LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Operator, Browser Use, computer-use models and Playwright bots get challenged or banned on LinkedIn: headless fingerprints, datacenter IPs, machine-speed clicks. LinkedIn Toolkit gives any agent a safe, structured API to your own logged-in Chrome session β through the same internal endpoints the LinkedIn page itself calls, at human pace, under hard caps, with a human approval queue. It is also a free replacement for Waalaxy and PhantomBuster if you never touch an agent at all. No headless browser, no proxies, no cloud session, no telemetry, no subscription.

βΆ Try it without installing Β· Install guide Β· Full-quality MP4
Recorded against the toolkit's own demo mode (lit serve --http --fake). Every tool call is real; everyone in it is invented.
One command, then three clicks in Chrome.
That downloads the extension for your version, checks it, unpacks it to
~/.linkedin-toolkit/extension, prints the pairing token, waits for the extension to connect,
and writes the MCP config block into your client's own config file β keeping every other
server in it and backing the file up first. --client takes claude-desktop, claude-code,
cursor, windsurf, vscode, n8n or print; add --dry-run to see what it would do
without touching anything.
Then the three steps Chrome does not let any installer do for you:
chrome://extensions β type it in the address bar; it does not come up in search.Paste the pairing token into the popup β Settings β Local bridge, and check it took:
Download linkedin-toolkit-extension-v*.zip from the
Releases page, unzip it
somewhere permanent (Chrome loads it from that folder on every start), then do the three steps
above. Run npx linkedin-toolkit-mcp for the pairing token, and copy the config block for your
client out of docs/clients.md.
docs/install.md is the same thing with screenshots, written for somebody who has never loaded an unpacked extension.
Mass unfollow β Preview first, then a small number, then the rest β is in docs/install.md. Read the "Connections are followed too" part before you decide the feature is broken: LinkedIn's Following list does not include your connections, who are followed automatically when you connect, so emptying that list to zero leaves a feed still full of posts. Ticking "Also unfollow my connections" scans your followers list instead, which is the only place that state is visible.
Every client's config file, path and shape: docs/clients.md Β· one page per ecosystem.
Not using MCP? lit serve --http gives you POST /actions/{action} and a generated
GET /openapi.json. Examples in seven languages.
[!IMPORTANT] Nothing sends without you. Copilot mode is the default: every write an agent makes queues for your approval in the popup. Hard caps live in the extension β 100 invites, 150 messages, 500 profile visits, 1,000 search results a day β and no agent, CLI flag or config file can raise them. Read the safety page before you turn Autopilot on.
| Extract | Profiles (full page text + photo), search, Sales Navigator, Recruiter, post likers and commenters, group members, event attendees, company employees, your own connections and followers, message threads. CSV, JSON and SQLite out. |
| Lists and CRM | Named lists, tags, dedupe across lists, a "contacted before" flag on every profile, and intent signals: engaged with a post, changed job in the last 90 days, at a target company. |
| Sequences | Visit, follow, connect with a note, message, InMail, like, comment, wait, and branch on accepted / replied / not accepted after N days. Variables with fallbacks, A/B variants per step, replies stop the sequence. 20 templates. |
| Inbox | Unified threads, unread, reply detection, sentiment tagging, saved replies, snooze. |
| Research Pack | A CSV of names or domains in; a dossier, an enriched CSV and a list out. Below. |
| Agent layer | 39 MCP tools, 4 resources, 3 prompts, a /actions HTTP API with OpenAPI 3.1, Node and Python clients, an n8n node, 6 skills. |
| Safety | Jittered human delays, hourly and daily caps, business hours, 14-day warm-up, account presets, approval queue, 429 backoff, 451 challenge auto-pause. |
| Local everything | chrome.storage.local, IndexedDB and a SQLite file on your machine. Read-only SQL over the lot. No server, no account, no telemetry. |
| Ecosystem | How | |
|---|---|---|
| Claude Code, Claude Desktop, Cursor, Windsurf, Zed, Cline, OpenClaw, Codex CLI, Gemini CLI | npx linkedin-toolkit-mcp | MCP over stdio Β· config per client |
| Remote and hosted agents (Claude API MCP connector, ChatGPT connectors, Cloudflare Agents) | lit serve --http | MCP over Streamable HTTP, token auth Β· risks |
| OpenAI Agents SDK, Vercel AI SDK, LangChain.js, Mastra | npm i linkedin-toolkit | Typed client + tool definitions Β· example |
| LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK, Pydantic AI, smolagents | pip install linkedin-toolkit | Python client + @tool wrappers per framework Β· example |
| n8n, Make, Dify, Flowise | n8n-nodes-linkedin-toolkit + MCP client node | Nodes for search, profile, invite, message, inbox, plus a webhook-fed trigger Β· workflow |
| Any HTTP agent | lit serve --http | GET /openapi.json β OpenAPI 3.1 for custom GPTs, Dify and code generators |
| Agent Skills standard | skills/ | Six skills that load unchanged in Claude Code, OpenClaw, and any compliant runtime |
Structured errors carry code, message, retryAfter and howToFix, so an agent recovers or
explains itself instead of retrying into a wall. There is an
llms.txt and an agent quickstart written for an agent to
read and self-install.
| Browser agent | LinkedIn Toolkit | |
|---|---|---|
| Session | Headless or remote-controlled browser, cloud profile | Your own Chrome, your own login |
| Fingerprint | Synthetic β patched, and detectable anyway | Your real browser. Nothing to patch |
| IP | Datacenter, or a residential proxy of dubious provenance | Your own connection |
| Detection | Challenged, degraded, then restricted | No fingerprint or IP delta; volume and rhythm are still visible, which is why the caps exist |
| What the agent sees | Screenshots, vision tokens, brittle selectors | Typed JSON per tool |
| Cost to source 100 profiles | Hundreds of screenshots | 3 tool calls |
| Pace | Machine speed | Jittered human delays, business hours, warm-up |
| Limits | None until LinkedIn imposes them | Hard caps no client can raise |
| On a challenge | Retries, and makes it worse | Stops everything, tells the human |
| Human oversight | Whatever you remember to build | Approval queue, on by default |
The long version, with the actual detection mechanisms: Why browser agents fail on LinkedIn.
LinkedIn's web client now serves nearly all of its data through
GET /voyager/api/graphql?queryId=<name>.<32-hex hash>&variables=(...), and those hashes change
with each web client release (current: 1.13.46474). The old REST Voyager paths that a generation of
2024β2025 extensions hard-coded return 400, 410 or 500 today. That is the mechanism β not a ban
wave. This extension calls the same GraphQL queries the page calls, from inside your own tab, and
keeps every query ID in one refreshable table with its capture date and client version:
docs/voyager-endpoints.md. lit endpoints check reports which are ok,
failed or unverified, and lit endpoints doctor names the query id whose hash went stale and the
key in the table that holds it, so drift is a maintenance task rather than an architecture change.
Honestly: those IDs will drift, and re-capturing them is the contribution this project most
needs. It is a table edit, not a rewrite β open DevTools on LinkedIn, filter the Network tab for
voyager/api, and copy the queryId from a request the page makes; the same hashes are also
literal strings inside LinkedIn's JS bundles if you would rather grep for them.
No reviews yet β be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/linkedin-toolkit)<a href="https://allmcps.com/mcp/linkedin-toolkit"><img src="https://allmcps.com/api/badge/linkedin-toolkit?style=directory" alt="LinkedIn Toolkit on AllMCPs" /></a>