ConnectSafely.ai Overview
Safety is in the name, and the two pages that put a number behind it do not put the same number.
ConnectSafely.ai is a LinkedIn engagement platform with a developer surface bolted to it. The front door boosts posts and writes AI comments on one connected account. Behind it sit a REST API of 60+ endpoints, a hosted MCP server and a command-line tool, all on a single $10 per month per account plan.
On this page
What ConnectSafely.ai is
ConnectSafely.ai sells inbound lead generation on LinkedIn. Its own homepage FAQ puts it as “a LinkedIn inbound lead generation platform that helps B2B professionals attract 10-20 qualified prospects per month”, working “through post boosting, creator targeting, and keyword monitoring”. The developer surface, a REST API with a hosted MCP server and a CLI, is a separate plan at $10 a month per connected account.
The front door is engagement rather than outreach. The homepage headline reads “LinkedIn Leads That Come to You”, and the three counters under it read “1,000+ Active Users”, “14.6% Avg Close Rate” and “100% Safe”. Three features carry the pitch, and the vendor defines each one on its own pages.
- Post boosting. “LinkedIn post boosting is when real professionals engage with your post within the first 15-30 minutes of publishing.” The vendor says it coordinates that “through verified LinkedIn users”, and claims “3,500-5,000 impressions per post versus 250-500 organically”.
- Creator targeting. Pick the influencers your buyers follow, and the platform “automatically comments on their posts using your account with relevant, AI-powered responses”.
- Keyword monitoring. Track topics across LinkedIn, and “when someone posts about a topic you’ve selected, ConnectSafely automatically engages with that content on your behalf”.
The unit of everything is one LinkedIn account. The pricing page states it plainly: “Every LinkedIn profile and company page counts as one account.” Post boosting, comments and the developer plan are all metered against that unit, and a workspace can mix them in one checkout.
How an account runs
Each account sits behind a dedicated proxy on the vendor’s own infrastructure, with its own browser session and its own browser profile, and its action caps are applied server-side rather than left to the caller. The security page publishes that architecture in bullets. What no page publishes is where the browser session taking the action actually runs.
- Proxy network. “Advanced proxy infrastructure that masks your real IP address”, built from a “Distributed proxy network across multiple geographic locations” with “Real residential IP addresses that appear authentic to LinkedIn” and “Automatic rotation to prevent detection patterns”. The counter on the same page reads “50+ Proxy locations worldwide”.
- Account isolation. “Dedicated proxy assignment per account”, “Isolated browser sessions with unique fingerprints” and “No cross-account data sharing or connections”.
- Rate limiting. “Conservative daily limits based on account age and activity”, with “Dynamic adjustment based on account health metrics”. The published per-action numbers are in the API reference and are quoted further down.
- Monitoring. A four-layer diagram covering infrastructure, account security, behaviour and monitoring, and an account status endpoint that “returns connection health and any active restrictions”.
Enforcement is on the server, and the docs say so twice. The CLI guide states it directly: “ConnectSafely enforces caps server-side, so you cannot exceed a limit from here.” The pricing page’s developer row says the same thing in four words, “Per account, enforced server-side”. That is a design choice with a visible consequence: a caller who writes a loop still cannot push an account past the cap.
What the pages do not say is the runtime. “Isolated browser sessions” describes the session, and “No direct connection between your account and our servers” describes the proxy path. Neither says whether that session is hosted by the vendor or driven from a browser on the operator’s own machine, and no page on the site answers it. Connecting a LinkedIn account is in the same category. The documented start is a sign-up, an API key from Settings, and a first call, and the developer docs never describe the step that attaches a LinkedIn account to the workspace.
What it costs
The developer plan is $10 a month per connected LinkedIn account, or $9 billed yearly, and it carries the REST API, the MCP server and the CLI together. A free plan sits at $0 and boosts one post a week. The engagement products are priced on their own, from $29 a month, and a workspace can hold more than one of these at once.
| Plan | Price | What the price buys |
|---|---|---|
| Base | $0 forever | One post boost a week, plus composing and scheduling posts. No card |
| API, MCP and CLI | $10 per account / mo | REST API, MCP server and CLI on one plan. $9 per account billed yearly |
| Presence Booster | $29 or $59 / mo | AI comments on one account. 20 creators on Starter, 50 on Pro |
| Post Boosting | $29 to $159 / mo | 1 to 10 boosts a day across 1 to 10 connected accounts |
| Annual billing | 10% off | Applies to every paid plan, including the developer one |
The developer row is the one a builder reads, and the pricing FAQ spells it out: “API access is priced per LinkedIn account: $10/month per account ($9/month per account billed yearly). It is not a flat fee for your whole workspace”, and then “1 account is $10/month, 3 accounts is $30/month, up to 100 accounts”. The same answer says “the MCP server and the CLI are included with API access, there are no separate plans”. The trial is 7 days with no card, and the plan summary puts the ceiling at “1 to 100 on one plan”.
