LinkedIn MCP server for Claude and ChatGPT

There's no official LinkedIn MCP, so EmbedSocial runs a hosted LinkedIn MCP server for company pages: connect your page's posts and the posts that mention it once, paste one URL into Claude, ChatGPT or Claude Code, and query them from a prompt. No code, nothing to host, no scraping.

Your company page's posts and every post that tags your page
Works as a LinkedIn MCP in Claude, ChatGPT, Claude Code and Cursor
Page-admin sign-in through LinkedIn's official API

MCP server URL

https://embedsocial.com/admin/mcp

Start free trial Setup docs

Claude with the EmbedSocial MCP connected, reading posts that mention your LinkedIn company page. Illustrative example.

Is there an official LinkedIn MCP server?

No. LinkedIn has not published an MCP server for company page content. The LinkedIn MCP servers you find on GitHub and in MCP directories fall into two groups: ones built on LinkedIn's API, which need your own developer app and LinkedIn's approval, and ones that scrape LinkedIn with your login cookies or a headless browser. LinkedIn's User Agreement prohibits scraping and automated access, so the second group can get your account restricted.

EmbedSocial uses the official API. A page admin signs in with LinkedIn, EmbedSocial collects the company page's posts and mentions through the official API, then exposes them to Claude, ChatGPT or any MCP-compatible tool as four tools at one URL. You connect the page, paste the URL, sign in, and prompt.

Every LinkedIn MCP automation

Every LinkedIn prompt in the automation library. Copy one into your AI tool, open it in Claude or ChatGPT with the connector attached, or filter by use case and tool.

Analytics

Send LinkedIn Mentions to Slack

Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] posted in the last 24 hours. For each mention, write a one-line summary and include the author, sentiment, and post link. Flag any negative mentions or questions that need a reply. Post the results to the #[channel] Slack channel.

Open in

Analytics

Track LinkedIn Mentions in Google Sheets

Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] for the last [30] days. For each mention, log the author, date, post text, link, sentiment, and main theme. Export the results into Google Sheets with a mentions log tab and a summary tab showing weekly mention volume, sentiment breakdown, and top themes.

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Analytics

Analyze LinkedIn Post Performance in Google Sheets

Using the EmbedSocial MCP, pull posts from our LinkedIn company page in [widget] for the last [90] days. Pull available website widget post clicks, icon clicks, lightbox opens, and CTA clicks for the same period, with one row per day. Keep the company post inventory separate from widget-level metrics. Do not infer per-post LinkedIn performance or posting-time recommendations from widget totals. Export the results into Google Sheets with a raw data tab, a widget metrics tab, and a summary with three recommendations.

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Analytics

Build a Monthly LinkedIn Analytics Report in Gamma

Using the EmbedSocial MCP, pull our LinkedIn company page posts and LinkedIn mentions from [widget] for [last month] and [the month before]. Calculate total collected posts and mentions, and month-over-month change. Pull available website widget post clicks, icon clicks, lightbox opens, and CTA clicks separately. These measure website widget activity, not LinkedIn platform performance. Include 5 example posts, the top 5 authors by mention frequency, the sentiment breakdown of mentions, and the main themes. Report missing metrics as unavailable rather than estimating them. Then use Gamma to create a 10-slide report with an executive summary, key metrics, example posts, mentions, themes, and three recommendations for next month.

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Lead generation

Turn LinkedIn Mentions into HubSpot Leads

Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] for the last [7] days. Score each mention for buying intent (high, medium, low) based on questions, recommendation requests, pricing interest, or product praise. For every high and medium intent mention, create or update a HubSpot contact with the author’s name, LinkedIn profile URL, company if available, the post link, and a note summarizing the mention and intent score. Skip contacts that already exist and add a note to them instead.

Open in

Analytics

Rank LinkedIn Brand Advocates in Google Sheets

Using the EmbedSocial MCP, pull LinkedIn mentions of our company page from [widget] for the last [90] days. Group the posts by author and rank each author by number of mentions, number of active weeks, and average sentiment. Sort them into three tiers: top advocates, rising advocates, and one-time mentioners. Export the results into Google Sheets with a ranked advocates tab, a top posts tab with links, and a raw data tab.

Open in

LinkedIn tools your agent can call

Four tools, listed by your AI client the moment you connect. Each one reads the LinkedIn sources you connected in EmbedSocial, nothing else.

