io.contentin/linkedin · v1.0.0 · marketing-and-seo
ContentIn — LinkedIn Ghostwriter is healthy: it completed an MCP handshake in 1826 ms and exposes 11 tools. It scores 59/100.
Write LinkedIn posts in your voice: ideas, drafts, scheduling, analytics from your personal AI.
Endpoint: https://mcp.contentin.io/mcp-server (streamable-http)
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| health | 18.7 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-15T08:50:16.355Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T00:20:51.854Z | Healthy | 1826 |
list_posts | List the posts on this ContentIn profile — drafts, scheduled, published and ideas. Use this to find a post's id before scheduling, publishing, repurposing or pulling analytics for it, and to answer questions about what the user has written or has queued up. Returns a 280-character excerpt of each po |
get_post_analytics | Get LinkedIn performance for one published ContentIn post: impressions, members reached, likes, comments, shares, and a derived engagement rate. IMPORTANT: metrics are fetched on a schedule and only for posts published through a connected LinkedIn account, so a post can legitimately have no numbers |
list_my_comments | List the comments this user has left on OTHER people's LinkedIn posts, newest first, with the comment urn and a direct link to each one. Use it to review their commenting activity, to find a conversation they joined, or to hand the identifiers to another tool. HOW THIS DATA IS COLLECTED, and what yo |
list_leads | List the people who engaged with THIS user's own LinkedIn posts — their name, headline, LinkedIn profile, how they engaged, what they commented, which posts pulled them in, and ContentIn's ICP fit score. Use it to answer 'who is engaging with me', to find warm contacts, or to see which posts attract |
write_post_in_my_voice | THE MAIN TOOL. Write a LinkedIn post in this user's own voice, from their own material. Use it whenever the user describes something they want to post about — a story, an opinion, a result, a lesson, a rough brief. It runs ContentIn's voice pipeline: their VoiceDNA, their real past posts as style ex |
attach_images | Attach one or more images to a ContentIn post that is not published yet. IMAGES ONLY — JPG, PNG or WEBP, at least 200×200px, at most 8 MB each, and at most 5 per post. Video, GIFs, PDFs and document carousels are NOT supported and will be refused, so do not try to attach one. Pass each image either |
repurpose_post | Rewrite an existing post from a new angle, in the user's voice. Pass post_id (a ContentIn post id from list_posts) to repurpose one of their own posts — the current text is read from ContentIn, so you do not need to have seen it. Pass original_post instead to repurpose text you already have that is |
generate_ideas | Generate fresh LinkedIn post ideas for a COLD request — the user wants options but has NOT given you material of their own ('what should I post about this week?', 'ideas for [topic]'). Ideas are grounded in the user's content pillars and their substance bank, so they are theirs rather than generic. |
capture_substance | Save a piece of the user's first-party substance — a story, an opinion, a data point, or a framework — into their ContentIn content bank, filed under one of their content pillars. This is the highest-leverage thing you can do for them: everything ContentIn writes later is grounded in this bank, so c |
schedule_post | Queue a post for automatic publishing to LinkedIn at a given time. TWO-STEP AND DELIBERATELY SO: call it first WITHOUT confirm_token to get back the exact text and a confirm_token; show that exact text to the user, get their explicit go-ahead, then call again with the same arguments plus the confirm |
publish_post | Publish a post to the user's LinkedIn immediately. THIS IS IRREVERSIBLE — it is public the moment it succeeds. TWO-STEP AND MANDATORY: call it first WITHOUT confirm_token to get back the exact text that would go out and a confirm_token; show that exact text to the user in full, ask them to confirm i |