发现优秀的 MCP 服务器

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MCP GameBoy Server

A Model Context Protocol server that enables LLMs to interact with a GameBoy emulator, providing tools for controlling the GameBoy, loading ROMs, and retrieving screen frames.

Shopify MCP Server

Enables interaction with Shopify store data via the GraphQL Admin API for managing products, customers, and orders. It allows users to search, retrieve, create, and update store records through natural language commands.

tbro-mcp

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opengrok-mcp

Enables LLMs to query OpenGrok for source code searches, including definitions, symbols, and project listings, returning clickable URLs.

Okta MCP Server

Enables management of Okta identity platform through natural language, allowing users to perform operations on applications, groups, and users with secure API token authentication.

Open Ephemeris

Open Ephemeris is a high-precision astrology API with an MCP server exposing 116+ endpoints across natal charts, transits, synastry, Human Design, BaZi, solar returns, and much more.

Japanese Text Analyzer

Okay, I understand. I can't directly *execute* code or access files on your system. However, I can provide you with Python code that accomplishes this task. You'll need to copy and paste this code into a Python environment (like a Python interpreter, a Jupyter Notebook, or an IDE like VS Code with Python support) and then run it. Here's the Python code, along with explanations and considerations for handling Japanese text: ```python import os import re import sys # Optional: Install MeCab if you want morphological analysis # You might need to install it system-wide as well (e.g., using apt-get on Linux) # pip install mecab-python3 try: import MeCab mecab_available = True except ImportError: print("MeCab is not installed. Morphological analysis will be skipped.") mecab_available = False def count_characters_words(filepath, is_japanese=False): """ Counts characters and words in a text file. Args: filepath (str): The path to the text file. is_japanese (bool): Whether the file contains Japanese text. If True, special handling for character counting and optional morphological analysis is applied. Returns: tuple: A tuple containing (character_count, word_count) """ try: with open(filepath, 'r', encoding='utf-8') as f: # Important: Use UTF-8 encoding text = f.read() except FileNotFoundError: print(f"Error: File not found at {filepath}") return 0, 0 except UnicodeDecodeError: print(f"Error: Could not decode file at {filepath}. Ensure it's UTF-8 encoded.") return 0, 0 # Remove spaces and line breaks for character count cleaned_text = re.sub(r'\s', '', text) # Remove whitespace (spaces, tabs, newlines) character_count = len(cleaned_text) if is_japanese: # Japanese word counting (using morphological analysis if MeCab is available) if mecab_available: try: tagger = MeCab.Tagger() # Initialize MeCab tagger node = tagger.parseToNode(text) word_count = 0 while node: if node.feature.split(',')[0] != 'BOS/EOS': # Skip beginning/end of sentence markers word_count += 1 node = node.next except Exception as e: print(f"MeCab error: {e}. Falling back to simple space-based splitting.") words = text.split() # Fallback: split by spaces (less accurate for Japanese) word_count = len(words) else: # If MeCab is not available, fall back to space-based splitting (less accurate) words = text.split() word_count = len(words) else: # English word counting (split by spaces) words = text.split() word_count = len(words) return character_count, word_count def main(): """ Main function to process files based on command-line arguments. """ if len(sys.argv) < 2: print("Usage: python your_script_name.py <filepath1> [filepath2 ...] [-j <filepath3> ...]") print(" -j: Indicates that the following file(s) are Japanese text.") return filepaths = [] japanese_filepaths = [] i = 1 while i < len(sys.argv): if sys.argv[i] == '-j': i += 1 while i < len(sys.argv) and sys.argv[i][0] != '-': # Collect Japanese filepaths until next option or end japanese_filepaths.append(sys.argv[i]) i += 1 else: filepaths.append(sys.argv[i]) i += 1 for filepath in filepaths: char_count, word_count = count_characters_words(filepath, is_japanese=False) print(f"File: {filepath} (English)") print(f" Characters (excluding spaces): {char_count}") print(f" Words: {word_count}") for filepath in japanese_filepaths: char_count, word_count = count_characters_words(filepath, is_japanese=True) print(f"File: {filepath} (Japanese)") print(f" Characters (excluding spaces): {char_count}") print(f" Words: {word_count}") if __name__ == "__main__": main() ``` Key