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A WordPress MCP Server – Connect Claude Desktop to WordPress via AI

Hacker News

A WordPress MCP Server – Connect Claude Desktop to WordPress via AI

Hi HN, I built a WordPress MCP Server that connects Claude Desktop to any WordPress site using the Model Context Protocol (MCP). It's designed for developers who want to work with WordPress content directly from their editor, assisted by AI. You can interact with posts, plugins, and themes through Claude — for example: Browse and edit content contextually Debug and develop plugins with AI help Automate repetitive WordPress tasks It’s fully open-source and self-hosted: https://github.com/docdyhr/mcp-wordpress I’m looking for feedback from developers interested in AI-assisted workflows, WordPress tooling, and protocol-based app integration. Happy to answer any questions — and open to contributors! – Thomas

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, mcp · Missing: mac, agents, macos
96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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