by github30
Publish technical articles on Qiita — Japan’s largest knowledge-sharing platform for developers. Share code, tutorials,
Connects to Qiita, Japan's largest technical knowledge sharing platform, allowing you to search, read, publish and update articles through its API.
Qiita is a community-built MCP server published by github30 that provides AI assistants with tools and capabilities via the Model Context Protocol. Publish technical articles on Qiita — Japan’s largest knowledge-sharing platform for developers. Share code, tutorials, It is categorized under search web, productivity. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.
You can install Qiita in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Qiita is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
We evaluated Qiita against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Qiita against two servers with overlapping tools; this profile had the clearer scope statement.
Qiita has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Qiita is the kind of server we cite when onboarding engineers to host + tool permissions.
Qiita is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Qiita surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Qiita is the kind of server we cite when onboarding engineers to host + tool permissions.
Qiita reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Qiita reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Qiita into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Sarani Setuzoku
<img width="1120" height="486" alt="image" src="https://github.com/user-attachments/assets/04e14593-013e-4a37-b14b-843a46574c2d" />Input name, MCP Server URL, Auth and I believe and Create
| name | Qiita |
| MCP Server URL | https://qiita-com.fastmcp.app/mcp?token=YOUR_ACCESS_KEY |
| Auth | No Auth |
You can create token here. https://qiita.com/settings/tokens/new
<img width="725" height="1007" alt="image" src="https://github.com/user-attachments/assets/40c91f4a-b227-44d0-a2cb-a04246f8818b" />Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
