LinkedMash

io.github.linkedmashPublished by GitHub account linkedmashv1.2.0Updated Oct 24, 2026

Search, label and export your LinkedIn saved posts, then draft, schedule and publish from them.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowKnowledge & MemoryCommunication & Collaboration

Overview

AI-generated overview

LinkedMash lets an assistant search, label and export your saved LinkedIn posts, and draft, schedule and publish LinkedIn posts from that library.

What you can do
Search, label and organize saved LinkedIn posts in a searchable library, including full-text and AI search and smart folders, and export them as CSV, JSON or PDF. Draft, schedule, auto-publish and analyze LinkedIn posts from the same library. Sync the library to Notion, Google Sheets, Airtable and Miro. The same tools are available through a hosted remote server or a local npm package.
When to use it
Use it when you save LinkedIn posts for research or content ideas and want an assistant to search that library, organize it with labels, or turn saved material into scheduled LinkedIn posts.
Requirements
A LinkedMash account and an API token created on the LinkedMash integrations page, supplied as the LINKEDMASH_TOKEN environment variable for the local npm package or as an Authorization bearer header for the remote endpoint. The remote server runs at mcp.linkedmash.com; the local option needs Node.js for npx. Network access is required.
Before you install
The token grants access to your LinkedMash library and posting features, so keep it private. The README warns that a token in the URL query string can end up in request logs and recommends the header form. The server accepts the MCP handshake before checking the token, so a bad token only fails on the first tool call. Publishing and scheduling posts writes to your LinkedIn account, and syncing sends library data to Notion, Google Sheets, Airtable and Miro.

Installation

In SourceWeft

  1. Open LinkedMash in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.linkedmash%2Flinkedmash/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

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

README

LinkedMash

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:

json
{  "mcpServers": {    "linkedmash": {      "url": "https://mcp.linkedmash.com/api/mcp?token=<your-token>"    }  }}

Or send the token as a header instead of a URL parameter:

text
https://mcp.linkedmash.com/api/mcpAuthorization: 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:

bash
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):

bash
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:

bash
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

Support

Questions or problems with the MCP server or API? Open an issue or reach out via linkedmash.com.

Source: README.md at commit 976160a

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.2.0LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts