Alternatives
Products that do what Japan Seasons API does
Cherry blossom & foliage API for AI agents and developers
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com
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2025 · npmjs.com
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2021 · japan-api.github.io
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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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I wrote this JMAP MCP server that adds email management tools to Claude for searching, reading, and sending emails through FastMail and other JMAP providers in Deno!
2025 · github.com
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
25d ago · github.com
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Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them
2025 · twitter.com
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Live cherry blossom map for Japan tourists. 100% free.
Mar 2026 · sakura-finder.vercel.app
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I am Rohan, and I have grown really frustrated with CC's search and read tools. They use Haiku to summarise all the search results, so it is really slow and often ends up being very lossy. I built this MCP that you can install into your coding agents so they can actually access the web properly. Right now it can: - search the general web - search Reddit - read and scrape basically any webpage Install it: npx openalmanac setup The MCP is completely free to use. We have also built a central store where you can contribute things you learned while exploring. If you find something useful, you can…
Apr 2026 · openalmanac.org
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Hey HN, Sagiv from liblab is here. We've been deep in the world of API tooling for years at liblab, primarily focusing on generating SDKs and documentation from OpenAPI specs. Recently, we kept running into a recurring frustration: connecting AI tools to existing APIs is way more complex than it should be. You start with a simple goal – let an LLM talk to your API – and suddenly you're neck-deep in spinning up infrastructure, wrestling with authentication, and writing a ton of custom glue code just to translate natural language into structured API calls. Then you have to maintain it all. To…
2025 · mcp.liblab.com
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I’m the developer behind the Web MCP at Bright Data. We just launched a free tier so any AI Engineer/ Vibe coder can give their LLM real web access — 5,000 requests/month at no cost. Unlike most MCP servers that wrap a single SaaS API (e.g. Gmail, GitHub), the Web MCP wraps the entire internet. It handles JS-heavy sites, auto-solves CAPTCHAs, and returns clean Markdown your model can use. Free tier includes: search_engine → search results from Google/Bing/Yandex scrape_as_markdown → fetch any URL as clean, LLM-friendly Markdown (with CAPTCHA handling) Quick start:…
2025 · github.com
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Built this to give AI assistants native Reddit access. No more copy-pasting links. You can ask things like "what's the sentiment on TypeScript vs JavaScript in r/webdev" or "analyze the top posts about GPT-5 today" and get instant analysis. Technical: TypeScript, 3-tier rate limiting (anonymous works fine for most), LRU cache under 50MB. Works with any MCP client, not just Claude. Someone used it to track reactions to H-1B changes across different country subreddits in real-time - that was pretty cool to see. Open to feature requests and contributions welcome! Would love to hear how you…
Sep 2025 · github.com
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com
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