# Qiita MCP for AI Agents AI Agent Connect > Qiita MCP lets you manage your presence on Japan's biggest developer knowledge platform directly from your AI agent. You can draft, publish, and edit articles using Markdown, search for trending technical content, and engage with the community by following users or liking posts. It's the fastest way to build your reputation in the Japanese dev ecosystem without constantly switching tabs. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_ZEJajRT76KBkOQBETqfOX2KD9ejRygbkMIdv6DiC/ai-agent-connect - **Tags:** blogging, technical-writing, community, articles, qiita, japan, japanese ## Description Writing for the Japanese developer community usually means juggling a lot of tabs between your code editor, your notes, and the Qiita platform. This Connector changes that by bringing the entire platform into your current workspace. You can tell your agent to draft a new technical post in Markdown, set the tags, and push it live or save it as a private draft for later. It handles the tedious parts of community management too. If you need to keep up with what's trending, you can ask your agent to find the latest articles on specific tags or search for keywords. You can also manage your social presence by following new developers, liking posts, and bookmarking content for later reading. It's a great way to keep your technical presence active while you stay focused on your actual work. You'll find that having this connected through the Vinkius catalog makes it much easier to maintain a consistent content strategy without the friction of manual data entry. ## Tools ### edit_comment Updates the text of an existing comment you wrote. Use this to clarify points in a technical discussion. ### follow_tag Adds a specific tag to your personalized feed. This helps you see more content about topics you care about. ### follow_user Adds a specific user's new articles to your personal feed. Use this to keep up with your favorite developers. ### get_comments Fetches all comments from an article. Use this to review community feedback or check for sentiment. ### get_my_articles Lists all the articles you've published on the platform. Use this to audit your own content history. ### get_my_profile Retrieves your authenticated profile information. This is helpful for verifying your identity or user ID. ### get_tag_articles Finds all articles associated with a specific tag. This is great for deep-diving into a single tech topic. ### get_tag_detail Provides specific details and popularity metrics for a Qiita tag. Use this to evaluate a topic's reach. ### get_tags Lists popular tags on the platform sorted by follower count. Use this to see what the community is talking about. ### get_user_articles Fetches all articles published by a specific user. This is useful for competitive analysis or research. ### get_user_followees Shows the users that a specific account is currently following. Use this for social graph analysis. ### get_user_followers Lists the followers of a specific user. Use this to track audience growth and community influence. ### get_user_stocks Retrieves all the articles you've bookmarked. Use this to find content you saved for later. ### get_user Fetches a user's profile information based on their username. Use this to research specific authors. ### is_item_stocked Checks if you've already bookmarked a specific article. Use this to avoid duplicate bookmarks. ### like_article Adds an LGTM like to an article to boost its visibility. Use this to show appreciation to authors. ### post_comment Adds a new comment to an article. Use this to join a technical discussion or provide feedback. ### publish_article Publishes a new Markdown article with tags and optional privacy settings. This is the primary way to share content. ### search_articles Searches for articles using specific Qiita search syntax. Use this to find specific content quickly. ### stock_article Saves an article to your personal bookmarks for later reading. This is Qiita's way of saving content. ### unfollow_tag Removes a tag from your personalized content feed. Use this to declutter your discovery experience. ### unlike_article Removes your LGTM like from a specific article. Use this if you change your mind about a post. ### unstock_article Removes an article from your personal bookmarks. Use this to clean up your saved items. ### update_article Modifies the title, body, tags, or visibility of an existing article. Use this to fix typos or update content. ### delete_article Permanently removes an article and all its associated comments and likes. Use this only when you want a post gone forever. ### delete_comment Deletes a comment you authored from an article. This helps you clean up your own community interactions. ### get_article Retrieves the full content of a single article using its unique ID. It's useful for analyzing specific posts. ### get_teams Lists the Qiita Team organizations you currently belong to. Use this to see your enterprise knowledge shares. ### unfollow_user Removes a user from your personalized content feed. Use this to filter out content you no longer want to see. ## Prompt Examples **Prompt:** ``` Find the most popular tags on Qiita right now so I can see what's trending. ``` **Response:** ``` I've pulled the current popular tags for you. Here are the top 5: | Tag | Follower Count | | :--- | :--- | | **Rust** | 45k | | **TypeScript** | 38k | | **Go** | 32k | | **Next.js** | 28k | | **MCP** | 12k | It looks like **Rust** and **TypeScript** are seeing a lot of activity lately. ``` **Prompt:** ``` I want to publish a new article called 'Intro to MCP' in Markdown. Use the tags 'mcp, ai, devtools'. ``` **Response:** ``` I've published your article **'Intro to MCP'** to Qiita. It's now live with your requested tags and is visible to the community. You can view it here on your profile. ``` **Prompt:** ``` Who is currently following the user 'tanaka_dev'? ``` **Response:** ``` The user **'tanaka_dev'** currently has **1,240 followers**. I can also pull a list of their most recent articles if you'd like to see what they've been sharing lately. ``` ## Capabilities ### Publish articles in Markdown Create and push new technical posts or private drafts directly from your chat. ### Search Japanese tech trends Find trending topics, popular tags, and specific articles using Qiita search syntax. ### Manage your publication history Audit your own articles, view your profile, and see your community contributions. ### Engage with the community Like articles, post comments, and follow users or tags to curate your feed. ### Track content popularity Analyze follower counts and tag engagement to optimize your content strategy. ### Bookmark saved content Stock articles for later reading and check your existing bookmarks quickly. ## Use Cases ### Publishing a draft without leaving the editor A technical writer finishes a post in their editor and asks the agent to publish it to Qiita with three specific tags using `publish_article`. ### Researching Japanese tech trends A developer wants to see what's hot in the Japan dev scene and asks the agent to find the top tags and articles using `get_tags` and `search_articles`. ### Engaging with community leaders A community manager wants to build rapport with a specific author and asks the agent to like their last five posts using `like_article`. ### Auditing content performance A content creator wants to see their reach and asks the agent to list all their published articles and follower counts using `get_my_articles`. ## Benefits - Publish Markdown content directly from your workspace using `publish_article` to skip the browser entirely. - Identify trending Japanese tech topics instantly with `search_articles` and `get_tags` for better content strategy. - Build your community reputation by liking and commenting on posts with `like_article` and `post_comment`. - Curate a personalized content feed by following specific users and tags with `follow_user` and `follow_tag`. - Audit your own publication history and profile metrics using `get_my_articles` and `get_my_profile`. - Keep track of saved resources and bookmarks easily with `stock_article` and `get_user_stocks`. ## How It Works The bottom line is you can handle your entire Qiita content lifecycle from a single chat interface. 1. Subscribe to the Qiita MCP on Vinkius. 2. Enter your Qiita Access Token in your client settings. 3. Ask your agent to draft, search, or post content to your Qiita account. ## Frequently Asked Questions **Can I use the Qiita MCP to post my blog posts?** Yes, you can use it to publish new articles directly from your agent. It supports Markdown, so you can keep your formatting intact while pushing content to the platform. **Does the Qiita MCP help with finding Japanese tech trends?** Absolutely. You can ask your agent to search for specific keywords, browse popular tags, or find articles from specific authors to see what's moving the needle. **Can I manage my bookmarks using this?** Yes, the Connector lets you 'stock' articles, which is Qiita's version of bookmarking. You can also check if you've already saved something. **Is it possible to edit my old Qiita posts?** You can use the Connector to update the title, body, tags, or visibility of any article you've already published. **Can I use the Qiita MCP to interact with other developers?** Yes, you can use your agent to like articles, post comments on technical discussions, and follow specific users or tags. **Does the Qiita MCP work with my current code editor?** It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, so you can stay in your workspace. **Can I create a private article without publishing it to the community?** Yes! When using the `create_item` tool, set the `private` parameter to `true`. The article will be accessible only via direct link. **How do I search for articles about a specific technology?** Use the `get_items` tool with the `query` parameter. Qiita supports advanced search syntax like `tag:python`, `user:username`, and date filters like `created:>2024-01-01`. **What is the LGTM feature and how do I use it?** LGTM (Looks Good To Me) is Qiita's equivalent of a 'like'. Use the `like_item` tool with the article ID to express appreciation for quality content.