How do I install Taplio For LinkedIn?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Taplio For LinkedIn need an API key?

No required environment variable is listed on this record.

What transport does Taplio For LinkedIn use?

Taplio For LinkedIn is reached over HTTP.

When was Taplio For LinkedIn last checked?

Last checked 2026-11-09. Write, schedule and analyze LinkedIn posts, find inspiration, comment, like and connect via Taplio.

Taplio For LinkedIn MCP server

Taplio LinkedIn MCP Server

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The Taplio LinkedIn MCP Server is a Model Context Protocol (MCP) server that connects AI tools directly to your Taplio account and, through it, to your LinkedIn presence. It gives AI agents, assistants, and chat clients the ability to draft, schedule, and publish LinkedIn posts, browse what you have already posted, research inspiration from other creators, read your analytics, and engage: find posts worth commenting on, draft comments and replies, like posts, and send connection requests, all through natural language.

Point your MCP host at the Taplio server and you can ask things like:

"Draft a LinkedIn post about our new MCP launch and schedule it for Tuesday 9am."
"Show me my last 10 posts and which one got the most impressions."
"Find 20 high-performing posts about linkedin ghostwriting from creators under 50k followers."
"How are my followers and engagement trending over the last 30 days?"

Use cases

Turning raw ideas into publish-ready LinkedIn posts, on your own voice and topics.
Automating draft creation, scheduling, and publishing from any MCP-capable client.
Building AI-assisted content workflows and reporting on top of your real LinkedIn data.
Extracting insights and analytics from your posting history without leaving your assistant.

Remote Taplio MCP Server
Prerequisites
Installation
Authentication
Toolsets
Tools
Tool reference
- Profile
- Drafts
- Publishing
- Posts
- Analytics
- Inspiration
Recommended workflow
Library and lifecycle model
Limits and safety
Troubleshooting
Contributing
License

Remote Taplio MCP Server

Taplio is offered as a hosted, remote MCP server. There is nothing to install or run locally: your MCP host connects to the Taplio endpoint over HTTP and authenticates with OAuth.

Property	Value
Transport	Streamable HTTP (remote)
Endpoint	`https://mcp.taplio.com/`
Authentication	OAuth 2.0 (authorize in the browser, no API key to paste)
Scope	The authenticated user's own Taplio + LinkedIn account
Server hint	Call `get_me` first to load identity and settings

Because the server is remote and OAuth-based, you never copy a secret into a config file. Access is tied to the Taplio account you approve in the browser, and can be revoked from Taplio at any time.

Prerequisites

An active Taplio account with LinkedIn connected.
An MCP-capable host (Claude Code, Claude Desktop, Manus, VS Code with Copilot, Cursor, Windsurf, Grok, Mistral Le Chat, Raycast, or any client that speaks MCP over HTTP).
A browser available on first connect, to complete the OAuth authorization.

Installation

Claude Code

claude mcp add --transport http taplio https://mcp.taplio.com/

Then run /mcp inside Claude Code and authorize taplio in the browser when prompted.

Claude Desktop / claude.ai connectors

One click: open this link to get the "Add custom connector" dialog already filled in with the Taplio name and URL, then click Add.

Or do it manually: in Claude Desktop or on claude.ai, open Settings -> Connectors -> Add custom connector, then enter:

Name: Taplio
URL: https://mcp.taplio.com/

Approve the OAuth screen. The Taplio tools then appear in the tool picker.

Manus

Taplio is a native Manus plugin: one click, no server URL to paste.

Open the Manus plugins directory.
Find Taplio and click Connect.
Sign in to your Taplio account and approve access.

The Taplio tools are then available in your Manus tasks.

VS Code

Add to your user or workspace MCP configuration (.vscode/mcp.json):

{
  "servers": {
    "taplio": {
      "type": "http",
      "url": "https://mcp.taplio.com/"
    }
  }
}

Cursor

In ~/.cursor/mcp.json (or Settings -> MCP -> Add):

{
  "mcpServers": {
    "taplio": {
      "url": "https://mcp.taplio.com/"
    }
  }
}

Windsurf

In ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "taplio": {
      "serverUrl": "https://mcp.taplio.com/"
    }
  }
}

Grok

On grok.com, open Plugins -> New Connector -> Custom, then enter:

Name: Taplio
Server URL: https://mcp.taplio.com/

Click Add Connector and approve the Taplio sign-in in the popup window. Mention Taplio in your prompt (for example "Use Taplio to give me my LinkedIn stats of the day") so Grok picks the connector.

