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.
Dripify is a GUI campaign builder you click through in a browser tab. It gets you a clean UI, drip sequences, and real warm-up safety limits. What it can't do is think - you still build the list, write the copy, set the steps, and read the replies yourself.
Zevari moves the brain and the hands into your agent. It finds people by signal, scores them against your ICP, writes in your voice, builds the sequence, and triages the replies - and stages every write for your approval before it touches LinkedIn. Same warm-up safety mechanics. No browser extension. No cookies.
The core difference
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 an agent you instruct. You run it from inside Claude Code or Codex, and the agent does the deciding. The category is the gap: Dripify is a LinkedIn automation tool. Zevari is the LinkedIn execution layer - reachable over MCP for Claude Code and Codex, or our REST API from your own code. One is a destination you click into; the other is hands your agent already has.
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.
"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.
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
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 connection itself, and 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, minus the cookie, plus a human approval gate on every single write.
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.
Drafts trained on your sent messages, so outreach sounds like you - not a template with merge variables you wrote yourself.
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.
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 is a web app you log into and click through. Zevari is a hosted MCP server your agent connects to - 135 MCP tools for search, signals, campaigns, inbox, and content. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code.
claude mcp add zevari https://mcp.zevari.ai/mcpThat means your GTM brain and your execution layer are the same agent. Instead of clicking through a campaign builder, you tell your agent what you want and it runs the engine. And because Zevari holds hosted state, your campaigns keep advancing and your follow-ups keep firing on schedule - the persistent scheduling Claude Code or Codex can't keep on its own.
Safety
Cookie-based browser automation - the way Dripify and most of the category touch LinkedIn - is the single most common reason an account gets flagged. Zevari keeps Dripify's warm-up discipline, drops the cookie, and adds an approval gate on every write. A year of the founder running his own account on it. Zero ban incidents to date - the receipt, not an adjective.
Read the full safety modelSide by side
Here's the straight version - where Dripify's job ends and Zevari's begins.
LinkedIn automation tool (GUI plus browser)
LinkedIn execution layer for Claude Code or Codex (hosted MCP)
Clicking through a campaign builder in a browser tab
Instructing your agent in plain language
Yours - you build the lists, copy, and steps
Your agent's - it finds, scores, writes, and sequences
Browser-session / extension (cookie-based)
Managed session, no browser cookies
Static lists and filters you import
Signal-based: posted-in-30-days, ICP 1-5 with reasons
Templates and variables you write
Voice DNA - trained on your sent messages
Yes - limits, delays, ramps
Yes - same mechanics (parity), plus burst caps
No - sends on schedule once live
Yes - every write staged for human approval
You read and sort replies yourself
Inbox Radar classifies by intent, stages drafts
A web app you log into
Inside Claude Code or Codex (or any MCP client)
n/a - it's a GUI you have to drive
We run the same approval-gated engine for you
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 every send.
FAQ
Yes, but it's a different category, not a clone. Dripify is a GUI campaign tool you operate yourself in a browser. Zevari is the LinkedIn execution layer for Claude Code or Codex - your agent finds and scores the people, writes in your voice, builds and advances the sequences, and triages the inbox, while you approve every send. Many people switch when they want the intelligence and the inbox work done for them, not just the sends paced.
No. Dripify and most of the category lean on browser-session automation, which is the most common reason LinkedIn flags an account. Zevari uses a managed, session-based connection with no browser cookies and never logs in as you in a browser to act - so the logs look like you, not like a script. Same warm-up safety discipline as Dripify, minus the cookie, plus a human approval gate on every write.
No tool can put zero in writing, and anyone who does is lying to you. What we can put in writing is the mechanism: every write action is staged for your approval, the connection is session-based with no browser cookies, and weekly ceilings (40 free, 80 Premium, 150 Sales Navigator) plus working hours, behavioral pacing, duplicate checks, and burst caps are enforced automatically. The model was refined over a year of the founder running his own account on it, with zero ban incidents to date.
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.
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.
It stages them. Every message, connection request, comment, and post is drafted by your agent and held for your approval - from inside Claude, or from a Slack or email digest if we run the engine for you. You approve, then it sends. Nothing goes out automatically.
Then we run it for you. Our managed tier sets up the workspace, builds the scheduled campaigns, runs them on our infrastructure, and sends every message to you to approve from Slack - typically less than the appointment setter or AI SDR you're already paying for the same job. You reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code, when you'd rather run it yourself.
Same approval-gated engine, two ways in. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code.
Get the hosted LinkedIn MCP, all 135 MCP tools, Voice DNA, signal targeting, campaigns, and Inbox Radar - self-serve. Connect over MCP for Claude Code and Codex, or call our REST API from your own code.
Connect to Claude CodeYou don't run Claude Code, but you want the same approval-gated engine working your pipeline instead of a GUI you have to drive. We set it up, run it on our infrastructure, and send every message to you for approval from Slack - typically less than your appointment setter.
We run it for youZevari - the LinkedIn execution layer for Claude Code or Codex. Your agent sleeps; your pipeline doesn't.