linkedin-osint-cli
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@linkedin-osint-clirun the OSINT funnel for fintech companies in the US"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
linkedin-osint-cli
Full LinkedIn platform management from your terminal. 43 platform commands (profiles, posts, messaging, connections, search, feed, engagement) plus an OSINT suite: company discovery, employee scraping, username generation, role classification, org charts, and email deanonymization — powered by cookie session auth.
Works as a CLI and an MCP server (for Claude Code, Cursor, Windsurf, and other AI agents). All 56 tools (43 platform + 13 OSINT) are exposed over MCP automatically, plus an interactive console for humans.
OSINT Suite
The osint command group ports the best of three legacy Python toolkits
(legacy/python/) into the TypeScript engine — API-native, no browser needed:
Command | What it does | Ported from |
| Discover companies by region ( | osint_discover.py |
| Scrape a company's employees (50/page; | linkedin2username |
| Username/email permutations ( | linkedin2username NameMutator |
| Classify titles into 12 hierarchy levels x 20 divisions (rules engine learned from ~30K profiles) | osint_classify_rules.py |
| Groq LLM relevance scoring / batch classification (graceful no-op without | osint_classify_ai.py |
| Build hierarchical org chart JSON (divisions x levels) | osint_build_orgchart.py |
| Standalone HTML matrix org chart (search, expand/collapse, avatars) | osint_generate_html.py |
| Classification health + suggested | osint_stats.py / osint_scan.py |
| One profile's about/experience/education/skills via the profileView endpoint, optional AI deep classification | osint_scrape_profiles.py |
| Email → LinkedIn profile via Outlook/Delve (needs a Microsoft token) | outlook_http_client.py |
| The full pipeline: discover → employees → orgchart → matrix, with resume | osint_funnel.py |
Offline-safe (no cookies needed): classify --title, names --name, matrix, stats, scan.
Everything else uses the same cookie session as the platform commands.
# Discover cybersecurity companies in the USA
linkedin osint discover --geo USA --keyword cybersecurity --limit 10
# Scrape their employees (and generate username lists for a domain)
linkedin osint employees acme-corp --keywords "sales,engineering" --domain acme.com
# Classify one title offline
linkedin osint classify --title "Senior Cyber Security Manager"
# Full funnel: discover -> employees -> org chart -> HTML matrix
linkedin osint funnel --geo USA --keyword fintech --limit 5
# Explore the result interactively
# (open assets/org_chart_viewer.html and load output/org_chart_*.json)The interactive org chart viewer ships at assets/org_chart_viewer.html (tree + matrix modes, demo data in assets/demo_org_chart.json).
Related MCP server: harvestapi-mcp
Install
From source (this repo is not published to npm):
git clone https://github.com/gnmike57/linkedin-osint-cli.git
cd linkedin-osint-cli
npm ci
npm run build
npm link # puts the `linkedin` command on your PATH
linkedin --help@inquirer/prompts is an optional dependency: the interactive console uses
it when present and otherwise falls back to a built-in node:readline
implementation, so a restricted registry or a partial install never blocks you.
Force either path with LINKEDIN_PROMPTS=inquirer (require it, fail loudly) or
LINKEDIN_PROMPTS=fallback (always use the built-in console).
Note: The npm package is
@bcharleson/linkedinclibut the CLI command is just
Local harness only
A live LinkedIn session (cookies, Chrome cookie import, Voyager API calls) must run on a local harness only — your own computer, such as a laptop or Mac mini.
Do not run a live session from Grok Bot, a cloud VM, or any remote runner. Safe use from those environments is limited to:
installing the
linkedinCLI binary, orcalling an MCP server that is already running on the local harness
Cookies and Voyager calls never leave the local machine. Do not put li_at / JSESSIONID in a cloud or Grok Bot environment.
The opt-in --from-chrome and LINKEDIN_HTTP=curl-impersonate paths are local-only: they read a Chrome profile and/or curl_chrome123 on that same machine.
Sessions keep getting killed?
Default Node fetch has a TLS/JA3 fingerprint that is not Chrome. LinkedIn often detects that and invalidates li_at on the first Voyager call (issue #1). Manual li_at + JSESSIONID paste still works for some accounts, but is the fragile path.