Mistral Le Chat

In Le Chat, open Context -> Connectors -> Add connector -> Add a custom connector, then enter:

Connector name: Taplio
Server: https://mcp.taplio.com/

Authentication is detected automatically (OAuth 2.1). Click Add connector and approve the Taplio sign-in. If Le Chat answers that no Taplio connector is available, name the tool in your prompt (for example "Use the Taplio connector's get_me tool").

Raycast

Install the Model Context Protocol Registry extension, run Search Servers, keep the Official registry, search for taplio, and choose Install Server. Raycast connects over HTTP and opens the Taplio sign-in.

Smithery

Open smithery.ai/servers/taplio/linkedin-mcp, click Add to toolbox, then Authenticate on the Taplio connector in your toolbox.

Generic MCP config

Any client that supports remote MCP servers over HTTP can use:

{
  "mcpServers": {
    "taplio": {
      "type": "http",
      "url": "https://mcp.taplio.com/"
    }
  }
}

Authentication

The Taplio MCP Server uses OAuth 2.0. On first use your client opens a browser window where you log in to Taplio and approve access. The server then acts on behalf of that single account. No API keys, tokens, or LinkedIn credentials are stored in your client config. Revoke access at any time from your Taplio account settings.

Toolsets

The tools are grouped into functional toolsets. All of them operate on the authenticated user's own account.

Toolset	Description
Account and analytics	Identity, content preferences, posts, and account and per-post analytics.
Drafts and media	Create, read, list, edit, and delete drafts; upload and attach media.
Schedule and publish	Publish a draft now, schedule it, or unschedule it back to drafts.
Inspiration	Search other creators' LinkedIn posts to model content on what works.
Engage	Find posts and comments worth engaging with, comment, reply, and like.
Network	Queue connection requests and follow up on them.

Tools

All 35 tools. Read-only tools never change anything; write tools change your Taplio drafts or act on LinkedIn, and clients that support tool annotations ask for confirmation before running them. Full input schemas are returned by the server (tools/list); the tool reference below details the core tools.

Account and analytics

get_me (read-only): Your identity, content preferences, and today's LinkedIn stats. Call it first.
list_posts (read-only): Your LinkedIn posts, newest first, from Taplio and published directly on LinkedIn.
get_post (read-only): One post by Taplio id or LinkedIn urn.
get_analytics_overview (read-only): Account analytics over time: followers, impressions, engagement.
get_post_analytics (read-only): Per-post impressions, likes, comments, and shares.

Drafts and media

list_drafts (read-only): Your unpublished LinkedIn post drafts.
get_draft (read-only): One draft by id.
create_draft (write): Create a draft, optionally with media.
update_draft (write): Rewrite a draft or attach media to it.
delete_draft (write): Permanently delete a draft.
list_media (read-only): Media already uploaded to Taplio.
create_media_upload_url (write): Get a one-time upload URL for an image, video, GIF, or PDF.
attach_media_from_url (write): Attach media from a public URL to a draft.
pick_media (write): Interactive panel to attach media from your library, in clients that support MCP Apps.
upload_media (write): Interactive panel to upload a new file and attach it, in clients that support MCP Apps.

Schedule and publish

schedule_draft (write): Schedule a draft to publish automatically at a future time.
unschedule (write): Move a scheduled post back to drafts.
publish_draft (write): Publish a draft now. It goes live and cannot be undone.

Inspiration

search_inspiration (read-only): Search other creators' LinkedIn posts for proven formats and angles.

Engage

find_posts_to_comment (read-only): Posts worth commenting on, from your posts, a curated feed, or a personalized selection.
list_comment_feeds (read-only): The curated feeds available for engagement.
find_comments_to_reply (read-only): Comments on posts that still deserve a reply.
list_comment_drafts (read-only): Your comment drafts, which are also the queue and history.
get_comment_draft (read-only): One comment draft, to confirm whether it was posted.
create_comment_draft (write): Draft a comment or a reply. Nothing reaches LinkedIn yet.
update_comment_draft (write): Rewrite a comment draft before it is committed.
commit_comment_draft (write): Queue a comment to be posted on LinkedIn under your name.
cancel_comment_draft (write): Cancel a queued comment before it is sent.
like_post (write): Queue a like on a post or a comment.
get_post_like (read-only): Status of a like you queued.
cancel_like (write): Cancel a queued like before it is sent.

Network

list_connection_requests (read-only): Every connection request you queued, with its status.
send_connection_request (write): Queue a connection request to someone by LinkedIn username.
get_connection_request (read-only): Status of the latest request for a username.
cancel_connection_request (write): Cancel a queued connection request before it is sent.

