linkedin-mcp
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-mcp Post this image to LinkedIn with caption 'Happy Monday!'"
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-mcp
A local MCP (Model Context Protocol) server that lets Claude log in to LinkedIn and publish image posts to your personal profile feed, backed by LinkedIn's REST Images API and Posts API.
Scope: two tools, linkedin_login and create_image_post. No org/company
page posting, no scheduling, no carousels.
1. Create a LinkedIn Developer App
Go to https://www.linkedin.com/developers/apps and click Create app. LinkedIn requires every app to be linked to a LinkedIn Page, even for personal-profile posting -- create a minimal Page first if you don't have one.
Fill in the app name, select the Page, upload a logo (required), accept the agreement, and click Create app.
In the Products tab, add:
Sign In with LinkedIn using OpenID Connect (grants
openid,profile,email) -- self-serve, instant.Share on LinkedIn (grants
w_member_social) -- self-serve, instant.
In the Auth tab, under OAuth 2.0 settings, add an Authorized redirect URL that exactly matches
LINKEDIN_REDIRECT_URIbelow (defaulthttp://localhost:3000/callback, including the path -- must match byte-for-byte).Copy the Client ID and Client Secret from the Auth tab.
Known risk to watch for: the Microsoft Learn docs for /rest/images and
/rest/posts live under "Community Management API," which normally needs a
separate LinkedIn approval. Posting to your own profile with w_member_social
OpenID scopes has historically worked without that approval, but if your first
create_image_postcall comes back with a 403, that's the signal your app needs the Community Management API product added in the developer portal (approval-gated, outside this code's control).
Related MCP server: linkedin-mcp
2. Install and build
npm install
npm run build3. Configure your MCP client
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"linkedin": {
"command": "node",
"args": ["/absolute/path/to/linkedin-mcp/dist/index.js"],
"env": {
"LINKEDIN_CLIENT_ID": "xxxx",
"LINKEDIN_CLIENT_SECRET": "xxxx",
"LINKEDIN_REDIRECT_URI": "http://localhost:3000/callback"
}
}
}
}Claude Code
Add the same shape to your project or user .mcp.json, or run:
claude mcp add linkedin node /absolute/path/to/linkedin-mcp/dist/index.js \
--env LINKEDIN_CLIENT_ID=xxxx \
--env LINKEDIN_CLIENT_SECRET=xxxx \
--env LINKEDIN_REDIRECT_URI=http://localhost:3000/callbackRestart the client after editing config. You should see the server connected
with two tools: linkedin_login and create_image_post.
4. Environment variables
See .env.example for the full list. Only LINKEDIN_CLIENT_ID
and LINKEDIN_CLIENT_SECRET are required; everything else has a sane default.
Tokens are persisted to ~/.linkedin-mcp/tokens.json (mode 600) so you only
need to log in once per ~60-day LinkedIn access token lifetime.
5. Usage
In a Claude conversation:
"Log in to LinkedIn" -> calls
linkedin_login, opens your browser, and completes the OAuth flow. Calling it again when already logged in is a no-op unless you passforce: true."Post this image to LinkedIn with caption ..." -> calls
create_image_postwithimagePathorimageUrl,text, and optionallyaltText/visibility.
Development
npm run dev # run directly via tsx, without buildingAll logging goes to stderr (console.error) -- stdout is reserved for the
MCP JSON-RPC protocol stream over stdio.
Available Tools
2 toolscreate_image_postCreate a LinkedIn image postA
Publish an image with text to the logged-in user's personal LinkedIn feed. Requires linkedin_login to have been run first. Provide exactly one of imagePath or imageUrl.
Inputs: text (required), altText, imageUrl, imagePath, +1 more.
linkedin_loginLog in with LinkedInA
Authenticate with LinkedIn via OAuth. Opens a browser for the user to log in and grant permissions. Only needed once -- tokens persist across sessions -- unless the token has expired or force is set.
Inputs: force.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one handles authentication, the other handles posting. There is no overlap or ambiguity between them.
Naming conventions are inconsistent: 'create_image_post' follows a verb_noun pattern while 'linkedin_login' follows a noun_noun pattern. However, both names are clear and understandable.
With only 2 tools, the server feels thin for a social media platform, but it may be intentionally scoped to image posting only. The count is borderline acceptable.
The server covers the basic workflow of authentication and posting an image, but lacks operations like updating, deleting, or retrieving posts. Notable gaps exist for a complete CRUD surface.
Related MCP Connectors
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Hosted MCP server for AI agents to post to LinkedIn profiles and X and upload to YouTube.
Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own.
MCP server for QPost — lets AI agents publish video and image posts to YouTube, TikTok, Instagram.
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