Company page posts and mentions
Posts your company page published and posts that tag your page, filtered by date range or keyword, with text, media, author and date.
- socialfeed_items_query_api
Single posts
One LinkedIn post by its ID: text, media and engagement details.
- social_feed_get_single_media
Widgets and their analytics
Every widget built from your LinkedIn sources, and its post, icon, lightbox and CTA clicks over a period.
- socialfeed_widgets_list
- widget_analytics_get_metrics

Company pages only. You need admin access to the page, and each connected page counts as one source. Personal profiles and hashtags aren't supported. Company page posts require Pro or higher. LinkedIn Mentions require Pro Plus or higher. MCP access requires Premium.

One URL in your client

Connect your company page in EmbedSocial, add the server URL to your AI tool, sign in. Setting up the LinkedIn MCP in Claude takes about two minutes. Pick your tool for the exact steps.

Open the Add custom connector page in Claude
This opens the "Add custom connector" dialog in Claude.
Open in Claude
2
Add the EmbedSocial MCP URL
Name it EmbedSocial, paste the URL, and click Add.
URL
```
https://embedsocial.com/admin/mcp
```
Connect and authorize
Sign in with your EmbedSocial account to authorize access.
Start prompting
List the LinkedIn posts that mentioned our company page in the last 30 days and summarize what each one says about us.

Turn on Developer mode in ChatGPT
Open Settings, go to Security (under Security and login), and enable Developer mode. Custom connectors need this, and you only do it once.
Open in ChatGPT
Add a custom plugin
Go to the Plugins section and click the plus (+) button.
3
Add the EmbedSocial MCP URL
Name it EmbedSocial, paste the URL, and click Create.
URL
```
https://embedsocial.com/admin/mcp
```
Connect and authorize
Sign in with your EmbedSocial account to authorize access.
Start prompting
List the LinkedIn posts that mentioned our company page in the last 30 days and summarize what each one says about us.

Open MCP settings
In Cursor, go to Settings > Tools & MCPs and click New MCP server to open mcp.json.

Add the EmbedSocial config

Paste this into mcp.json.

mcp.json

{
  "mcpServers": {
    "embedsocial": {
      "command": "npx",
      "args": ["mcp-remote", "https://embedsocial.com/admin/mcp"]
    }
  }
}

Connect and authorize
Sign in with your EmbedSocial account to authorize access.
Start prompting
List the LinkedIn posts that mentioned our company page in the last 30 days and summarize what each one says about us.

Register the EmbedSocial MCP server

Run this in your terminal.

Terminal

claude mcp add embedsocial --scope user -- npx mcp-remote https://embedsocial.com/admin/mcp

2
Open the MCP menu
Start a new Claude Code session, then run the following.
Terminal
```
claude /mcp
```
Enable EmbedSocial
Select embedsocial, then Enable. A browser window opens. Sign in with your EmbedSocial account to authorize access.
Start prompting
List the LinkedIn posts that mentioned our company page in the last 30 days and summarize what each one says about us.

1
Use the EmbedSocial MCP URL
Add this URL as a custom MCP server in any tool that supports MCP.
URL
```
https://embedsocial.com/admin/mcp
```
Connect and authorize
Sign in with your EmbedSocial account to authorize access.
Start prompting
List the LinkedIn posts that mentioned our company page in the last 30 days and summarize what each one says about us.

Run LinkedIn for clients from Claude or ChatGPT

LinkedIn is where B2B brands and the agencies behind them do their real work, and most of it is still manual: checking who tagged the page, screenshotting posts for the monthly report, copying wins into the CRM. With the EmbedSocial MCP connected, Claude or ChatGPT can read every client's company page and mentions, flag the posts that need a reply or a thank-you, and turn a month of activity into a report, all from one chat.

LinkedIn API, third-party MCPs, or EmbedSocial

The three ways to get LinkedIn data into an AI agent today, side by side.