Two opt-in, local-only workarounds (default transport remains Node fetch):
LINKEDIN_HTTP=curl-impersonate— on the local harness, shell out tocurl_chrome123so the TLS ClientHello matches Chrome.--from-chrome/LINKEDIN_FROM_CHROME=1— on the local harness, read the fulllinkedin.comcookie jar from a local Chrome profile (not just the two auth tokens).
Use them together on the local machine when possible.
Diagnostics
Set LINKEDIN_DEBUG=1 to trace the HTTP transport on stderr (method, URL, status
and Location for each request, including redirects). It never logs cookies or
request bodies.
LINKEDIN_DEBUG=1 linkedin status --verifyInstall curl-impersonate (local harness)
Install curl_chrome123 on the same local machine that holds the LinkedIn session. The transport looks for it on PATH (override with LINKEDIN_CURL_IMPERSONATE_BIN).
# Nix
nix profile install nixpkgs#curl-impersonate-chrome
# Homebrew
brew install curl-impersonate
# Confirm the binary exists
curl_chrome123 --version
export LINKEDIN_HTTP=curl-impersonateIf the binary is named differently on your platform, point at it:
export LINKEDIN_CURL_IMPERSONATE_BIN=/usr/local/bin/curl_chrome123
export LINKEDIN_HTTP=curl-impersonateQuick Start
Interactive console
Run linkedin with no arguments (or linkedin menu from anywhere) to open the
interactive console: a searchable command palette over every CLI command, a
category browser, guided prompts for each argument/option, and the equivalent
scriptable command line printed before each run so you can graduate to
scripts. Session actions (login, status --verify, logout) are built in.
On a pipe or CI (no TTY), bare linkedin prints plain help instead.
The palette uses @inquirer/prompts when it is installed. That package is an
optional dependency: if your registry blocks it (or the install is broken),
the console silently falls back to a built-in zero-dependency
node:readline implementation with the same behaviour — so the console always
launches. Both paths are exercised by npm run smoke:menu (build first), which
drives a full session through the palette and asserts the selected command
actually runs.
Option A — Read cookies from Chrome (local macOS/Linux only)
If you are already logged into LinkedIn in Chrome on this machine, the CLI can decrypt cookies from the local profile. This sends the full cookie jar (not just li_at + JSESSIONID), which matches a real browser more closely. Local-only — do not point this at a remote Chrome profile or run it from a cloud agent.
# macOS will prompt to unlock Keychain ("Chrome Safe Storage") the first time.
# Requires the `sqlite3` CLI (preinstalled on macOS; `sudo apt install sqlite3` on Linux).
linkedin --from-chrome profile me --pretty
# Or persist the two auth tokens into ~/.linkedin-cli/config.json
linkedin login --from-chrome
# Non-default Chrome profile
linkedin --from-chrome --chrome-profile "Profile 1" status --verifyEnvironment equivalents: LINKEDIN_FROM_CHROME=1, LINKEDIN_CHROME_PROFILE=Default. Optional: LINKEDIN_CHROME_USER_DATA_DIR to point at a custom user-data directory (Chrome/Chromium).
Windows is not supported for --from-chrome (Chrome 127+ App-Bound Encryption).
Cookie values are never printed to stdout/stderr.
Option B — Paste cookies manually
Open LinkedIn in your browser → DevTools (F12) → Application → Cookies → linkedin.com
Copy these two values:
li_at— your session token (long string starting withAQED...)JSESSIONID— your session ID (starts withajax:)
linkedin login
# Paste your li_at and JSESSIONID when promptedOr non-interactively:
linkedin login --li-at "AQEDxxxxxxx" --jsessionid "ajax:1234567890"Manual paste + default Node fetch may still get the session killed. Prefer Option A plus LINKEDIN_HTTP=curl-impersonate on the local harness.
Use it
# View your profile
linkedin profile me --pretty
# Create a post
linkedin posts create --text "Hello LinkedIn! Posted from my terminal."