Tool reference

Profile

`get_me`

Read this first to orient. Returns the user's identity and content preferences so you can tailor output to them and recognize their own posts: display name and LinkedIn @handle (a user may go by several aliases, so check both), plus ai_settings (industry, role, language, target audience, topics, keywords, description) and today's LinkedIn stats (followers, connections, profile views).

No parameters.

Drafts

`create_draft`

Create a new LinkedIn post draft (unpublished). Publish it later with schedule_draft or publish_draft.

Parameter	Type	Required	Description
`content`	string	yes	The text body of the draft. 1 to 3000 characters.

`get_draft`

Fetch a single LinkedIn post draft by id.

Parameter	Type	Required	Description
`id`	string	yes	The id of the draft (from `list_drafts`).

`list_drafts`

List the user's unpublished LinkedIn post drafts.

Parameter	Type	Required	Description
`limit`	integer	no	Max drafts to return. Defaults to 25, capped at 100.
`cursor`	string	no	Pagination token from a previous response.

`update_draft`

Update the content of an existing draft. Only drafts can be edited: published or scheduled posts cannot.

Parameter	Type	Required	Description
`id`	string	yes	The id of the draft to update (from `list_drafts`).
`content`	string	yes	The new full text body (replaces existing). 1 to 3000 chars.

`delete_draft`

Permanently delete a LinkedIn post draft.

Parameter	Type	Required	Description
`id`	string	yes	The id of the draft to permanently delete.

Publishing

`publish_draft`

Publish a draft to LinkedIn immediately. This goes live now and cannot be undone.

Parameter	Type	Required	Description
`id`	string	yes	The id of the draft to publish immediately.

`schedule_draft`

Schedule a draft to be published automatically at a future time.

Parameter	Type	Required	Description
`id`	string	yes	The id of the draft to schedule (from `list_drafts`).
`scheduled_for`	string	yes	ISO 8601 datetime (e.g. `2026-06-10T14:30:00Z`). At least 2 minutes in the future.

`unschedule`

Unschedule a scheduled post, returning it to drafts so you can edit, reschedule, or delete it.

Parameter	Type	Required	Description
`id`	string	yes	The id of the scheduled post (from `list_posts`).

Posts

`list_posts`

List the user's LinkedIn posts (status scheduled, sending, or sent), most recent first. A draft becomes a post once it is scheduled or published.

Parameter	Type	Required	Description
`status`	enum	no	Filter by `scheduled`, `sending`, or `sent`. Omit for all three.
`from`	string	no	Only posts on or after this date (YYYY-MM-DD or ISO 8601, UTC).
`to`	string	no	Only posts on or before this date (YYYY-MM-DD or ISO 8601, UTC).
`limit`	integer	no	Max posts to return. Defaults to 25, capped at 100.
`cursor`	string	no	Pagination token from a previous response.

`get_post`

Fetch a single LinkedIn post by id. A post has status scheduled, sending, or sent; drafts are separate (use get_draft).

Parameter	Type	Required	Description
`id`	string	yes	The id of the post (from `list_posts`).

Analytics

`get_analytics_overview`

Get the user's LinkedIn analytics overview (followers, impressions, engagement). Defaults to today when no date range is given.

Parameter	Type	Required	Description
`from`	string	no	Start date (YYYY-MM-DD, UTC). Defaults to today; range capped at 90 days.
`to`	string	no	End date (YYYY-MM-DD, UTC). Defaults to today; range capped at 90 days.
`metrics`	string	no	Comma-separated subset: `followers, connections, profile_views, impressions, likes, comments, shares`. Omit for all.
`granularity`	enum	no	Time-bucket size; only `day` is supported (default).

`get_post_analytics`

List the user's per-post analytics (impressions, likes, comments, shares), defaulting to the last 7 days.

Parameter	Type	Required	Description
`from`	string	no	Start date (YYYY-MM-DD, UTC). Defaults to 7 days ago; range capped at 90 days.
`to`	string	no	End date (YYYY-MM-DD, UTC). Defaults to today; range capped at 90 days.
`limit`	integer	no	Max posts to return. Defaults to 25, capped at 100.
`cursor`	string	no	Pagination token from a previous response.

Inspiration

`search_inspiration`

Search LinkedIn posts from other creators to use as inspiration.

