LinkedIn MCP Server

io.github.prakharagarwal-devPublished by GitHub account prakharagarwal-devv0.16.0Updated Oct 24, 2026

Find LinkedIn jobs and people, research companies, manage network, posts, and messages with MCP.

VerifiedSTDIODesktop onlyProductivity & WorkflowWeb Search & ScrapingCommunication & Collaboration

Overview

AI-generated overview

An unofficial local MCP server that drives LinkedIn's web UI through a signed-in browser, letting an assistant search jobs, people, companies and posts, and act

What you can do
Search and read jobs, including filters, full descriptions and hiring teams. Search people and companies and read profiles, experience, education and company details. Search posts and read content, comments and reactions. Publish posts, comment and react. List and search connections, and list, send, accept or ignore invitations. Search and read conversations, and send or reply to messages.
When to use it
Useful when you want an assistant to research LinkedIn jobs, candidates, companies or discussions, or to handle routine network and messaging tasks through your own signed-in account instead of manual browsing.
Requirements
Runs locally as a stdio process, launched with uvx from the linkedin-mcp-local package (Python, with Playwright browser requirements). A dedicated browser window opens for you to sign in to LinkedIn and complete any verification; the session is saved in a local browser profile.
Before you install
It automates your real LinkedIn account, and LinkedIn may limit or restrict accounts that use prohibited automation. It can send connection requests, accept or ignore invitations, publish posts, comment, react and send messages on your behalf. The saved browser profile holds your session cookies and should never be shared or committed. Use only accounts and activity you are authorized to operate.

Installation

In SourceWeft

  1. Open LinkedIn MCP Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

LinkedIn MCP Server

[CI] [CodeQL] [PyPI] [Python 3.12–3.14] [License: Apache-2.0] [MCP Registry] [Glama] [OpenSSF Scorecard] [PyPI provenance] [Container provenance and SBOM]

Disclaimer: LinkedIn is a registered trademark of LinkedIn Corporation and its affiliates. LinkedIn MCP Server is an independent, unofficial project and is not affiliated with, endorsed by, sponsored by, or associated with LinkedIn Corporation or its affiliates.

A LinkedIn MCP server to find jobs, search people, research companies, manage your network, publish and engage with posts, and read or send messages.

⚡ Quickstart

1. Connect Claude Code

bash
claude mcp add --scope user --transport stdio linkedin-mcp -- \  uvx --from linkedin-mcp-local linkedin-mcp serve --transport stdio

2. Sign in to LinkedIn

Restart Claude Code. A dedicated browser window opens automatically—sign in to LinkedIn and complete any required verification.

[!NOTE] Your session is saved locally and reused automatically.

Supported platforms

The server runs natively on Windows, macOS, and Linux. CI executes the complete offline suite on Windows, macOS, Linux x86-64, and Linux ARM64. Browser and OS version requirements follow the official Playwright Python system requirements.

3. Try your first request

text
Find remote software engineering jobs in India posted on LinkedIn this week.

🛠️ Tools

[!TIP] Verified means the tool passed an end-to-end live compatibility test against LinkedIn's visible web UI on the date shown.

