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  3. LinkedIn Toolkit
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LinkedIn Toolkit

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.

Quick Install

Automated & IDE Setup

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 isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for LinkedIn Toolkit, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🌐 More in Social Media

Documentation Overview

LinkedIn Toolkit

License: MIT MCP No headless browser Runs locally CI

LinkedIn blocks AI browser agents. This is how agents get in.

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.

An agent searches LinkedIn from your own browser session, drafts five connection notes, and parks every one of them in an approval queue

β–Ά 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.

Quick start

One command, then three clicks in Chrome.

Terminal
npx linkedin-toolkit-mcp setup --client claude-code

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:

  1. Open chrome://extensions β€” type it in the address bar; it does not come up in search.
  2. Turn on Developer mode, top right.
  3. Click Load unpacked and choose the folder setup printed.

Paste the pairing token into the popup β†’ Settings β†’ Local bridge, and check it took:

bash
lit status
Rather do it by hand, or only want the extension and no agent?

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.

What it does

ExtractProfiles (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 CRMNamed 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.
SequencesVisit, 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.
InboxUnified threads, unread, reply detection, sentiment tagging, saved replies, snooze.
Research PackA CSV of names or domains in; a dossier, an enriched CSV and a list out. Below.
Agent layer39 MCP tools, 4 resources, 3 prompts, a /actions HTTP API with OpenAPI 3.1, Node and Python clients, an n8n node, 6 skills.
SafetyJittered human delays, hourly and daily caps, business hours, 14-day warm-up, account presets, approval queue, 429 backoff, 451 challenge auto-pause.
Local everythingchrome.storage.local, IndexedDB and a SQLite file on your machine. Read-only SQL over the lot. No server, no account, no telemetry.

Works with your agent

EcosystemHow
Claude Code, Claude Desktop, Cursor, Windsurf, Zed, Cline, OpenClaw, Codex CLI, Gemini CLInpx linkedin-toolkit-mcpMCP over stdio Β· config per client
Remote and hosted agents (Claude API MCP connector, ChatGPT connectors, Cloudflare Agents)lit serve --httpMCP over Streamable HTTP, token auth Β· risks
OpenAI Agents SDK, Vercel AI SDK, LangChain.js, Mastranpm i linkedin-toolkitTyped client + tool definitions Β· example
LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK, Pydantic AI, smolagentspip install linkedin-toolkitPython client + @tool wrappers per framework Β· example
n8n, Make, Dify, Flowisen8n-nodes-linkedin-toolkit + MCP client nodeNodes for search, profile, invite, message, inbox, plus a webhook-fed trigger Β· workflow
Any HTTP agentlit serve --httpGET /openapi.json β€” OpenAPI 3.1 for custom GPTs, Dify and code generators
Agent Skills standardskills/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 agents vs LinkedIn Toolkit

Browser agentLinkedIn Toolkit
SessionHeadless or remote-controlled browser, cloud profileYour own Chrome, your own login
FingerprintSynthetic β€” patched, and detectable anywayYour real browser. Nothing to patch
IPDatacenter, or a residential proxy of dubious provenanceYour own connection
DetectionChallenged, degraded, then restrictedNo fingerprint or IP delta; volume and rhythm are still visible, which is why the caps exist
What the agent seesScreenshots, vision tokens, brittle selectorsTyped JSON per tool
Cost to source 100 profilesHundreds of screenshots3 tool calls
PaceMachine speedJittered human delays, business hours, warm-up
LimitsNone until LinkedIn imposes themHard caps no client can raise
On a challengeRetries, and makes it worseStops everything, tells the human
Human oversightWhatever you remember to buildApproval queue, on by default

The long version, with the actual detection mechanisms: Why browser agents fail on LinkedIn.

Why extensions broke, and why this one is built to be repaired

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 2024–2025 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.

Versus the paid tools

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about LinkedIn Toolkit

We don't have a confirmed install command for LinkedIn Toolkit yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/OpenRecruiterTools/linkedin-toolkit) for the current steps.

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Technical Specs & Signals

Category🌐Social Media
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Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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