Parameter	Type	Required	Description
`query`	string	no	Free-text search over post content. Omit to browse top posts.
`lang`	string	no	Filter by ISO 639-1 language code (e.g. `en`, `fr`).
`min_likes`	integer	no	Only posts with at least this many likes. 0-1000; defaults to 50.
`min_comments`	integer	no	Only posts with at least this many comments. 0-1000; defaults to 0.
`min_char_count`	integer	no	Only posts with at least this many characters. 0-10000; defaults to 500.
`max_followers`	integer	no	Only posts whose author has at most this many followers. Defaults to 100000.
`min_days_old`	integer	no	Only posts at least N days old (0-365); defaults to 1. Overrides `from`/`to`.
`max_days_old`	integer	no	Only posts from the last N days (0-365). Overrides `from`/`to`.
`from`	string	no	Only posts on or after this date. Ignored if `min`/`max_days_old` is set.
`to`	string	no	Only posts on or before this date. Ignored if `min`/`max_days_old` is set.
`limit`	integer	no	Max posts to return. Minimum 1; defaults to 30.

Recommended workflow

Call get_me once at the start of a session to load the user's voice, topics, language, and stats.
Use search_inspiration to ground new content in what is currently working in the niche.
Draft with create_draft, iterate with update_draft.
Ship with schedule_draft (preferred) or publish_draft (immediate).
Report with get_analytics_overview and get_post_analytics, and cross-reference with list_posts.
Engage with find_posts_to_comment and find_comments_to_reply, draft with create_comment_draft, and only call commit_comment_draft, like_post, or send_connection_request once the user agrees.

Library and lifecycle model

A draft and a post are the same item at different stages of its life:

create_draft ─┐
              ├─> [ DRAFT ] ──schedule_draft──> [ scheduled ] ──(auto)──> [ sending ] ──> [ sent ]
update_draft ─┘        │                              │
                       └──────publish_draft───────────┴──(immediate)──> [ sending ] ──> [ sent ]

                       [ scheduled ] ──unschedule──> [ DRAFT ]

Drafts live in the drafts list (list_drafts) and are the only editable stage.
Scheduling or publishing a draft turns it into a post and moves it to the posts list (list_posts).
unschedule moves a scheduled post back to drafts; a sent post cannot be un-sent.

Limits and safety

Post length: 1 to 3000 characters (create_draft, update_draft).
Scheduling: scheduled_for must be at least 2 minutes in the future, ISO 8601, UTC recommended.
Analytics range: capped at 90 days per query; paginate with cursor for large result sets.
Irreversible actions: publish_draft goes live immediately and delete_draft is permanent. Confirm intent before calling either.
Queued engagement: commit_comment_draft, like_post, and send_connection_request queue the action; it reaches LinkedIn minutes or hours later, paced to keep the account safe. Each can be cancelled until it is sent (cancel_comment_draft, cancel_like, cancel_connection_request), and is irreversible once it is.
Scope: every tool acts only on the authenticated user's own Taplio and LinkedIn account.

Troubleshooting

Tools do not appear: confirm the server URL is https://mcp.taplio.com/ and that you completed the OAuth browser step. Re-run /mcp (Claude Code) or reconnect the connector.
401 / auth errors: your session may have expired or been revoked. Reconnect and re-authorize in the browser.
Cannot edit a post: only drafts are editable. If it is already scheduled, call unschedule first; if it is sent, it can no longer be changed.
Empty analytics: newly published posts take time to accumulate metrics; also check your date range against the 90-day cap.

Contributing

This repository documents the Taplio LinkedIn MCP Server. See CONTRIBUTING.md for how to report issues with the documentation or suggest improvements. For product support, contact Taplio.

License

This project is licensed under the terms of the MIT License. See LICENSE.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install Taplio For LinkedIn?

Does Taplio For LinkedIn need an API key?

What transport does Taplio For LinkedIn use?

When was Taplio For LinkedIn last checked?

Documentation

Taplio LinkedIn MCP Server

Use cases

Contents

Remote Taplio MCP Server

Prerequisites

Installation

Claude Code

Claude Desktop / claude.ai connectors

Manus

VS Code

Cursor

Windsurf

Grok

Mistral Le Chat

Raycast

Smithery

Generic MCP config

Authentication

Toolsets

Tools

Tool reference

Profile

get_me

Drafts

create_draft

get_draft

list_drafts

update_draft

delete_draft

Publishing

publish_draft

schedule_draft

unschedule

Posts

list_posts

get_post

Analytics

get_analytics_overview

get_post_analytics

Inspiration

search_inspiration

Recommended workflow

Library and lifecycle model

Limits and safety

Troubleshooting

Contributing

License

`get_me`

`create_draft`

`get_draft`

`list_drafts`

`update_draft`

`delete_draft`

`publish_draft`

`schedule_draft`

`unschedule`

`list_posts`

`get_post`

`get_analytics_overview`

`get_post_analytics`

`search_inspiration`