GTM API

Imagine telling your AI assistant to scrape everyone who commented on a competitor’s post, enrich only the founders and C-level marketers, then queue safe connection requests with personalized notes — and watching it happen on your own LinkedIn accounts without constant babysitting. That’s the kind of workflow this platform makes real. Built specifically for agents and developers who need reliable LinkedIn actions, it turns what used to be fragile browser scripts into a clean, typed contract your tools can actually trust.

Introduction

Most LinkedIn automation tools either break after a few days or put your accounts at risk. Official endpoints don’t cover invitations, member messages, or people search, so teams end up with brittle scrapers and high ban rates. This service solves that by letting you connect your own accounts and drive them through a proper MCP server or REST API. Every account runs in its own isolated anti-detect cloud browser with dedicated proxies and smart daily limits. The result is infrastructure that already powers more than 20,000 accounts at under a 1% ban rate — the kind of numbers that let GTM engineers and AI SDR builders sleep at night.

Key Features

User Interface

The dashboard stays out of the way. You connect accounts once, grab an API key, and everything else happens through typed tools or REST calls. For people who prefer a visual layer, there’s a clean control panel for monitoring activity, setting smart limits, and reviewing logs. The MCP integration is especially smooth — drop it into Claude, Cursor, ChatGPT, or n8n and the agent sees clear, well-named actions instead of raw endpoints.

Accuracy & Performance

Actions land reliably because they run through real browser sessions rather than brittle reverse-engineered APIs. Smart limits and warm-up curves keep activity looking human. Enrichment returns full profiles, contact signals, and post history with high consistency. When you ask an agent to process hundreds of engagers or inbox threads, the pacing and success rates stay solid even under volume.

Capabilities

You can search people and posts, send connection requests and messages (including Sales Navigator), scrape engagers and commenters, enrich full profiles and companies, handle inbound invites, and even send voice notes. Everything is available as typed MCP tools or REST endpoints with webhooks. Email, messengers, and calendars are already on the same contract and coming next, so the same agent can eventually work across channels without learning a new schema.

Security & Privacy

Each LinkedIn account lives in its own isolated cloud browser with a dedicated residential proxy. No shared sessions, no local agents that leak credentials. Smart limits and activity monitoring reduce risk before actions ever hit LinkedIn. You keep ownership of the accounts; the platform simply provides the safe execution layer.

Use Cases

GTM engineers wire agents into their existing stack so Claude or Cursor can run prospecting and follow-up without human copy-paste. Agencies onboard client accounts safely and run campaigns from one place. Platform builders add LinkedIn actions to their product on proven infrastructure instead of reinventing anti-detect browsers. AI SDR teams let agents classify replies, route hot leads to HubSpot, and keep outreach paced across multiple accounts. Even simple workflows — “everyone who accepted this week and never replied gets a short voice note” — become one-shot agent tasks.

Pros and Cons

Pros:

• True MCP-first design that agents understand out of the box.
• Very low ban rates backed by real volume (20,000+ accounts).
• Unlimited API calls once an account is connected — no per-action pricing surprises.
• Works with Claude, Cursor, ChatGPT, LangChain, n8n, and more.
• Clear path to email, messengers, and calendars under the same contract.

Cons:

• You still need to supply and warm your own LinkedIn accounts.
• Higher volumes benefit from the optional 5G proxy add-on.
• Some advanced enrichment features sit behind metered usage.

Pricing Plans

There’s a forever-free plan that gives you the full product on one account so you can build and test without a card. Paid plans start around $39 per connected account per month and drop significantly at volume. You get unlimited API calls and actions with no feature gates — only frequency and volume limits on the free tier. Optional 5G proxies and enrichment credits appear on the same invoice. Annual billing saves three months. Cancel anytime.

How to Use This Tool

Sign up and grab an API key. Connect a LinkedIn account through the cloud browser flow (it opens in an isolated session with its own proxy). Add the MCP server to Claude, Cursor, or whatever agent stack you use — most support one-click install. From there you can tell the agent things like “scrape the last 30 days of commenters on this competitor’s posts, enrich them, and keep only ICP-fit founders.” The same actions are available as REST endpoints if you prefer to call them from your backend or n8n. Start small, watch the smart limits, then scale across multiple accounts once the patterns feel solid.

Comparison with Similar Tools

Classic LinkedIn scrapers and browser extensions often die after a few days or get accounts restricted. Official LinkedIn APIs simply don’t expose the endpoints most GTM teams need. This platform sits in a different category: a managed, account-based API with real safety infrastructure and first-class agent support. Where others force you to manage proxies and anti-detect logic yourself, here the hard parts are already handled so you can focus on the outreach logic.

Conclusion

If you’re building AI-driven GTM systems that actually need to act on LinkedIn — not just draft messages for a human to paste — this is the kind of infrastructure that removes the usual friction and risk. One key, typed tools, safe account execution, and a clear roadmap to the rest of the GTM stack. For teams that want agents to run real outreach instead of just research, it feels like the missing piece finally arrived.

Frequently Asked Questions (FAQ)

Do I need my own LinkedIn accounts?

Yes. You connect accounts you own or control; the platform runs them safely on your behalf.

How safe is the automation?

Accounts run in isolated anti-detect browsers with smart limits. The infrastructure supports 20,000+ accounts at under a 1% ban rate.

Is there a free way to try it?

Yes — a forever-free plan with one account and full API/MCP access so you can build before paying.

Which AI tools does it work with?

Claude, Cursor, ChatGPT, VS Code, LangChain, n8n, and any MCP-compatible client.

Are email and other channels available yet?

LinkedIn is live. Email, messengers, and calendars share the same typed contract and are coming next.