Data · Remote MCP server
Linkedin Posts
Scrape and analyze public LinkedIn posts as structured JSON via the Apify LinkedIn Posts API.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.johnisanerd/linkedin-posts- Version
- 1.0.0
- Status
- Active
- Category
- data
- Transport
- Streamable HTTP
- Published
- 2026-07-13
- Updated
- 2026-07-13
- Publisher
- johnisanerd (GitHub) · 24 servers with pages here
- Listed under
- LinkedIn MCP servers, Apify MCP servers
- Website
- apify.com/johnvc/linkedin-posts-api?fpr=9n7kx3&fp_sid=mcpregistry
- Repository
- github.com/johnisanerd/Apify-LinkedIn-Posts-API
- Source
- Registry API entry
Remote endpoints
| Transport | URL | Headers declared |
|---|---|---|
| Streamable HTTP | https://mcp.apify.com/?tools=johnvc/linkedin-posts-api | None |
How to connect Linkedin Posts
Linkedin Posts is a remote MCP server: there is nothing to install. Its endpoint is https://mcp.apify.com/?tools=johnvc/linkedin-posts-api, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.
No headers are declared in the registry entry. If the server needs you to sign in, a client that supports MCP authorization opens the service's own sign-in page when it first connects.
Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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