AreaFunctionMCP toolLinkedIn UI compatibilityWhat it does
JobsSearch jobslinkedin.jobs.search[LinkedIn UI compatibility]
[Compatibility check date]		Search by keywords, location, distance, date, workplace, experience, employment type, company, industry, function, title, benefits, Easy Apply, verification, applicant count, network, and other visible filters.
Read job detailslinkedin.jobs.get[LinkedIn UI compatibility]
[Compatibility check date]		Read the complete job description, company, application method, and visible hiring team.
PeopleSearch peoplelinkedin.people.search[LinkedIn UI compatibility]
[Compatibility check date]		Search by keywords, connection degree, hiring status, location, current or past company, title, school, industry, services, language, connections, and followers.
Read profileslinkedin.people.get[LinkedIn UI compatibility]
[Compatibility check date]		Read the complete visible profile or request selected sections such as About, experience, education, skills, projects, certifications, and recommendations.
CompaniesSearch companieslinkedin.companies.search[LinkedIn UI compatibility]
[Compatibility check date]		Search by keywords, headquarters, industry, size, available jobs, and first-degree connections.
Read company detailslinkedin.companies.get[LinkedIn UI compatibility]
[Compatibility check date]		Read Overview and About information, including website, headquarters, size, type, founding year, and specialties.
PostsSearch postslinkedin.posts.search[LinkedIn UI compatibility]
[Compatibility check date]		Search by keywords, date, content type, author, company, relationship, mentions, author industry, and other visible filters.
Read postslinkedin.posts.get[LinkedIn UI compatibility]
[Compatibility check date]		Read complete content, media, links, mentions, hashtags, reactions, and engagement.
Read discussionslinkedin.posts.comments.list[LinkedIn UI compatibility]
[Compatibility check date]		Read paginated comments, replies, attachments, and reactions.
Publish postslinkedin.posts.create[LinkedIn UI compatibility]
[Compatibility check date]		Publish supported personal text, link, image, video, document, poll, celebration, event, hiring, and expert-request posts.
Commentlinkedin.posts.comment[LinkedIn UI compatibility]
[Compatibility check date]		Add text, links, emoji, mentions, photos, or GIFs to posts.
Reactlinkedin.posts.react[LinkedIn UI compatibility]
[Compatibility check date]		Add, change, or remove reactions on posts.
NetworkList connectionslinkedin.connections.list[LinkedIn UI compatibility]
[Compatibility check date]		Browse established first-degree connections with sorting and pagination.
Search connectionslinkedin.connections.search[LinkedIn UI compatibility]
[Compatibility check date]		Search existing connections using applicable People filters.
List invitationslinkedin.invitations.list[LinkedIn UI compatibility]
[Compatibility check date]		Browse received and sent invitations using LinkedIn's visible filters.
Send invitationslinkedin.invitations.send[Not checked]Send connection requests with optional notes.
Accept invitationslinkedin.invitations.accept[Not checked]Accept incoming connection requests.
Ignore invitationslinkedin.invitations.ignore[Not checked]Ignore incoming connection requests.
MessagingSearch messageslinkedin.messaging.search[LinkedIn UI compatibility]
[Compatibility check date]		Search by recipient or message text using inbox categories and filters.
Read conversationslinkedin.messaging.conversation.get[LinkedIn UI compatibility]
[Compatibility check date]		Read message history, replies, edits, reactions, and attachments.
Send messageslinkedin.messaging.send[LinkedIn UI compatibility]
[Compatibility check date]		Send or reply in one-to-one conversations with text, links, emoji, files, images, and GIFs.
ServerCheck runtimelinkedin.server.status[LinkedIn UI compatibility]
[Compatibility check date]		Inspect the shared runtime, queue, and active browser operation.
Check LinkedIn sessionlinkedin.session.status[LinkedIn UI compatibility]
[Compatibility check date]		Inspect browser-profile, authentication, login, and pause state.
List capabilitieslinkedin.capabilities.list[LinkedIn UI compatibility]
[Compatibility check date]		Inspect available capabilities, versions, read/write effects, and required LinkedIn surfaces.

NOT CHECKED tools remain covered by the offline simulator on every pull request.

See the capability matrix for exact filters, supported formats, inputs, outputs, limits, and unsupported features.

📦 Installation

Claude Code
bash
claude mcp add --scope user --transport stdio linkedin-mcp -- \  uvx --from linkedin-mcp-local linkedin-mcp serve --transport stdio

Check it with claude mcp list. See the Claude Code MCP documentation.

Claude Desktop

[Download for Claude Desktop]

Download the .mcpb file, then open Settings → Extensions → Advanced settings → Install Extension. See Claude Desktop's extension documentation.

Codex and ChatGPT Desktop
bash
codex mcp add linkedin-mcp -- \  uvx --from linkedin-mcp-local linkedin-mcp serve --transport stdio

Check it with codex mcp list. Codex CLI, the Codex IDE extension, and ChatGPT Desktop share this local configuration. Restart the client after adding it. See the Codex MCP documentation.

VS Code and GitHub Copilot

[Install in VS Code] [Install in VS Code Insiders]

Or add this to .vscode/mcp.json:

json
{  "servers": {    "linkedin-mcp": {      "command": "uvx",      "args": ["--from", "linkedin-mcp-local", "linkedin-mcp", "serve", "--transport", "stdio"]    }  }}

See the VS Code MCP documentation.

Cursor

[Install in Cursor]

For manual setup, open Cursor Settings → MCP → Add new MCP server, set the command to uvx, and set the arguments to --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Cursor MCP documentation.

Gemini CLI

In ~/.gemini/settings.json, add a local server named linkedin-mcp under mcpServers with command uvx and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio, then run gemini mcp list. See the Gemini CLI MCP documentation.

Windsurf

Open Settings → AI → Manage MCP Servers, or add a local server named linkedin-mcp to ~/.codeium/windsurf/mcp_config.json with command uvx and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Windsurf MCP documentation.