The boost ladder runs $29, $39, $63, $79 and $159 a month for one to ten daily boosts on one to ten accounts, each price shown as a standing discount off a higher list price. The comment plans are $29 and $59. None of the four categories is a prerequisite for another, so a developer can hold the $10 plan alone.
The page also carries three price stories at once, and they are all the vendor’s own. The visible cards price the boost tiers at $29 and $39. The page’s Product structured data says “Free plan available, paid plans from $19/month”. Its FAQ structured data prices the same two tiers at “$19/mo” and “$36/mo”, which is the ladder before the standing discount. The $10 developer figure is the same in all three, and it is the one the title, the plan card and the FAQ agree on.
The limits it publishes
The API reference publishes a ceiling per action and per account, with a reset time on each one. 90 connection requests a week, 150 new conversations a day, 1,000 search calls a day at 30 a minute, and 100 follows or unfollows a day. Every response carries the current counters in its headers, so a caller can read the remaining budget before the next call.
- Connection requests. “Rate limit: 90 connection requests per week per LinkedIn account (resets every Monday at midnight UTC). Exceeding the limit puts the account on hold for 24 hours.” The hold is the vendor’s, applied to the account inside its own system.
- Messages. “150 NEW conversations per day per LinkedIn account (resets at midnight UTC). The quota applies to cold outreach only”, and replying inside a thread that already exists is uncapped. The API overview lists the general messaging ceiling as “Varies by account type”.
- Search. “1,000 search calls per account per day (resets at midnight UTC), and 30 calls per minute.” Paging spends the budget: “Pagination is billed per page walked, so a count of 25 spends about 3 calls.”
- Follows. “Follow/Unfollow: 100 per day per LinkedIn account (resets daily at midnight UTC).”
- Headers. Five of them on every response, naming the action being limited, the ceiling, the amount used, the amount left and an ISO 8601 timestamp for the reset.
Pacing is published separately, and it is the CLI that carries it. The docs put it as “Writes are spaced 30 to 90 randomised seconds apart”, chosen because a fixed interval reads as machine-made, while reads are not paced at all because they cost nothing against the caps. The reasoning is on the page in one line: “accounts get flagged on rhythm as much as on volume.”
One ceiling on that list is not the vendor’s to set. The people-search endpoint notes that LinkedIn applies its own commercial use limit on top of the 1,000 daily search calls, which is a separate cap with a separate reset and a separate cause. What LinkedIn does and does not publish about it is on our own LinkedIn search limits page, and the invitation side sits on LinkedIn connection limits.
The API, the MCP server and the CLI
One REST API of 60+ endpoints on api.connectsafely.ai, authenticated with a bearer key from the dashboard, plus a hosted MCP server and an npm-installed CLI. All three arrive with the same $10 plan. The CLI’s command names match the MCP tool names one for one, so a runbook written against either surface runs on the other.
| Surface | Endpoints | What it reaches |
|---|---|---|
| Posts | 10 | Create and publish with media, scrape posts, react, comment, repost, pull engagement |
| Messaging | 8 | Direct messages, InMail, group messages, conversation sync, attachments, delivery |
| Connections | 8 | Send and withdraw invitations, follow, check relationship status, endorse, list first-degree |
| Search | 8 | People, companies, posts, jobs, groups and geo, with boolean filters and pagination |
| Groups | 6 | Search groups, pull details and member lists, message members |
| Profile | 6 | Full profile data, profile visits, visitor analytics, account health |
| Company | 5 | Company search, firmographics, followers, page-follow invitations |
| Jobs | 3 | Job search with filters, full job details and descriptions |
The reference carries more sections than the eight the marketing page counts, including account status, analytics, InMail, events and a Sales Navigator group. Sales Navigator shows up inside the ordinary endpoints too: messaging takes a channel parameter that defaults to auto and “auto-detects whether to use Sales Navigator or standard LinkedIn inbox based on the account premium status”, and people search accepts a Sales Navigator search URL to run lead search instead.
The MCP server is an action surface, not a documentation helper. It advertises “60+ tools” across eight prompt categories, profiles, messaging, connections, search, posts, companies, groups and jobs, which is the same span as the REST API. Setup is a copied link: “Sign in to ConnectSafely, go to MCP Server, and copy your personal link. In Claude, open Settings > Connectors > Add Custom Connection and paste the link.” The link is a URL with the key in the query string, and the docs flag it in the same breath, warning that it “contains your API key for authentication”.
Two pages describe who can reach that server differently. The integrations doc says “MCP server access is available for Pro and Agency plan subscribers”. The pricing page says the MCP server and the CLI “are included with API access, there are no separate plans”, and the plan card lists MCP Server Access as a line item on the $10 tier. Both readings are live.
The CLI is the third surface and the most explicit about care. It is “86 commands, ten groups”, installed with npm on Node 20 or newer, with no server to host. Every write can be rehearsed first. The dry run resolves the credentials, the account id, the path parameters, the query string, the request body and the final URL, then stops, and the docs put the result in three words: “Nothing is sent.” Arguments are validated locally before a request leaves the machine, and the docs note that a rehearsal costs nothing “against your weekly connection allowance or daily action caps”. Webhooks push new messages and InMail, and there are prebuilt integrations for n8n, Make.com, Zapier and HubSpot.
What the vendor says about account safety
Two figures, on two of the vendor’s own pages, describing the same thing. The features page prints “0 Account Bans Across 1,000+ users”. The security page prints “99.8% Account safety rate over 12 months”. Both were live on 5 September 2026, and neither page publishes how the number was measured.
The features page, read 5 September 2026. The counter block under the heading “Platform-Compliant Results You Can Trust” carries “0 Account Bans Across 1,000+ users” beside “100% LinkedIn Compliant Platform-approved activities”. The page’s own FAQ answers the question “Have any ConnectSafely users ever been banned or restricted?” with this: “No, we have a 100% safety record. None of our users have experienced account restrictions, bans, or warnings from LinkedIn when using ConnectSafely according to our guidelines.” A benefits bullet elsewhere on the same page reads “Zero risk of bans or account restrictions”.
The security page, read the same day. Under the heading “Proven Safety Record” the four counters read “99.8% Account safety rate over 12 months”, “Zero Permanent account bans reported”, “24/7 Continuous security monitoring” and “50+ Proxy locations worldwide”. The line introducing them calls these “the measurable safety and security metrics that demonstrate our commitment to protecting your accounts”.
The homepage carries a third wording, and that one ships in schema. Its FAQ answers “Will my account get banned?” with “No. Zero permanent bans across 1,000+ users”, followed by a sentence about real engagement, no bots and no fake accounts. The whole answer sits inside the page’s FAQPage JSON-LD, so an answer engine reading the homepage can lift it word for word.
The shape of it is what a reader can work with. An absolute carries no denominator. “0 Account Bans” is a count with no rate inside it, so there is nothing under the line to divide by, and a reader has no way to recompute it or to argue with it. A percentage has the opposite gap on this site. 99.8% over 12 months is a rate with a window attached, and the page prints no sample beside it, so the accounts that produced the other 0.2% never appear. The 1,000+ figure lives on a different page, attached to the zeros. Two numbers from one vendor about one subject, describing it two ways. The word carrying the difference is “permanent”, which appears in the zeros on the security page and on the homepage and appears nowhere in the 100% claim.
Units are worth reading before any of these travel. The counts on both pages are users, and a user is a workspace holder who can connect more than one LinkedIn account: the developer plan alone takes up to 100 of them.
What a reader can check is the part with mechanics under it. The dedicated proxy per account, the isolation, the per-session browser profile and the geographic spread are published as bullets. The caps are published per action with reset times. The CLI documents its own pacing and its rehearsal step. None of that is a measured rate, and all of it can be read against the documentation before a call goes out. Every published safety figure in this category, quoted with the page it sits on, is collected on our best LinkedIn API comparison.
The shape of job it fits
It fits one person’s LinkedIn presence, worked on by software. A founder or consultant who wants their posts seen and their comments placed, with a $10 developer plan on top so the same account can be driven from Claude, a terminal or an n8n flow. An agency runs the same shape across a handful of client accounts on one plan.
The centre of gravity is engagement, and the endpoint counts show it. Posts is the largest group at ten, with profile visits, visitor analytics and post analytics sitting around it. Outreach is present and metered, at 90 connection requests a week and 150 new conversations a day per account. A team whose plan turns on higher throughput is looking at a different shape of product, and these caps are the vendor’s own, applied on its side.
The edges come out of the same design. LinkedIn is the only platform, the developer plan tops out at 100 connected accounts, and the runtime under the automation is undocumented. The safety claims arrive as a count on one page and a rate on another, so a buyer who wants a single figure to quote has to choose which of the vendor’s pages to quote it from.
The other shape in this category is one channel taken deep across accounts a team owns. That is GTM API, our own product: LinkedIn only, 160+ typed tools across 11 LinkedIn toolsets out of the 18 on the whole server, a preview-then-confirm step in front of the actions an agent takes, and limits enforced server-side before a call goes out. On that stack, gtm-api.com reports 20,000+ accounts at under a 1% ban rate. Email, messengers and calendars are roadmap there and are not shipped, so a product that needs a second channel today needs a multichannel API such as Unipile. Linked API and ConnectSafely.ai sit on the LinkedIn-only side of the line. The dividing question is whether the job is one account’s presence or a fleet’s throughput.
