Signal-based targeting
Instead of importing a static list, your agent finds people by signal - who posted in the last 30 days, who's publishing about your topic right now - and scores each one against your ICP from 1 to 5 with the reasons.
Zevari vs Dripify
Zevari vs Dripify: the Dripify alternative with MCP access
Looking for a Dripify MCP? Dripify is a LinkedIn campaign builder you click through in its web app: you build the list, write the copy, set the steps, and read the replies yourself. Zevari is a full outbound department, running today: your AI SDR team for LinkedIn and email. It finds people by signal, scores them against your ICP, writes in your voice, and triages the replies. Run it from the Zevari app or over MCP from Claude Code, Codex, or ChatGPT. Sends wait for your approval by default.
Updated
The core difference
A tool you operate vs an agent that operates
Dripify is software you drive. You log into a web app, build a campaign in the UI, paste your list, write your sequence, and watch a dashboard. The intelligence is yours; Dripify executes the clicks you've already decided on. That's fine until your list is wrong, your copy reads like a template, and your inbox fills with replies you have to sort by hand.
Zevari is a team that does the deciding. Six specialists find, score, write, follow up, and qualify replies, and you approve each send. The category is the gap: Dripify is a LinkedIn automation tool. Zevari is your AI SDR team for LinkedIn and email - run from the Zevari app, or over MCP from Claude Code, Codex, or ChatGPT.
It decides, you don't click
"Find founders hiring an SDR, score them, draft warm notes in my voice, stage the first 20." That's the whole interaction. Dripify has no model of you, your ICP, or your voice - it runs the steps you built.
Campaigns it builds and advances
Your agent builds the sequence, advances each target on schedule, and keeps it moving in hosted state - not a drip you assemble by hand in a campaign builder.
Parity-plus
We matched the warm-up safety - then added the approval gate
Give Dripify its due: its safety model is real. Warm-up ramps, daily and weekly action limits, randomized delays, activity caps - those mechanics are why Dripify outlasted the dumber automation tools, and we studied them. On the warm-up mechanics, treat this as parity. We didn't reinvent the wheel where Dripify already got it right.
Where we diverge is the layer Dripify doesn't have: Dripify's safety is about pacing - how fast you act - but it never puts a human between the draft and the send. So the honest framing is parity-plus: same warm-up safety discipline, plus a human approval gate before sends by default.
Warm-by-default
Profile views, reactions, and genuine comments before any ask. The same class of warm-up safety Dripify uses, held in hosted state so a newer account ramps gradually instead of sprinting into restrictions.
Voice DNA
Drafts trained on your sent messages, so outreach sounds like you - not a template with merge variables you wrote yourself.
Inbox Radar
Replies classified by intent and on-brand responses staged for your approval, so you stop sorting the inbox by hand to find the one reply that matters.
Approval gate on writes by default
Dripify paces how fast you act but sends on schedule once live. Zevari puts a human between the draft and the send - every message, request, comment, and post waits for your sign-off.
Where it lives
Dripify MCP: run LinkedIn outreach from your AI
Dripify is a web app you log into and click through. Zevari also runs from inside your AI: add the hosted Zevari LinkedIn MCP to Claude Code, Codex, ChatGPT, or any MCP client, and your AI directs the same six specialists. Technical teams can also call the REST API from their own code.
Add to Claude Code, then run /mcp to sign in
claude mcp add --transport http zevari https://mcp.zevari.ai/mcpInstead of clicking through a campaign builder, you tell your AI what you want and the team does the work. Because Zevari holds hosted state, campaigns keep advancing and follow-ups keep going out on schedule between sessions, and sends still wait by default for your approval.
Safety
"I don't want to be banned." That's the number one thing buyers tell us.
Cookie-based browser automation is the single most common reason an account gets flagged, and Zevari never uses it. Zevari keeps the warm-up discipline tools like Dripify use and adds an approval gate before sends by default. The limits it enforces are published on the safety page.
Read the full safety modelSame warm-up discipline as Dripify - warm-by-default actions, ramps, and behavioral pacing - treated as parity, not reinvented.
A hosted connector with no browser extension and no cookie injection. We never log in as you in a browser to act.
Enforced ceilings: 150 connection requests a week on Free* and Premium, 200 on Sales Navigator, plus a daily cap on all actions.
* Free accounts: LinkedIn caps connection requests that carry a note at 5 a month. The weekly ceiling covers requests sent without a note, and Premium and Sales Navigator accounts get a far larger allowance for requests with a note. Most outreach uses a note, so Premium or Sales Navigator is the practical choice for real outbound - the full explanation is on /safety.
Working hours, duplicate checks, and burst caps - plus a human approval gate before sends by default.
Side by side
A GUI you drive vs an agent that drives itself
Here's the straight version - where Dripify's job ends and Zevari's begins.