# Search for people
linkedin search people --keywords "software engineer" --network F --pretty
# Check your messages
linkedin messaging conversations --pretty
# React to a post
linkedin engage react 7123456789 --type LIKEAll Commands
Profile (9 commands)
linkedin profile me # Your own profile
linkedin profile view <public-id> # View any profile
linkedin profile contact-info <public-id> # Email, phone, websites
linkedin profile skills <public-id> # List skills
linkedin profile network <public-id> # Connections, followers, distance
linkedin profile badges <public-id> # Premium, influencer, etc.
linkedin profile privacy <public-id> # Privacy settings
linkedin profile posts <urn-id> # Recent posts by a user
linkedin profile disconnect <public-id> # Remove a connectionPosts (3 commands)
linkedin posts create --text "My post" # Text post
linkedin posts create --text "With image" --image ./pic.jpg # Image post
linkedin posts create --text "Inner circle" --visibility connections
linkedin posts edit <share-urn> --text "Updated text" # Edit a post
linkedin posts delete <share-urn> # Delete a postFeed (3 commands)
linkedin feed view # Your feed (chronological)
linkedin feed view --count 50 # More items
linkedin feed user <profile-id> # Someone's activity
linkedin feed company <company-name> # Company updatesEngagement (5 commands)
linkedin engage react <post-urn> --type LIKE # Like
linkedin engage react <post-urn> --type PRAISE # Celebrate
linkedin engage react <post-urn> --type EMPATHY # Love
linkedin engage react <post-urn> --type INTEREST # Insightful
linkedin engage react <post-urn> --type ENTERTAINMENT # Funny
linkedin engage react <post-urn> --type APPRECIATION # Support
linkedin engage comment <post-urn> --text "Great post!"
linkedin engage comments-list <post-urn>
linkedin engage reactions <post-urn>
linkedin engage share <share-urn> --text "Worth reading"Connections (7 commands)
linkedin connections send <profile-urn> # Send request
linkedin connections send <profile-urn> -m "Let's connect!" # With message
linkedin connections received # Pending received
linkedin connections sent # Pending sent
linkedin connections accept <id> --secret <secret> # Accept
linkedin connections reject <id> --secret <secret> # Reject
linkedin connections withdraw <id> # Withdraw sent
linkedin connections remove <public-id> # UnfriendMessaging (6 commands)
linkedin messaging conversations # All conversations
linkedin messaging conversation-with <profile-urn> # With specific person
linkedin messaging messages <conversation-id> # Read messages
linkedin messaging send <conversation-id> -t "Hello!" # Reply
linkedin messaging send-new -r <urn1>,<urn2> -t "Hi!" # New conversation
linkedin messaging mark-read <conversation-id> # Mark as readSearch (4 commands)
linkedin search people --keywords "CTO" --network F # 1st connections
linkedin search people --keywords "engineer" --company 1035 # At a company
linkedin search people --title "VP Sales" --geo 103644278 # By region
linkedin search companies --keywords "AI startups"
linkedin search jobs --keywords "engineer" --remote --experience 4
# search posts is unavailable (LinkedIn CONTENT SRP). Use profile posts for a known author:
linkedin profile posts ACoAABxxxxxxx --limit 20Companies (3 commands)
linkedin companies view <company-name> # Company info
linkedin companies follow <following-state-urn> # Follow
linkedin companies unfollow <entity-urn> # UnfollowJobs (2 commands)
linkedin jobs view <job-id> # Job details
linkedin jobs skills <job-id> # Skill match insightsAnalytics (1 command)
linkedin analytics profile-views # Who viewed your profileGlobal Options
Every command supports these flags:
Flag | Description |
| Override li_at cookie |
| Override JSESSIONID cookie |
| Read cookies from a Chrome profile on this local machine |
| Chrome profile directory (default: |
| Pretty-printed JSON |
| Shorthand for |
| No output, exit codes only |
| Comma-separated fields to include |
Environment Variables
export LINKEDIN_LI_AT="your_li_at_cookie"
export LINKEDIN_JSESSIONID="your_jsessionid_cookie"
# Opt-in: avoid Node fetch TLS fingerprint (requires curl_chrome123)
export LINKEDIN_HTTP=curl-impersonate
# export LINKEDIN_CURL_IMPERSONATE_BIN=/path/to/curl_chrome123
# Opt-in: read the full LinkedIn cookie jar from Chrome
export LINKEDIN_FROM_CHROME=1
# export LINKEDIN_CHROME_PROFILE="Profile 1"Auth resolution order: --from-chrome / LINKEDIN_FROM_CHROME → --li-at/--jsessionid flags → env vars → ~/.linkedin-cli/config.json
linkedin status --verify now classifies LinkedIn 3xx login/challenge redirects as session_valid: false with an auth message instead of a generic network error.