Cline

Open MCP Servers → Configure, then add a local server named linkedin-mcp with command uvx and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Cline MCP documentation.

Roo Code

Open Roo Code's MCP settings and add a local server named linkedin-mcp to the global file or .roo/mcp.json, using command uvx and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Roo Code MCP documentation.

Zed

Add this to Zed settings:

json
{  "context_servers": {    "linkedin-mcp": {      "command": "uvx",      "args": ["--from", "linkedin-mcp-local", "linkedin-mcp", "serve", "--transport", "stdio"]    }  }}

See the Zed MCP documentation.

Goose

[Install in Goose]

Or add a custom stdio extension with command uvx and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio, or start one CLI session with:

bash
goose session --with-extension \  "uvx --from linkedin-mcp-local linkedin-mcp serve --transport stdio"

See the Goose documentation.

OpenCode

For OpenCode v2, add this to opencode.json:

json
{  "$schema": "https://opencode.ai/config.json",  "mcp": {    "servers": {      "linkedin-mcp": {        "type": "local",        "command": ["uvx", "--from", "linkedin-mcp-local", "linkedin-mcp", "serve", "--transport", "stdio"]      }    }  }}

See the OpenCode MCP documentation.

JetBrains AI Assistant

Open Settings → Tools → AI Assistant → Model Context Protocol (MCP), click Add, set the command to uvx, and set the arguments to --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the JetBrains MCP documentation.

Continue

Create .continue/mcpServers/linkedin-mcp.json with a local server named linkedin-mcp, command uvx, and arguments --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Continue MCP documentation.

Warp

Open Settings → AI → Manage MCP Servers → Add, name the server linkedin-mcp, set the command to uvx, and set the arguments to --from linkedin-mcp-local linkedin-mcp serve --transport stdio. See the Warp MCP documentation.

💡 Examples

Find jobs

text
Find remote software engineering jobs in India posted on LinkedIn this week with Easy Apply.

Research people

text
Find LinkedIn profiles for engineering managers at Stripe in India and show me their relevant experience.

Research companies

text
Find fintech companies in Bengaluru on LinkedIn with 51–200 employees and summarize each company.

Explore posts

text
Find recent LinkedIn posts about AI agents and summarize the most useful discussions.

Manage your network

text
Show my latest received connection requests on LinkedIn.
text
Send a LinkedIn connection request to <profile URL> with the note <note>.

Send messages

text
Send <message> on LinkedIn to <profile URL>.

🏗️ Architecture

text
[Claude | Codex | Cursor | ...]               |       stdio / loopback HTTP               v      [Typed MCP boundary]               |               v       [Fair queue + pacing]               |      one operation at a time               v[Capability executor] ---> [Process-local calls, cursors, evidence]               |               v      [Capability page objects]               |               v[Browser manager: fresh page per call] <--> [Persistent auth profile]               |        visible web UI only               v           [LinkedIn]

Everything runs locally. There is no hosted backend, telemetry, database, external queue, LangGraph runtime, or credential service. Browser cookies live only in the local Playwright profile. The first client starts one shared local runtime; later clients attach to it, and fair scheduling gives each client a turn between complete tool calls. Operation state lasts only for that runtime. Read the full architecture and privacy policy.

🔒 Privacy Policy

The server has no maintainer-operated backend, analytics, advertising, or telemetry. LinkedIn receives normal visible-UI requests, and the invoking MCP client receives tool results under its own data policy; the project sends nothing to the maintainer. Read the complete privacy policy for processing, storage, sharing, retention, and deletion details.

🛡️ Safety

Use of this software is at your own risk. You are solely responsible for complying with LinkedIn's User Agreement, applicable laws, and third-party rights. LinkedIn may limit or restrict accounts that use prohibited automation. The maintainers do not authorize spam, unauthorized data collection, privacy violations, or circumvention of access controls.

  • Use only accounts and activity you are authorized to operate.
  • The server pauses on authentication expiry, checkpoints, restriction pages, permission failures, and configuration errors.
  • It does not implement CAPTCHA bypass, proxy rotation, fingerprint spoofing, credential harvesting, stealth plugins, or private LinkedIn endpoints.
  • Never commit or share the persistent browser profile or local assets.

See SECURITY.md and the security design.

📚 More documentation

❤️ Support the project

If LinkedIn MCP Server is useful to you:

🌐 Let's connect

Have feedback or an idea for LinkedIn MCP Server?

⚖️ License

Licensed under the Apache License 2.0.

Source: README.md at commit 0027edc

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.16.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts