For AI Agents

Give your AI agent a LinkedIn brain

Agents like Claude, ChatGPT, Cursor, Codex and OpenClaw can search your saved posts and draft, schedule, publish and analyze LinkedIn content — over MCP or REST.

Read the agent docs
CYour agentMCP
Linkedmash connected
Find my best saved posts on cold outreach and schedule a draft for 9am.
linkedmashsearch_bookmarks6 results
linkedmashschedule_postMon 9:00
Drafted from your 6 strongest posts and scheduled it for 9am Monday. Want me to draft this week's follow-up too?
Capabilities

Everything your agent can do

Each capability maps to an MCP tool and a REST endpoint, so your agent can run your whole LinkedIn workflow end to end.

Saved posts

Search and organize your saved LinkedIn posts — your agent reads your whole library.

search_bookmarks · GET /v1/bookmarks

Content

Draft and create LinkedIn posts from your best saves, in your own voice.

create_draft · POST /v1/drafts

Schedule & publish

Queue posts to the right slots and publish straight to LinkedIn.

schedule_post · POST /v1/schedule

Analytics

Pull impressions, engagement and follower growth to see what lands.

get_analytics · GET /v1/analytics
Connect

Works with your agent

Linkedmash speaks MCP, so it drops into the agents and editors you already use.

CClaude
Claude Code
Cursor
{ }VS Code
Codex
OpenClaw
ChatGPT

Add Linkedmash as an MCP server and your agent gets the tools above. Paste the config, set your token, and you are connected.

Connect your agent
mcp.json
{
  "mcpServers": {
    "linkedmash": {
      "url": "https://mcp.linkedmash.com/api/mcp?token=lm_your_token_here"
    }
  }
}
Skills

Install the Linkedmash skill

Install the Linkedmash skill in one command — it brings the tools, the auth and the know-how to work your library, ready for Claude Code, Cursor and any Agent Skills client.

View the skill
linkedmash/agent-skills
$npx skills add linkedmash/agent-skills
# or, in Claude Code
/plugin marketplace add linkedmash/agent-skills
Two ways in

MCP for agents, REST for code

Use the path that fits — a conversational agent over MCP, or your own tools over a clean REST API.

MCP

For AI agents

The fastest way to give a chat agent your LinkedIn library and content tools.

  • Works with Claude, ChatGPT, Cursor and more
  • Search, draft, schedule and analyze from chat
  • One config block to connect
MCP docs
REST API

For your code

Build on your saves and content with predictable JSON endpoints and webhooks.

  • Bearer-token auth at api.linkedmash.com/v1
  • Search, labels, drafts, schedule and analytics
  • Webhooks for save, label and sync events
API docs
Get started

Give your agent its LinkedIn brain