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MCPNavi
MCP services: connect your AI agent to data and tools
A directory of MCP services that connect AI agents like ChatGPT and Claude to data and tools. Every service lists compatible agents and connection methods. All data is read from public pages, and every service shows the date it was last checked.
Hi Product Hunt, I'm (we're) the maker of mcpnavi.jp.
MCP (Model Context Protocol) servers are the plugins that let ChatGPT, Claude and other agents reach your data and tools. There are now hundreds of them, spread across GitHub, npm, PyPI and vendor sites. Before you can use one you need to answer the same questions every time: Is it hosted, or do I run it myself? What authentication does it take? Which transport? Does it cost money? Is there documentation and support in Japanese?
mcpnavi answers those questions in one place. Today it lists 249 services in 22 categories, from GitHub and Cloudflare to Japanese government open data and accounting SaaS. 136 of them have Japanese documentation or support, which matters a lot for teams in Japan.
Three rules shaped the site:
Every value is read from a public page (the server itself, GitHub, npm, PyPI or the official site), and the source URL is stored with it. No vendor self-reporting, no reviews, no ratings.
Every service shows one "last checked" date, so you know how old the information is.
"Unknown" is a real value. If the public page does not say, the field says Unknown. Nothing is guessed.
Each provider has its own page too, with the type of operator (company, individual, open source, government) and whether it has a Japanese entity.
The site is static HTML, Japanese first with English at /en/, and it ships /llms.txt and /llms-full.txt so agents can read the whole directory as plain text.
Feedback I would value most:
Which fields are missing when you pick an MCP server?
Is "Unknown" useful, or is it noise on the cards?
Which services should be listed next? There is a listing request form on the site, and I read every request.
Thank you for taking a look.
About MCPNavi on Product Hunt
“MCP services: connect your AI agent to data and tools”
MCPNavi was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #99 on the daily leaderboard. A directory of MCP services that connect AI agents like ChatGPT and Claude to data and tools. Every service lists compatible agents and connection methods. All data is read from public pages, and every service shows the date it was last checked.
On the analytics side, MCPNavi competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how MCPNavi performed against the three products that launched closest to it on the same day.
Who hunted MCPNavi?
MCPNavi was hunted by Iqbal Abdullah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MCPNavi including community comment highlights and product details, visit the product overview.
Iqbal Abdullah
Hi Product Hunt, I'm (we're) the maker of mcpnavi.jp.
MCP (Model Context Protocol) servers are the plugins that let ChatGPT, Claude and other agents reach your data and tools. There are now hundreds of them, spread across GitHub, npm, PyPI and vendor sites. Before you can use one you need to answer the same questions every time: Is it hosted, or do I run it myself? What authentication does it take? Which transport? Does it cost money? Is there documentation and support in Japanese?
mcpnavi answers those questions in one place. Today it lists 249 services in 22 categories, from GitHub and Cloudflare to Japanese government open data and accounting SaaS. 136 of them have Japanese documentation or support, which matters a lot for teams in Japan.
Three rules shaped the site:
Every value is read from a public page (the server itself, GitHub, npm, PyPI or the official site), and the source URL is stored with it. No vendor self-reporting, no reviews, no ratings.
Every service shows one "last checked" date, so you know how old the information is.
"Unknown" is a real value. If the public page does not say, the field says Unknown. Nothing is guessed.
Each provider has its own page too, with the type of operator (company, individual, open source, government) and whether it has a Japanese entity.
The site is static HTML, Japanese first with English at /en/, and it ships /llms.txt and /llms-full.txt so agents can read the whole directory as plain text.
Feedback I would value most:
Which fields are missing when you pick an MCP server?
Is "Unknown" useful, or is it noise on the cards?
Which services should be listed next? There is a listing request form on the site, and I read every request.
Thank you for taking a look.