Official description7 sourcesMCP servers8d ago
timkulbaev/mcp-linkedin
Publish, comment and react on LinkedIn
View on GitHub ↗Direct link · no redirect page
Config template (adjust for your client)
claude mcp add mcp-linkedin -- npx -y mcp-linkedin
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 2 ★ · timkulbaev/mcp-linkedin · read from the GitHub search API · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
- Score
- score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
timkulbaev/mcp-linkedin；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
mcp-linkedin
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
An MCP server that lets AI assistants publish to LinkedIn on your behalf.
What it does
This is a Model Context Protocol (MCP) server that wraps the Unipile API to give AI assistants (Claude Code, Claude Desktop, or any MCP-compatible client) the ability to create posts, comments, and reactions on LinkedIn. The AI writes the content; this tool handles the publishing. All publishing actions default to preview mode — nothing goes live without explicit confirmation.
Features
- 3 tools: publish, comment, react
- Dry run by default (preview before publishing)
- Auto-likes posts immediately after publishing
- Media attachments (local files or URLs — images and video)
- Company @mentions (auto-resolved via Unipile)
- Works with Claude Code, Claude Desktop, and any MCP client
Prerequisites
- **Node.js 18+** — uses ES modules, node:test, and top-level await
- **Unipile account** — Unipile is the service that connects to LinkedIn's API. Sign up, connect your LinkedIn account, and get your API key and DSN from the dashboard.
Installation
Configuration
Claude Code
Add to ~/.claude/mcp.json:
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
Restart Claude Code or Claude Desktop after editing the config.
Environment variables
| Variable | Required | Description |
|----------|----------|-------------|
| UNIPILE_API_KEY | Yes | Your Unipile API key (from the Unipile dashboard) |
| UNIPILE_DSN | Yes | Your Unipile DSN (e.g. api16.unipile.com:14648) |
These are passed via the MCP config, not a .env file. The server reads them from process.env at startup.
Tools
linkedin_publish
Creates an original LinkedIn post.
**dry_run defaults to true.** Call with dry_run: true first to get a preview, then call again with dry_run: false to actually publish.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| text | string | yes | — | Post body, max 3000 characters |
| media | string[] | no | [] | Local file paths or URLs (jpg, png, gif, webp, mp4) |
| mentions | string[] | no | [] | Company names to @mention (auto-resolved) |
| dry_run | boolean | no | true | Preview without publishing |
Preview response (dry_run: true):
Publish response (dry_run: false):
After publish, save the post_id and construct the post URL:
---
linkedin_comment
Posts a comment on an existing LinkedIn post.
**dry_run defaults to true.**
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| post_url | string | yes | — | LinkedIn post URL or raw URN (urn:li:activity:... or urn:li:ugcPost:...) |
| text | string | yes | — | Comment text |
| dry_run | boolean | no | true | Preview without posting |
---
linkedin_react
Reacts to a LinkedIn post. This action is immediate — there is no dry_run.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| post_url | string | yes | — | LinkedIn post URL or raw URN |
| reaction_type | string | no | "like" | One of: like, celebrate, support, love, insightful, funny |
What it does
This is a Model Context Protocol (MCP) server that wraps the Unipile API to give AI assistants (Claude Code, Claude Desktop, or any MCP-compatible client) the ability to create posts, comments, and reactions on LinkedIn. The AI writes the content; this tool handles the publishing. All publishing actions default to preview mode — nothing goes live without explicit confirmation.
Features
- 3 tools: publish, comment, react
- Dry run by default (preview before publishing)
- Auto-likes posts immediately after publishing
- Media attachments (local files or URLs — images and video)
- Company @mentions (auto-resolved via Unipile)
- Works with Claude Code, Claude Desktop, and any MCP client
Prerequisites
- **Node.js 18+** — uses ES modules, node:test, and top-level await
- **Unipile account** — Unipile is the service that connects to LinkedIn's API. Sign up, connect your LinkedIn account, and get your API key and DSN from the dashboard.
Installation
Configuration
Claude Code
Add to ~/.claude/mcp.json:
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
Restart Claude Code or Claude Desktop after editing the config.
Environment variables
| Variable | Required | Description |
|----------|----------|-------------|
| UNIPILE_API_KEY | Yes | Your Unipile API key (from the Unipile dashboard) |
| UNIPILE_DSN | Yes | Your Unipile DSN (e.g. api16.unipile.com:14648) |
These are passed via the MCP config, not a .env file. The server reads them from process.env at startup.
Tools
linkedin_publish
Creates an original LinkedIn post.
**dry_run defaults to true.** Call with dry_run: true first to get a preview, then call again with dry_run: false to actually publish.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| text | string | yes | — | Post body, max 3000 characters |
| media | string[] | no | [] | Local file paths or URLs (jpg, png, gif, webp, mp4) |
| mentions | string[] | no | [] | Company names to @mention (auto-resolved) |
| dry_run | boolean | no | true | Preview without publishing |
Preview response (dry_run: true):
Publish response (dry_run: false):
After publish, save the post_id and construct the post URL:
---
linkedin_comment
Posts a comment on an existing LinkedIn post.
**dry_run defaults to true.**
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| post_url | string | yes | — | LinkedIn post URL or raw URN (urn:li:activity:... or urn:li:ugcPost:...) |
| text | string | yes | — | Comment text |
| dry_run | boolean | no | true | Preview without posting |
---
linkedin_react
Reacts to a LinkedIn post. This action is immediate — there is no dry_run.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| post_url | string | yes | — | LinkedIn post URL or raw URN |
| reaction_type | string | no | "like" | One of: like, celebrate, support, love, insightful, funny |
- Source
- awesome · https://github.com/timkulbaev/mcp-linkedin
- Browse by field
- MCP servers
- Traction
- 2 ★
- added
- yesterday
More in MCP servers
Filed under
Every tag opens the full list for that filter. Counts are the live catalogue figures.