Dripify
Zevari
What it is
Dripify
Cloud-based LinkedIn automation tool (web app)
Zevari
Your AI SDR team for LinkedIn and email, in the app or over MCP
You interact by
Dripify
Clicking through a campaign builder in its web app
Zevari
Instructing your agent in plain language
The intelligence
Dripify
Yours - you build the lists, copy, and steps
Zevari
Your agent's - it finds, scores, writes, and sequences
Connection method
Dripify
Cloud-based; no browser extension required
Zevari
Hosted connector, no browser extension, no cookie injection
Targeting
Dripify
Static lists and filters you import
Zevari
Signal-based: posted-in-30-days, ICP 1-5 with reasons
Message copy
Dripify
Templates and variables you write
Zevari
Voice DNA - trained on your sent messages
Warm-up safety
Dripify
Yes - limits, delays, ramps
Zevari
Yes - same mechanics (parity), plus burst caps
Approval gate
Dripify
No - sends on schedule once live
Zevari
Yes - sends staged for human approval by default
Inbox
Dripify
You read and sort replies yourself
Zevari
Inbox Radar classifies by intent, stages drafts
Where it runs
Dripify
A web app you log into
Zevari
The Zevari app, or Claude Code, Codex, ChatGPT, or any MCP client
If you don't run it yourself
Dripify
n/a - it's a GUI you have to drive
Zevari
The six specialists run it from the Zevari app; sends wait for your approval by default
When Dripify is still the right call: if you don't use Claude or Codex and don't want anyone running it for you, a self-contained GUI is a reasonable fit - you click, it drips, done. If all you need is a fixed sequence to a list you already trust, and you're happy to write the copy and sort the inbox yourself, Dripify covers it. The line you cross is the moment you want smart targeting, copy that sounds like you, replies sorted for you, and an approval gate on sends by default.
FAQ
Questions buyers ask when they're switching
Is Zevari a Dripify alternative?
Yes, but it's a different category, not a clone. Dripify is a campaign tool you operate yourself in its web app. Zevari is your AI SDR team for LinkedIn and email - it finds and scores the people, writes in your voice, builds and advances the sequences, and triages the inbox, with sends waiting for your approval by default. Many people switch when they want the intelligence and the inbox work done for them, not just the sends paced.
Does Zevari use a browser extension or cookies?
No. Zevari uses a hosted connector with no browser extension and no cookie injection, and never logs in as you in a browser to act. Dripify is also cloud-based and does not need an extension. Where the two differ is the work: Zevari finds, scores and writes, and by default puts a human approval before every send.
Will Zevari get my LinkedIn account banned?
No tool can promise that. What we can put in writing is the mechanism: by default every write action is staged for your approval, the connector uses no browser extension and no cookie injection, and 150 connection requests a week on Free* and Premium accounts (200 on Sales Navigator), a daily cap on all actions, working hours, behavioral pacing, duplicate checks, and burst caps are enforced automatically. When a limit is reached, the action waits. The weekly figure covers connection requests sent without a note: LinkedIn caps requests that carry a note at 5 a month on a free account, and gives Premium and Sales Navigator a far larger allowance, so Premium or Sales Navigator is the practical choice for real outbound (see /safety).
Is there a warm-up sequence before outreach?
Yes - Zevari is warm-by-default. It views profiles, reacts, and leaves genuine comments before any ask, and it runs persistent warm-up state so a newer account ramps gradually instead of sprinting into restrictions. This is the same class of warm-up safety Dripify uses, held in hosted state between sessions.
Can it find people posting about a topic and reach out to them?
Yes. Instead of importing a static list the way you would in Dripify, your agent finds people by signal - who posted in the last 30 days, who commented on or liked a specific post, who's publishing about a topic right now - scores each one against your ICP from 1 to 5 with the reasons, and reaches only the high-intent ones.
Does it actually send the messages, or just draft them?
It stages them. Every message, connection request, comment, and post is drafted by your agent and held for your approval - in the Zevari app, from inside your AI, or from a digest. You approve, then it sends. By default nothing goes out automatically.
Is there a Dripify MCP, and can I run LinkedIn outreach from Claude?
We do not make claims about Dripify's integrations or roadmap; check Dripify's own documentation. If you want to run LinkedIn outreach from your AI, Zevari provides a hosted LinkedIn MCP for Claude Code, Codex, ChatGPT, and any MCP client. You do not need one, though: the same six specialists run from the Zevari app, and sends wait for your approval by default either way.
Run it from Claude Code, or let the team run it
Same approval-gated engine, two ways in. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code.
You run Claude Code or Codex
Get the hosted LinkedIn MCP with the same six specialists, Voice DNA, signal targeting, campaigns, and Inbox Radar. Connect over MCP for Claude Code and Codex, or call our REST API from your own code.
Connect to Claude CodeLet the team run it
You don't run Claude Code, but you want the same approval-gated engine working your pipeline instead of a GUI you have to drive. The same six specialists, Prospecting, Signals, ICP Scoring, Voice Writer, Follow-up, and Reply Qualifier, run your LinkedIn and email outbound from the Zevari app. Sends wait for your approval by default.
Build my AI teamZevari - a full outbound department for LinkedIn and email. Sends wait for your approval by default.