. Automate SMS Lead Qualification via Your AI Client
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Mav is your MCP server for conversational SMS automation. It connects any AI client—Claude, Cursor, or your agent—to run sophisticated lead qualification playbooks directly via SMS.
Instead of manual follow-ups, you trigger automated conversations to qualify new leads instantly and track their status in real time.
Use Mav to manage entire engagement sequences through natural chat flow.
Retrieves a list of all available AI-driven conversational playbooks configured in your Mav account.
Starts an automated SMS conversation using a specified playbook ID and target phone number, beginning the qualification process immediately.
Checks the most recent status or outcome reached by a specific lead ID in your pipeline.
Retrieves detailed data points and current status information for a given lead ID.
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What you can do with this MCP connector
Mav handles your conversational SMS automation, letting your AI client—be it Claude, Cursor, or whatever agent you're running—run complex lead qualification playbooks straight through text messages. You don't gotta manually follow up with every new prospect anymore; Mav kicks off automated chats that qualify leads instantly and keep track of where they land in your pipeline.
It manages the whole engagement sequence using natural chat flow.
When you connect to Mav via the Model Context Protocol, you gain full control over running sophisticated marketing playbooks directly through SMS conversations. Here's what the tools let you do:
List Playbooks. You can pull a list of every AI-driven conversational playbook already set up in your account. This lets you quickly see all the different qualification paths or conversation strategies you have ready to deploy without having to guess which one works best.
Trigger Lead Conversation. If you've picked the right playbook and got the target phone number, this tool starts the automated SMS chat immediately. It kicks off the qualification process using a specific playbook ID, so your agent doesn't waste time figuring out how to start talking—it just gets it done.
Inspect Lead Metadata. You can pull up detailed data points for any given lead ID. This isn't just checking a box; you get all the raw info and current status details associated with that lead, letting you know exactly what kind of person they are in your system records.
Get Lead Outcomes. To check where a specific lead is right now, you use this tool. It tells you the most recent status or outcome that the lead reached within your pipeline. You instantly know if they qualified, dropped out, or hit some other milestone—you don't have to wait for an email update.
Think about it: instead of juggling multiple tabs and manually logging notes after a quick chat, Mav keeps everything centralized. You trigger the initial conversation using the playbook ID, then you use Inspect Lead Metadata to grab all the background details on that lead. If you need to know their qualification status—whether they're hot or cold—you hit up Get Lead Outcomes.
And if you gotta see what other playbooks you can run next week? Just call List Playbooks and pull the whole roster of strategies available. It’s about having a predictable, automated process that doesn't rely on someone remembering to send that follow-up message.
Mav gives your agent reliable access to manage entire client engagements through chat-driven automation. You just point it at the lead and let the system handle the heavy lifting.
How Mav MCP Works
- 1 Subscribe to the Mav MCP server and provide your API Key.
- 2 Your AI client sends an instruction (e.g., 'Qualify this new lead').
- 3 The agent calls the
trigger_lead_qualificationtool, starting the conversation flow via SMS.
The bottom line is that you never have to leave your AI workflow to manage or track conversational leads again.
Who Is Mav MCP For?
Marketing operations managers and sales development reps (SDRs) who are sick of manual lead nurturing. If your team spends too much time copying data between a CRM, an SMS platform, and a spreadsheet just to figure out if a lead was qualified, this is for you. You need automated conversations that report back structured results.
Uses the server to instantly trigger qualification playbooks on cold leads and gets immediate status updates to know who's ready for a human handoff.
Manages and tests various conversational funnels (playbooks) using the list_playbooks tool, ensuring automated messaging aligns with marketing goals.
Uses this server to track lead progress—getting detailed metadata or checking outcomes for bulk lists of leads without logging into the primary SMS dashboard.
What Changes When You Connect
- Instant Qualification: Use the
trigger_lead_qualificationtool to start an automated, natural conversation with a cold lead. You get immediate confirmation that the sequence has begun for a given number. - Full Playbook Visibility: The
list_playbookstool lets your agent inspect every conversational playbook you've built—whether it's 'Real Estate Qualification' or 'Solar Interest Check.' No more guessing which funnel to run. - Real-Time Status Tracking: Instead of logging into the SMS dashboard, use
get_lead_outcomesto ask your agent directly: 'What was the last outcome for lead 9876?' You get a clean status report instantly. - Deep Lead Context: The
get_lead_metadatatool pulls all available context on a lead—not just the final score, but detailed history and metadata. This is critical before handing off to a human salesperson. - Actionable Workflow Control: You move beyond simple messaging. By managing playbooks via tools like
trigger_lead_qualification, you build complex, automated workflows that act as miniature sales reps.
Real-World Use Cases
Following up on a trade show list
You get a spreadsheet of 50 cold contacts from a trade show. Instead of sending generic emails, you ask your agent to run the 'Real Estate Qualification' playbook for all numbers using trigger_lead_qualification. You then use get_lead_outcomes hours later to filter out everyone who hit the 'Qualified' outcome.
Building a new qualification flow
Marketing just launched a solar product. Before writing any SMS copy, you ask your agent to run list_playbooks. You see existing playbooks but realize you need something different, so you can build and test the new funnel before deployment.
