About LinkedMash
LinkedMash turns saved LinkedIn posts into a searchable library for creators and AI agents to find, organize, and reuse. It also supports syncing and exporting posts, plus drafting and publishing LinkedIn content.
Key features
- 01Import saved LinkedIn posts
- 02Full-text and AI search
- 03Labels and smart folders
- 04Sync to Notion, Google Sheets, Airtable, and Miro
- 05Export as CSV, JSON, or PDF
- 06Draft, schedule, and publish posts
Use cases
- 01Find and organize saved posts
- 02Sync saved content to other services
- 03Draft LinkedIn posts from saved content
- 04Schedule, publish, and analyze posts
MCP support
LinkedMash provides a hosted MCP server and a local server package on npm. MCP clients can use them to search and manage the saved-post library.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.linkedmash.com/api/mcpclaude mcp add --transport http linkedmash-linkedmash https://mcp.linkedmash.com/api/mcp{"mcpServers":{"linkedmash-linkedmash":{"type":"http","url":"https://mcp.linkedmash.com/api/mcp"}}}Open in Cursor{"servers":{"linkedmash-linkedmash":{"type":"http","url":"https://mcp.linkedmash.com/api/mcp"}}}Open in VS Code{"mcpServers":{"linkedmash-linkedmash":{"type":"http","url":"https://mcp.linkedmash.com/api/mcp"}}}{"mcpServers":{"linkedmash-linkedmash":{"serverUrl":"https://mcp.linkedmash.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.linkedmash.com/api/mcpAuth requiredTools
Details
From the project READMELinkedMash
LinkedMash imports your LinkedIn saved posts into a searchable library and auto-syncs them to Notion, Google Sheets, Airtable, and Miro, with a REST API and an MCP server so AI agents such as Claude, ChatGPT, Cursor, and Codex can search and manage the same library.
This repository is the public home of the LinkedMash developer surface: the hosted MCP server, the @linkedmash/mcp npm package, the REST API, and the agent skill. The product itself lives at linkedmash.com. The service source code is not published in this repository.
Connect an AI agent over MCP
LinkedMash runs a hosted MCP server, so there is nothing to install. Add it to your MCP client config:
{
"mcpServers": {
"linkedmash": {
"url": "https://mcp.linkedmash.com/api/mcp?token=<your-token>"
}
}
}
Or send the token as a header instead of a URL parameter:
https://mcp.linkedmash.com/api/mcp
Authorization: Bearer <your-token>
Prefer the header form where your client supports it; the URL form exists for clients that cannot set headers, and query strings can end up in request logs.
Create a token at linkedmash.com/integrations/api (login required). Note: the server accepts the initial MCP handshake before checking your token, so a wrong token shows up as a failure on the first tool call, not at connect time.
Per-client setup for Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Codex, OpenClaw, and ChatGPT: Connect Your Agent.
Local MCP server (npm)
Prefer a local stdio server? The same tools ship as @linkedmash/mcp:
LINKEDMASH_TOKEN=<your-token> npx -y @linkedmash/mcp
REST API
The REST API lives at https://api.linkedmash.com/v1 with Bearer authentication (saved posts are called bookmarks in the API):
curl -H "Authorization: Bearer <your-token>" "https://api.linkedmash.com/v1/bookmarks"
Start here:
Agent-readable Markdown versions exist for most doc pages: append .md to an api-docs URL, or start from llms.txt.
Agent skill
Teach a coding agent to drive LinkedMash end to end:
npx skills add linkedmash/agent-skills
Skill repo: linkedmash/agent-skills · Docs: Skills
What LinkedMash does
- Imports the posts you save on LinkedIn, text and media included, via a Chrome extension
- Full-text and AI search, labels, and smart folders across your whole library
- Auto-sync to Notion, Google Sheets, Airtable, and Miro
- Download your saved posts as CSV, JSON, or PDF
- An AI assistant that answers questions across your saves
- A Composer to draft, schedule, auto-publish, and analyze LinkedIn posts
Links
- Website: linkedmash.com
- For AI agents: linkedmash.com/for-ai-agents
- API docs: linkedmash.com/api-docs/getting-started
- npm: @linkedmash/mcp
Support
Questions or problems with the MCP server or API? Open an issue or reach out via linkedmash.com.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.