write_content_candidates

MCP tool from Productclank MCP Server by covariance-network

Draft up to 25 post candidates into your space. They land as unreviewed drafts — a human reviews and schedules; nothing auto-publishes

How to use it

write_content_candidates is exposed by the Productclank MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the write_content_candidates tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

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Other tools in Productclank MCP Server (24)

add_delegate

Hand a campaign to a human to manage in the web app

boost_post

Rally the community to engage a specific post — 10 AI-drafted replies (200 cr), 30 likes or 10 reposts (300 cr). Auto-detects platform from the URL: X, Instagram, TikTok, LinkedIn, Reddit, Farcaster, YouTube

check_balance

Your credit balance and plan

create_campaign

Create a discovery campaign: continuously find relevant posts + draft community replies

create_content_campaign

Launch the content campaign: the community creates posts/threads/videos for your product; submissions and winner selection happen in the web app

create_product

List a product from just its website URL (token-free listing, auto-filled)

credit_history

Your credit transactions (spend + rewards), newest first

find_open_campaigns

Discover content & take-action campaigns the user can join — public ones plus their communities'

find_opportunities

Browse unclaimed reply drafts the user can post to earn (replies only — likes and reposts need a screenshot and stay in the web app)

generate_posts

Run discovery: scrape matching posts and draft a reply for each

get_campaign_activity

What's new since the last check — posts found, replies claimed, live links to what went out

get_campaign_brief

Read a campaign's full brief: what to create or do, judging criteria, rewards, deadline, remaining allowance

get_campaign_results

Spend vs outcomes: the funnel, approval + survival rates, cost per usable reply

get_earnings

The user's participation totals: points, credits, reply stats

get_my_submissions

Track submission status + the reviewer's notes

list_content_spaces

List the content spaces you can draft into

regenerate_replies

Redraft selected replies with an edit request

review_posts

AI-score posts against relevancy rules, prune the irrelevant (dry-run billed too)

search_products

Resolve your ProductClank products to a productid

set_campaign_schedule

Put discovery on a schedule so it keeps finding conversations between sessions. Shows the projected daily cost and requires an explicit yes before enabling

submit_campaign_work

Submit the user's work: a content or action-proof URL, a hosted image/video made for the task (mediaurl — links only, no uploads), and/or a description. X posts are author-verified. Pending → owner review → Stars/points

submit_participation

Submit the posted reply's URL (X, Reddit, YouTube, LinkedIn) — attributed to the user's linked handle for that platform, then points/credits are awarded

suggest_content_campaign

AI-drafted preview of a community content campaign (title, description, CTA) + affordability check. Nothing is created

update_campaign

Merge keywords, enable the discovery sources research found, move the relevance bar, pause/resume, re-aim the platform targeting, change who posts the drafts