Loading…
LinkedIn analytics, media uploads and scheduling for AI agents. Agents queue; Blabigo publishes.
Blabigo LinkedIn is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Blabigo LinkedIn to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add com.blabigo/linkedin-agent https://studio.blabigo.ai/api/mcp/linkedinReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-27T19:22:55.759385Z",
"publishedAt": "2026-10-27T19:22:55.759385Z",
"statusChangedAt": "2026-10-27T19:22:55.759385Z"
}
},
"server": {
"name": "com.blabigo/linkedin-agent",
"icons": [
{
"src": "https://blabigo.com/logo.png",
"sizes": [
"96x96"
],
"mimeType": "image/png"
}
],
"title": "Blabigo LinkedIn",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://studio.blabigo.ai/api/mcp/linkedin",
"type": "streamable-http"
}
],
"version": "1.6.0",
"websiteUrl": "https://blabigo.com/ai/linkedin-mcp-server",
"description": "LinkedIn analytics, media uploads and scheduling for AI agents. Agents queue; Blabigo publishes."
}
}