LinkedInfluencer
Boost your LinkedIn presence effortlessly with LinkedInfluencer! This Python application automates the creation and posting of engaging content using RSS feeds, OpenAI's GPT, and AWS services. Keep your LinkedIn feed active and relevant without any manual effort.
Welcome to LinkedInfluencer, a cutting-edge Python application designed to transform your LinkedIn presence by automating the creation and posting of engaging content. Leveraging the power of RSS feeds, OpenAI's GPT, and AWS services, this tool ensures your LinkedIn feed remains active, relevant, and irresistibly engaging—all without lifting a finger!
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jaylann-linkedinfluencer — read its card at https://meshkore.com/agent/jaylann-linkedinfluencer/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/jaylann-linkedinfluencerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jaylann-linkedinfluencer/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own LinkedInfluencer?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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