Frequently Asked Questions
What is ConnectSafely.ai?
A LinkedIn engagement platform with a developer surface attached. The vendor describes it as a LinkedIn inbound lead generation platform that works through post boosting, creator targeting and keyword monitoring on a connected account. Behind that front door sit a REST API of 60+ endpoints, a hosted MCP server advertising 60+ tools, and a command-line tool of 86 commands, all on one plan priced per connected LinkedIn account.
How much does ConnectSafely.ai cost?
There is a free plan at $0 that boosts one post a week with no card. API, MCP and CLI access is $10 a month per connected LinkedIn account, or $9 billed yearly, with a 7-day trial and no card, and one plan covers 1 to 100 accounts. The engagement products are priced on their own: AI comments at $29 or $59 a month, post boosting from $29 to $159. Every LinkedIn profile and company page counts as one account.
Does ConnectSafely.ai have an API and an MCP server?
Yes, and a CLI, with all three on the same plan. The REST API publishes 60+ endpoints across posts, messaging, connections, search, groups, profiles, companies and jobs, and Sales Navigator is reachable through the messaging and search routes. The MCP server is hosted and advertises 60+ tools, connected by pasting one personal link into Claude, Cursor, ChatGPT or n8n. The CLI is 86 commands installed with npm, and its command names match the MCP tool names one for one.
What does ConnectSafely.ai publish about account safety?
Two different figures on two of its own pages. The features page prints “0 Account Bans Across 1,000+ users” and answers its own FAQ with “we have a 100% safety record”. The security page prints “99.8% Account safety rate over 12 months” and “Zero Permanent account bans reported”. Both were live on 5 September 2026. Neither page publishes a measurement method or a definition of a ban, and the 99.8% carries no sample beside it. The architecture behind the claims is published: a dedicated residential proxy per account, isolated browser sessions each with its own browser profile, and action caps enforced server-side.
What are the alternatives to ConnectSafely.ai?
It depends which half of the product matters. For engagement and personal branding, content tools such as Taplio cover the same ground. For LinkedIn taken deep on accounts a team owns, the account-based APIs include Linked API and GTM API, our own product, both of which run on LinkedIn accounts the customer connects. For messaging, mail and calendars behind one integration, Unipile has the widest channel coverage in the category. For one-off public data with no account connected, a scraper or dataset route fits the job better than any of these.
Sources & Further Reading
- ConnectSafely.ai, safe automation (“0 Account Bans Across 1,000+ users”, “100% LinkedIn Compliant”, the “100% safety record” FAQ answer and the “Zero risk of bans or account restrictions” bullet) · security (“99.8% Account safety rate over 12 months”, “Zero Permanent account bans reported”, the residential-proxy architecture, per-account isolation and the 50+ proxy locations)
- ConnectSafely.ai, homepage (“No. Zero permanent bans across 1,000+ users”, in the FAQ and its schema, plus the 1,000+ user counter) · pricing (the free plan, the $10 per account developer plan and its yearly rate, the 1 to 100 range, the 7-day trial, the boost and comment ladders, and the structured data that reads differently)
- ConnectSafely.ai, API reference (the base URL, bearer auth, the rate-limit headers and the published per-action caps) · LinkedIn API (60+ endpoints and the per-surface counts) · MCP server (60+ tools, the eight prompt categories and the setup steps) · CLI (86 commands in ten groups, npm install, tool-name parity)
- ConnectSafely.ai docs, sending at a human rhythm (“enforces caps server-side”, the 30 to 90 second write spacing) · rehearsing a write (the dry run and local validation) · MCP integration (the server URL shape, the key-in-URL warning and the Pro and Agency line)
- gtm-api.com, product · pricing (our own numbers)
- Related: Best LinkedIn API · LinkedIn MCP server · Connect LinkedIn to Claude · LinkedIn API pricing · LinkedIn search limits · Safe LinkedIn automation
LinkedIn actions as typed API calls.
Connect an account server-side, send a connection request or a message as one endpoint, and read the remaining budget before the call goes out. On that stack, gtm-api.com reports 20,000+ accounts at under a 1% ban rate. Free plan, then from $10 per connected account at volume.
Last updated: September 2026 · Every ConnectSafely.ai figure, quotation and price on this page was read off the vendor’s own site and developer documentation on 5 September 2026 and is linked in Sources, with gzipped copies under research/snapshots/2026-09-05/. Vendors move pricing and claims without notice, so verify before you buy.