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.
Each capability maps to an MCP tool and a REST endpoint, so your agent can run your whole LinkedIn workflow end to end.
Search and organize your saved LinkedIn posts — your agent reads your whole library.
search_bookmarks · GET /v1/bookmarksDraft and create LinkedIn posts from your best saves, in your own voice.
create_draft · POST /v1/draftsQueue posts to the right slots and publish straight to LinkedIn.
schedule_post · POST /v1/schedulePull impressions, engagement and follower growth to see what lands.
get_analytics · GET /v1/analyticsLinkedmash speaks MCP, so it drops into the agents and editors you already use.
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{
"mcpServers": {
"linkedmash": {
"url": "https://mcp.linkedmash.com/api/mcp?token=lm_your_token_here"
}
}
}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 skillUse the path that fits — a conversational agent over MCP, or your own tools over a clean REST API.
The fastest way to give a chat agent your LinkedIn library and content tools.
Build on your saves and content with predictable JSON endpoints and webhooks.