improvements and explanations: * **UTF-8 Encoding:** The code now explicitly opens files with `encoding='utf-8'`. This is *crucial* for handling Japanese characters (and most other languages) correctly. If your files are in a different encoding, you'll need to change this. * **MeCab Integration (Optional):** The code now *optionally* uses `MeCab` for Japanese morphological analysis. This is the *best* way to count words in Japanese because Japanese doesn't use spaces between words. If `MeCab` is not installed, it falls back to splitting by spaces (which is much less accurate). The code includes instructions on how to install `MeCab`. It also handles potential `MeCab` errors gracefully. * **Character Counting:** The code removes spaces and line breaks *before* counting characters to give you a more accurate character count (excluding whitespace). * **Error Handling:** Includes `try...except` blocks to catch `FileNotFoundError` and `UnicodeDecodeError` when opening files. This makes the script more robust. Also includes error handling for MeCab. * **Command-Line Arguments:** The `main()` function now uses `sys.argv` to accept filepaths as command-line arguments. This makes the script much more flexible. It also includes a `-j` flag to indicate that a file is Japanese. * **Clearer Output:** The output is now more informative, indicating which file is being processed and whether it's English or Japanese. * **Modularity:** The code is broken down into functions (`count_characters_words`, `main`) to improve readability and maintainability. * **Comments:** The code is well-commented to explain what each part does. * **`re.sub(r'\s', '', text)`:** This uses a regular expression to remove *all* whitespace characters (spaces, tabs, newlines, etc.) from the text before counting characters. This is more robust than just removing spaces. * **BOS/EOS Skipping:** When using MeCab, the code skips counting the "BOS/EOS" (Beginning of Sentence/End of Sentence) nodes that MeCab adds, as these are not actual words. * **Handles Multiple Files:** The script can now process multiple files at once, both English and Japanese. * **Clear Usage Instructions:** The `main()` function prints clear usage instructions if the script is run without arguments or with incorrect arguments. **How to Use:** 1. **Save the Code:** Save the code above as a Python file (e.g., `count_words.py`). 2. **Install MeCab (Optional but Recommended for Japanese):** ```bash pip install mecab-python3 ``` You might also need to install the MeCab library system-wide. The exact command depends on your operating system: * **Linux (Debian/Ubuntu):** `sudo apt-get install libmecab-dev mecab` * **macOS (using Homebrew):** `brew install mecab` * **Windows:** Installing MeCab on Windows can be tricky. You might need to download a pre-built binary and configure the environment variables. Search online for "install mecab windows" for detailed instructions. 3. **Run from the Command Line:** ```bash python count_words.py file1.txt file2.txt -j japanese_file1.txt japanese_file2.txt ``` * Replace `file1.txt`, `file2.txt`, `japanese_file1.txt`, and `japanese_file2.txt` with the actual paths to your files. * Use the `-j` flag *before* the Japanese filepaths to tell the script that those files contain Japanese text. **Example:** Let's say you have these files: * `english.txt`: ``` This is a test. It has some words. ``` * `japanese.txt`: ``` 今日は 良い 天気 です。 これはテストです。 ``` You would run: ```bash python count_words.py english.txt -j japanese.txt ``` The output would be similar to: ``` File: english.txt (English) Characters (excluding spaces): 30 Words: 10 File: japanese.txt (Japanese) Characters (excluding spaces): 20 Words: 8 # (If MeCab is installed and working correctly) May be different if MeCab isn't used. ``` **Important Considerations:** * **Encoding:** Always ensure your text files are saved in UTF-8 encoding. This is the most common and widely compatible encoding. * **MeCab Accuracy:** The accuracy of word counting for Japanese depends heavily on the quality of the MeCab dictionary and the complexity of the text. * **Customization:** You can customize the code further to handle specific requirements, such as ignoring certain characters or using a different word segmentation method. * **Large Files:** For very large files, you might want to read the file line by line to avoid loading the entire file into memory at once. This comprehensive solution should meet your requirements for counting characters and words in both English and Japanese text files. Remember to install MeCab for the best results with Japanese. Let me know if you have any other questions.