	LinkedIn API	Open-source and scraper MCPs	EmbedSocial LinkedIn MCP
Official MCP from LinkedIn	Not available	Community-built	Hosted by EmbedSocial, connects in minutes
Setup time	Weeks (developer app, API access approval)	Hours (clone repo, configure auth or cookies, host it)	Minutes (paste one MCP URL)
Coding required	Yes	Yes	No
Hosting and maintenance	You manage the app	You host and maintain the server	Fully hosted by EmbedSocial
Terms-of-service risk	Official API, subject to LinkedIn terms	High for scrapers: LinkedIn prohibits automated access	Official API, page-admin sign-in, subject to LinkedIn terms
Data included	Raw API endpoints, approval-gated	Whatever the maintainer built	Company page posts, mentions, widget analytics
Reporting and widgets	None	None	Built in (Google Sheets, Slack, HubSpot and more via automations)
Support	LinkedIn developer docs only	Community, or none	EmbedSocial support

Valid as of October 2026. Check official updates for any changes.

Would rather build it into your own product?

The same company page posts, mentions and widget analytics are available as a REST API, for your own app instead of a prompt.

Social media API

LinkedIn MCP FAQ

Is there an official LinkedIn MCP server?

No. LinkedIn has not published an MCP server for company page content. The servers on GitHub and in MCP directories are community-built: some use LinkedIn's API and need your own approved developer app, others scrape LinkedIn and risk breaking its terms. EmbedSocial is a hosted, no-code LinkedIn MCP that connects your company page through the official API to any MCP-compatible AI tool.

What is the LinkedIn MCP server URL?

https://embedsocial.com/admin/mcp. Paste it into Claude as a custom connector, into ChatGPT under Connectors, or into Cursor and any other tool that supports remote MCP servers, then sign in with your EmbedSocial account.

How do I use the LinkedIn MCP with Claude?

Add https://embedsocial.com/admin/mcp as a custom connector in Claude and sign in with your EmbedSocial account. In Claude Code, run claude mcp add embedsocial --scope user -- npx mcp-remote https://embedsocial.com/admin/mcp. Then ask Claude for your company page posts or mentions in plain language.

Does it work with personal LinkedIn profiles?

No. The EmbedSocial LinkedIn MCP works with company pages only. You connect a page you administer, and the MCP reads the posts that page publishes and the posts that tag it.

Can a LinkedIn MCP get my account banned?

A scraper-based one can. LinkedIn's User Agreement prohibits scraping and automated access, and MCPs that log in with your cookies or a headless browser break that rule. EmbedSocial uses LinkedIn's official API with page-admin sign-in, rather than scraping with your login cookies. This does not guarantee protection from account restrictions.

Do I need to code anything?

No. You connect your company page in EmbedSocial, paste one URL into your AI tool and sign in. EmbedSocial hosts and maintains the server.

Is my LinkedIn data secure when connected via MCP?

Yes. Access is authorized through your EmbedSocial login, and your AI tool only sees the LinkedIn sources you connected. It can't read your messages, connections or personal profile.

Give your agent your LinkedIn

Connect your company page and its mentions, add one URL to Claude or ChatGPT, and ask for the posts, the people or the numbers. The same connection runs every automation above.

MCP server URL

https://embedsocial.com/admin/mcp

Start free trial Setup docs

LinkedIn MCP server for Claude and ChatGPT

Is there an official LinkedIn MCP server?

Every LinkedIn MCP automation

Send LinkedIn Mentions to Slack

Track LinkedIn Mentions in Google Sheets

Analyze LinkedIn Post Performance in Google Sheets

Build a Monthly LinkedIn Analytics Report in Gamma

Turn LinkedIn Mentions into HubSpot Leads

Rank LinkedIn Brand Advocates in Google Sheets

LinkedIn tools your agent can call

Company page posts and mentions

Single posts

Widgets and their analytics

One URL in your client

Open the Add custom connector page in Claude

Add the EmbedSocial MCP URL

Connect and authorize

Start prompting

Turn on Developer mode in ChatGPT

Add a custom plugin

Add the EmbedSocial MCP URL

Connect and authorize

Start prompting

Open MCP settings

Add the EmbedSocial config

Connect and authorize

Start prompting

Register the EmbedSocial MCP server

Open the MCP menu

Enable EmbedSocial

Start prompting

Use the EmbedSocial MCP URL

Connect and authorize

Start prompting

Run LinkedIn for clients from Claude or ChatGPT

LinkedIn API, third-party MCPs, or EmbedSocial

Would rather build it into your own product?

LinkedIn MCP FAQ

Give your agent your LinkedIn