Investigating a stalled lead
A hot lead suddenly goes silent. You don't know why they stopped responding. Instead of waiting, your agent calls get_lead_metadata for that lead ID to pull the last recorded touchpoint and check if any issues were flagged.
Testing multiple sales funnels
You want to see which message resonates best. You ask your agent to run 'Lead Qual' for one number, then immediately repeat the process with a different playbook ID. The automation allows you to A/B test qualification strategies quickly.
The Tradeoffs
Treating it like simple bulk SMS
Trying to send 100 generic messages at once and hoping some people reply. This wastes credits and gives no insight into why they didn't reply.
→
Don’t just blast messages. First, use list_playbooks to select a proven playbook, then use trigger_lead_qualification for each lead. This ensures the conversation is structured, not random.
Ignoring lead context
A salesperson gets an alert and calls the lead, but has no idea if the last interaction was a 'Qualified' status or just general engagement.
→
Always call get_lead_outcomes before handing off. This gives your team the precise state of the lead—was it qualified? Was it ignored? You need that specific outcome.
Over-relying on one playbook
Using the same generic 'General Interest' playbook for a high-value industrial client and a low-value consumer. The conversation will feel off.
→
Use list_playbooks to check your library. Use specific funnels—like 'Real Estate Qualification' vs. 'Solar Interest Check.' The right tool matters.
When It Fits, When It Doesn't
Use this server if your primary bottleneck is structured, conversational lead qualification via SMS. You need the ability to define complex sequences of messages (playbooks) and then reliably query the outcome or detailed status of those sequences. The core value here is turning unstructured conversation into clean metadata.
Don't use this server if you simply need to send basic, one-off broadcast messages—a standard SMS API handles that fine. Also, don't use it if your biggest pain point is updating a specific field in a complex CRM record (like Salesforce); while get_lead_metadata gives data, integrating the write back into a full ERP system requires specialized connectors beyond Mav’s scope.
It works best when you pair structured playbooks with status checking. If you can list your plays and then check their results, this is exactly what you need.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mav. 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.
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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 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manual lead follow-up shouldn't feel like a full-time job.
Right now, figuring out who to call next means jumping between your CRM dashboard, the SMS platform logs, and maybe even a shared sheet. You copy down a phone number, trigger a manual message flow, and then later you have to manually check status reports—it's click-by-click administrative hell.
With Mav MCP Server, that whole process is contained within your AI client. You ask it to 'Run the qualification playbook for this list,' and it handles the SMS interaction. Then, asking for `get_lead_outcomes` gives you a single answer: qualified, nurturing, or cold. Done.
Mav MCP Server: Automate lead engagement from chat.
Manual steps that vanish include selecting the right playbook ID, manually initiating the SMS message sequence, and then logging into a separate reporting tab just to see if the conversation hit its 'Qualified' endpoint. This is pure administrative overhead.
Now, your agent handles the entire lifecycle. You manage playbooks, initiate conversations with `trigger_lead_qualification`, and confirm results using `get_lead_outcomes`. It’s all one chat command, giving you immediate clarity.
Common Questions About Mav MCP
How does Mav MCP Server work with my existing SMS platform? +
Mav connects to your service via the API key. It acts as a conversational layer on top of your messaging infrastructure, allowing your agent to tell it what conversation to run and who to send it to.
Can Mav MCP Server handle multiple types of leads? +
Yes. The list_playbooks tool lets you manage different playbooks—like one for 'Solar Interest' and another for 'Real Estate Qualification.' You just trigger the right one.
What happens if a lead reply is unexpected? +
The playbook handles conversational flow. The system tracks real-time events, ensuring that even if the conversation deviates from the script, the outcome and metadata are updated for you to review later.
How many tools does Mav MCP Server have right now? +
Mav exposes four key tools: list_playbooks, trigger_lead_qualification, get_lead_outcomes, and get_lead_metadata.
When I first set up my agent to use the `List all my Mav playbooks` tool, what credentials do I need? +
You must provide your Mav API Key for authentication. Your AI client uses this key to securely connect and manage your account, ensuring every call is tracked against your usage limits.
Are there rate limits if I frequently use the `Trigger 'Lead Qual' playbook for [number]` command? +
Yes, Mav enforces specific rate limits to maintain service reliability. If you exceed them, the API will return a clear error code (HTTP 429), allowing your agent to pause and retry automatically.
What detailed data points do I get when using the lead ID lookup command? +
The system returns structured metadata detailing the final status, the time of conversion, and which specific playbook drove that outcome. This lets your agent log highly accurate records for reporting.
If I want to change or delete a playbook after running `List all my Mav playbooks`, can the MCP server do it? +
The MCP server is built for execution, not modification. While you list and trigger them here, modifying or deleting actual playbooks requires using the dedicated Mav platform dashboard.
How do I find my Mav API Key? +
Log in to your Mav dashboard and navigate to Settings to find your API Key.
Can I trigger a playbook for a specific phone number? +
Yes! Use the trigger_playbook tool and provide the playbook ID and the lead's phone number.
Is my 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.
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