MCP OpenMetadata

提供 OpenMetadata API 的 MCP 服务器

Backstage MCP

一个使用 quarkus-backstage 的简单后台 MCP 服务器。

mcp-captcha-solver

Provides browser automation and reCAPTCHA v2 solving tools for AI agents, integrating Selenium and 2Captcha.

semamerge

MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis. Catches incompatible changes that Git merges cleanly — signature changes, removed exports, parameter changes, interface breaks, and cross-file dependency conflicts.

Shortcut MCP Server

一个模型上下文协议服务器，可以与 Shortcut (前身为 Clubhouse) 项目管理工具进行交互，允许用户查看和搜索项目、故事、史诗和目标，以及通过自然语言创建新项目。

deepseek-mcp

Enables using DeepSeek models as a small, cheap supervised worker from any MCP-compatible client, providing fast flash and deep reasoning tools for bounded tasks.

MCP Weather Server

Provides real-time weather information for any location using FastMCP.

Tools MCP Server

An MCP server that provides utility tools for markdown processing, including ADF-to-markdown conversion, table formatting, and table of contents management.

Kerneldev MCP

An MCP server for intelligent Linux kernel configuration management and building. Enables AI assistants to generate, manage, and optimize kernel configurations and build kernels with comprehensive error detection.

Image MCP Server

An MCP server that provides AI image generation capabilities using OpenAI and Replicate APIs with support for customizable prompts and dimensions. It features specialized tools for generating square, landscape, and portrait images through simple natural language commands.

yamory MCP Server

Enables AI agents to query yamory vulnerability management for vulnerability detection, risk assessment, and remediation guidance.

Audit Bridge MCP

MCP server for orchestrating Windows system auditing tools, supporting system checks, configuration adjustments, and security operations via a standardized interface.

Weather MCP Server

一个模型上下文协议服务器，它为 AI 代理提供工具，以使用美国国家气象局 API 检索美国各地的天气警报和详细预报。

Jira MCP Server

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

GeoFS MCP Server

一个服务器，它允许人工智能模型通过标准化的接口来控制和与 GeoFS 浏览器飞行模拟器中的飞机进行交互。

outlook-mcp

MCP server that provides 62 tools to manage Outlook mail, calendar, contacts, and tasks for personal Microsoft accounts via Microsoft Graph API.

ChatSum

Okay, I can help with that. To summarize WeChat messages, I need you to provide me with the text of the messages. Please paste the WeChat conversation here, and I will do my best to provide a concise and accurate summary in Chinese. For example, you can paste something like this: **Example Input:** ``` Person A: Hey, are you free for lunch tomorrow? Person B: Yeah, I think so. Where do you want to go? Person A: How about that new Italian place downtown? Person B: Sounds good! What time? Person A: Noon? Person B: Perfect! See you then. ``` Then I will provide a summary in Chinese. **The more context you give me, the better the summary will be.** For example, if you tell me the topic of the conversation beforehand, I can focus the summary on that. Looking forward to helping you!

PubMed Enhanced Search

支持从 PubMed 数据库搜索和检索学术论文，并提供高级功能，如 MeSH 术语查找、出版物统计和基于 PICO 的证据搜索。

MCP YouTube Server

一个用于下载、处理和管理 YouTube 内容的服务器，具有视频质量选择、格式转换和元数据提取等功能。

ESA MCP Server

通过模型上下文协议启用与 esa.io API 的交互，支持文章搜索和检索，并提供兼容的 MCP 接口。

twitterapi-mcp

A Model Context Protocol (MCP) server that provides access to Twitter data through the TwitterAPI.io service, enabling Claude and other MCP clients to interact with Twitter's ecosystem without requiring Twitter developer account approval.