MCP Server (AI Agents)
All 56 tools (43 platform + 13 OSINT) are available as MCP tools. The MCP process that talks to LinkedIn must run on the local harness. Cloud agents and Grok Bot may install the CLI binary or call this local MCP — they must not hold cookies or originate Voyager calls.
Local Claude Code / Cursor / Windsurf
Add to the MCP config on the local machine:
{
"mcpServers": {
"linkedin": {
"command": "linkedin",
"args": ["mcp"],
"env": {
"LINKEDIN_LI_AT": "your_li_at_cookie",
"LINKEDIN_JSESSIONID": "your_jsessionid_cookie",
"LINKEDIN_HTTP": "curl-impersonate"
}
}
}
}Or point straight at the standalone MCP entry (dist/mcp.js, no CLI wrapper):
{
"mcpServers": {
"linkedin": {
"command": "node",
"args": ["/absolute/path/to/linkedin-osint-cli/dist/mcp.js"]
}
}
}Then a local AI agent can manage LinkedIn through that MCP process. Remote/cloud agents should call this local server rather than starting their own session.
Cookie Expiration
LinkedIn li_at cookies expire periodically (usually every few weeks). They can also be invalidated immediately when the client TLS fingerprint does not look like Chrome. When your session expires:
linkedin status --verify # Check if session is valid
linkedin login --from-chrome
# or: linkedin loginSearch posts limitation
linkedin search posts is not available. LinkedIn's CONTENT resultType on voyagerSearchDashClusters.b0928897b71bd00a5a7291755dcd64f0 still returns HTTP 200 but included[] is only a FeedbackCard (issue #2). People and company search on the same queryId still work. A replacement content-search queryId has not been verified from public/in-repo sources, so this CLI does not invent one.
For posts by a specific member, use profile posts (identity/profileUpdatesV2):
linkedin profile posts <urn-id> --limit 20Development
npm run typecheck # tsc --noEmit
npm test # vitest
npm run build # tsup -> dist/ (index.js + mcp.js)
npm run smoke:menu # end-to-end interactive console (run build first)
npm run smoke:mcp # MCP handshake + tools/list (run build first)The smoke scripts drive the real dist/ artifacts, not mocks: smoke:menu
runs two scripted console sessions (search path and category-browse path) and
asserts the selected command actually executes, that no prompt hangs on piped
input, and that the process exits cleanly; smoke:mcp boots the server,
performs the initialize handshake and verifies every tool is exposed with a
schema. Both force LINKEDIN_PROMPTS=fallback so scripted input behaves the
same on every machine. CI runs typecheck + tests + build + both smoke suites
on Node 18, 20 and 22 (plus Windows on Node 20).
Disclaimer
This tool uses LinkedIn's internal Voyager API via cookie session authentication. It is not affiliated with or endorsed by LinkedIn. Use responsibly and in compliance with LinkedIn's terms of service. The authors are not responsible for any account restrictions that may result from automated usage.
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
- mcpOAuthcom.curviate
LinkedIn actions for AI agents: search, messaging, posts and invites, as hosted MCP tools.
Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own.
Full LinkedIn access for AI agents: leads, messaging, and campaigns with safe limits built in.
Hosted LinkedIn MCP server on your own account: 34 tools for search, profiles, inbox, posts, pages.
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables searching and scraping of LinkedIn profiles, companies, jobs, and posts using natural language through MCP-compatible AI clients.13MIT
- AlicenseAqualityBmaintenanceMCP server providing read-only access to LinkedIn data (profiles, companies, posts, jobs, leads, ads, groups, and account info) via the HarvestAPI, exposing 25 tools over stdio.25MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.29 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to control LinkedIn (profile, network, messaging, publications, jobs) via MCP using a persistent Chrome profile and anti-detection bypass.-