Hashnode

@hashnode list the last 10 posts from blog.developerdao.com and summarize the main topics covered

I retrieved 10 recent posts from blog.developerdao.com. The publication focuses on web3 development education. Recent topics include: a tutorial on building decentralized applications with Solidity (3 days ago), a guide to IPFS integration patterns (5 days ago), a comparison of Layer 2 scaling solutions (1 week ago), and several posts on smart contract security best practices. The most engaged post this period was 'Common Reentrancy Vulnerabilities' with 247 reactions. All posts maintain a beginner-to-intermediate technical level with code examples.

This example demonstrates read-only publication browsing. The MCP returns post metadata (title, slug, brief, publication date, reaction counts) but not full article content. To read a specific article's body, you'd follow up with a fetch-by-slug request. No write permissions needed for this workflow.

@hashnode add a comment to the post 'common-reentrancy-vulnerabilities' on blog.developerdao.com saying 'Great breakdown of the checks-effects-interactions pattern. Would love to see a follow-up on cross-function reentrancy.'

Comment posted successfully. Your comment now appears on the 'Common Reentrancy Vulnerabilities' article under your Hashnode account. The comment ID is cmt_9x4k2p1, which you can reference if you need to edit or delete it later. Note that the comment is publicly visible immediately—Hashnode doesn't hold comments for moderation on this publication.

This write operation requires your API key to have comment permissions tied to an active Hashnode account. The MCP first resolves the post slug to a story ID, then submits the comment. Be aware: there's no undo via the MCP once posted. You'd need to manually delete through Hashnode's UI or use a separate delete tool if available.

@hashnode fetch the full article 'ipfs-integration-patterns' from blog.developerdao.com and extract any code snippets that show pinning files

I retrieved the full article content. The post includes three code examples demonstrating IPFS pinning. Snippet 1 shows basic pinning with the ipfs-http-client library in Node.js. Snippet 2 demonstrates pinning with metadata tags for organization. Snippet 3 covers unpinning and garbage collection. The author recommends using Pinata or Infura's IPFS service for production workloads rather than self-hosting, citing reliability concerns. The article's markdown includes inline comments explaining each API call.

This synthesis example pairs the MCP's full-content fetch with the AI's ability to parse markdown and extract relevant sections. The MCP returns the article's complete markdown body, which can be lengthy (this one was ~4,200 words). Useful for research or content analysis, but be mindful of token usage when processing multiple long-form articles in one session.

When Hashnode MCP beats manual blog inventory

A 6-person dev-rel team publishes 40+ posts a month across three Hashnode publications and needs to audit which series are stale, which authors are active, and which topics cluster together. The Hashnode MCP wins here because it exposes series pagination and publication metadata in a single API surface—your AI can pull every post from a series, group by author, and flag gaps in coverage without opening 40 browser tabs. The threshold: if you're only checking one or two posts a week, the MCP is overkill; just bookmark the publication. But once you're triaging a backlog or planning an editorial calendar, the fetch-and-filter loop justifies the API key setup. Set it up once, run the audit in Switchy, and route the findings to your content lead.

Using Hashnode MCP for comment triage at scale

A solo founder runs a technical blog on Hashnode with 200+ comments a month and wants to reply to questions, flag spam, and escalate feature requests without living in the dashboard. The Hashnode MCP is the right call if you're already using Switchy for support workflows—it surfaces the add-comment and add-reply tools so your AI can draft responses inline and post them back to the thread. The trade-off: Hashnode's comment API doesn't expose moderation actions like delete or ban, so you'll still need the web UI for cleanup. This works best when your volume is high enough that drafting replies in context saves 30+ minutes a week, but low enough that manual moderation is still feasible. If you're moderating 500+ comments monthly, you need a dedicated moderation platform, not an MCP.

When Hashnode MCP handles multi-blog research

A 3-person startup maintains two Hashnode publications—one for product updates, one for engineering deep-dives—and the support team needs to search both when answering customer questions about implementation details. The Hashnode MCP fits if your team already uses Switchy for knowledge lookup and you want a single search surface that spans both blogs without toggling tabs. The fetch-publication and fetch-single-article tools let your AI pull metadata and full post content by slug, so you can ask 'find the OAuth setup guide' and get the right post from either publication. The boundary: if your content is under 50 posts total, native Hashnode search is faster; the MCP pays off once you're searching across 100+ articles or need to cross-reference series. Plug in both hostnames, run the search, and surface the answer in your support thread.