From 8613ef22b01159798c19d68d882552f4a2ef61e3 Mon Sep 17 00:00:00 2001 From: Rererr Date: Sun, 12 Jul 2026 01:34:18 +0900 Subject: [PATCH] Add Glama score badge to amenbo entry Co-Authored-By: Claude Fable 5 --- README-ja.md | 2 +- README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README-ja.md b/README-ja.md index 9076cd43d..883c28eb9 100644 --- a/README-ja.md +++ b/README-ja.md @@ -522,7 +522,7 @@ aliyun/alibabacloud-tablestore-mcp-server ☕ 🐍 ☁️ - 阿里云表格存 - [yamanoku/baseline-mcp-server](https://github.com/yamanoku/baseline-mcp-server) 📇 🏠 - Web Platform APIを使ってBaselineの状態を検索してくれるMCPサーバー - [Wuye-AI/mcp-server-wuye-ai](https://github.com/wuye-ai/mcp-server-wuye-ai) 🎖️ 📇 ☁️ - CRICプロパティAIプラットフォームに接続するMCPサーバーです。CRICプロパティAIは、克而瑞がプロパティ業界向けに開発したインテリジェントAIアシスタントです。 - [Pearch-ai/mcp_pearch](https://github.com/Pearch-ai/mcp_pearch) 🎖️ 🐍 ☁️ - 人材発掘にかかる時間を短縮する、最高の人物検索エンジン -- [Rererr/amenbo](https://github.com/Rererr/amenbo) 📇 🏠 - 日本語Web特化の低負荷・トークン効率重視のWeb収集サーバー。見出しツリーによる段階開示、Shift_JIS/EUC-JPの文字化け対策、PDF/CSV抽出、robots.txt遵守の礼儀正しいクロールを備える。`npx -y amenbo`で導入可能。 +- [Rererr/amenbo](https://github.com/Rererr/amenbo) [![Rererr/amenbo MCP server](https://glama.ai/mcp/servers/Rererr/amenbo/badges/score.svg)](https://glama.ai/mcp/servers/Rererr/amenbo) 📇 🏠 - 日本語Web特化の低負荷・トークン効率重視のWeb収集サーバー。見出しツリーによる段階開示、Shift_JIS/EUC-JPの文字化け対策、PDF/CSV抽出、robots.txt遵守の礼儀正しいクロールを備える。`npx -y amenbo`で導入可能。 ### 🔒 セキュリティ diff --git a/README.md b/README.md index f0614e8d0..8ecde984e 100644 --- a/README.md +++ b/README.md @@ -2580,7 +2580,7 @@ Tools for conducting research, surveys, interviews, and data collection. - [r-huijts/opentk-mcp](https://github.com/r-huijts/opentk-mcp) 📇 ☁️ - Access Dutch Parliament (Tweede Kamer) information including documents, debates, activities, and legislative cases through structured search capabilities (based on opentk project by Bert Hubert) - [reading-plus-ai/mcp-server-deep-research](https://github.com/reading-plus-ai/mcp-server-deep-research) 📇 ☁️ - MCP server providing OpenAI/Perplexity-like autonomous deep research, structured query elaboration, and concise reporting. - [reflex-search/reflex](https://github.com/reflex-search/reflex) [![reflex-search/reflex MCP server](https://glama.ai/mcp/servers/reflex-search/reflex/badges/score.svg)](https://glama.ai/mcp/servers/reflex-search/reflex) 🦀 🏠 🍎 🪟 🐧 - Local full-text code search for AI coding agents. Trigram-indexed, sub-100ms queries across large codebases, offline, 18 languages. -- [Rererr/amenbo](https://github.com/Rererr/amenbo) 📇 🏠 - Japanese-web-native web fetching optimized for low target-site impact and token efficiency. Outline-first progressive disclosure, Shift_JIS/EUC-JP mojibake handling, PDF/CSV extraction, and polite crawling (robots.txt, rate limits, honest User-Agent). Install via `npx -y amenbo`. +- [Rererr/amenbo](https://github.com/Rererr/amenbo) [![Rererr/amenbo MCP server](https://glama.ai/mcp/servers/Rererr/amenbo/badges/score.svg)](https://glama.ai/mcp/servers/Rererr/amenbo) 📇 🏠 - Japanese-web-native web fetching optimized for low target-site impact and token efficiency. Outline-first progressive disclosure, Shift_JIS/EUC-JP mojibake handling, PDF/CSV extraction, and polite crawling (robots.txt, rate limits, honest User-Agent). Install via `npx -y amenbo`. - [ricocf/mcp-wolframalpha](https://github.com/ricocf/mcp-wolframalpha) 🐍 🏠 ☁️ - An MCP server lets AI assistants use the Wolfram Alpha API for real-time access to computational knowledge and data. - [rubenayla/partle-mcp](https://github.com/rubenayla/partle-mcp) [![rubenayla/partle-mcp MCP server](https://glama.ai/mcp/servers/@rubenayla/partle/badges/score.svg)](https://glama.ai/mcp/servers/@rubenayla/partle) 🐍 ☁️ - Search products and stores in nearby physical stores. Find what you need locally instead of waiting for delivery. Remote MCP server (Streamable HTTP, no API key required). - [sascharo/gxtract](https://github.com/sascharo/gxtract) 🐍 ☁️ 🪟 🐧 🍎 - GXtract is a MCP server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment.