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Scrapbox MCP Server

一个简单的基于 TypeScript 的 MCP 服务器，它实现了一个笔记系统，允许用户创建、列出和通过 Claude 生成文本笔记的摘要。

Local

JavaScript

Decent-Sampler Drums MCP Server

促进 DecentSampler 鼓组配置的创建，支持 WAV 文件分析和 XML 生成，以确保准确的采样长度和结构良好的预设。

Local

TypeScript

zendesk-mcp-server

这个服务器提供与 Zendesk 的全面集成，可以检索和管理工单及评论，进行工单分析和起草回复，并能访问帮助中心文章作为知识库。

Local

Python

Chrome Tools MCP Server

一个 MCP 服务器，它提供通过 Chrome 开发者工具协议与 Chrome 交互的工具，从而能够远程控制 Chrome 标签页来执行 JavaScript、捕获屏幕截图、监控网络流量等等。

Local

TypeScript

Cosense MCP Server

一个 MCP 服务器，允许 Claude 访问来自 Cosense 项目的页面，支持公共和私有项目，并可选择使用 SID 认证。

Local

JavaScript

Draw Things MCP

一个集成，允许 Cursor AI 通过 Draw Things API 使用自然语言提示生成图像。

Local

JavaScript

MCP Alchemy

将 Claude Desktop 直接连接到数据库，使其能够通过 API 层探索数据库结构、编写 SQL 查询、分析数据集以及创建报告，该 API 层提供表探索和查询执行工具。

Local

Python

MCP Source Tree Server

Okay, I understand. Here's how you can generate a JSON file tree from a specified directory's `src` folder, respecting `.gitignore` rules, suitable for quick project structure review in Claude. I'll provide a Python script to accomplish this. **Explanation:** 1. **`gitignore_parser` Library:** We'll use the `gitignore_parser` library to correctly interpret `.gitignore` files. This is crucial for accurately reflecting what files should be excluded. If you don't have it, you'll need to install it: `pip install gitignore_parser` 2. **`os.walk()`:** This function recursively traverses the directory tree. 3. **`.gitignore` Handling:** The script reads and parses `.gitignore` files in each directory it encounters. 4. **JSON Output:** The script constructs a JSON representation of the file tree. **Python Script:** ```python import os import json import gitignore_parser def generate_file_tree_json(root_dir, output_file="file_tree.json"): """ Generates a JSON file tree from the 'src' folder of a specified directory, respecting '.gitignore' rules. Args: root_dir (str): The root directory of the project. output_file (str): The name of the output JSON file. Defaults to "file_tree.json". """ src_dir = os.path.join(root_dir, "src") if not os.path.exists(src_dir): print(f"Error: 'src' directory not found in {root_dir}") return def build_tree(directory, ignore_checker): """Recursively builds the file tree.""" tree = {} for item in os.listdir(directory): full_path = os.path.join(directory, item) relative_path = os.path.relpath(full_path, src_dir) # Path relative to src if ignore_checker(relative_path): continue # Skip ignored files/directories if os.path.isfile(full_path): tree[item] = None # Represent files as None elif os.path.isdir(full_path): tree[item] = build_tree(full_path, ignore_checker) return tree def create_ignore_checker(root_directory): """Creates a function to check if a file/directory is ignored based on .gitignore files.""" ignore_files = [] for root, _, files in os.walk(root_directory): if '.gitignore' in files: ignore_files.append(os.path.join(root, '.gitignore')) ignore_list = [] for ignore_file in ignore_files: ignore_list.append(gitignore_parser.parse(ignore_file)) def is_ignored(path): for ignore in ignore_list: if ignore(os.path.join(src_dir, path)): # Check against the full path return True return False return is_ignored ignore_checker = create_ignore_checker(src_dir) file_tree = build_tree(src_dir, ignore_checker) with open(output_file, "w") as f: json.dump(file_tree, f, indent=4) print(f"File tree JSON saved to {output_file}") # Example Usage: if __name__ == "__main__": # Replace with the actual root directory of your project project_root = "/path/to/your/project" # <---- CHANGE THIS! generate_file_tree_json(project_root) ``` **How to Use:** 1. **Install `gitignore_parser`:** `pip install gitignore_parser` 2. **Replace Placeholder:** In the `if __name__ == "__main__":` block, replace `"/path/to/your/project"` with the actual absolute path to the root directory of your project (the directory containing the `src` folder). 3. **Run the Script:** Execute the Python script. It will create a file named `file_tree.json` in the same directory as the script. 4. **Upload to Claude:** Upload the `file_tree.json` file to Claude. **Example `file_tree.json` Output (Illustrative):** ```json { "components": { "Button.js": null, "Input.js": null }, "utils": { "api.js": null, "helpers.js": null }, "App.js": null, "index.js": null } ``` **Key Improvements and Considerations:** * **`.gitignore` Parsing:** Uses `gitignore_parser` for accurate `.gitignore` handling. This is *essential* for real-world projects. * **Error Handling:** Includes a check to ensure the `src` directory exists. * **Relative Paths:** Uses `os.path.relpath` to store paths relative to the `src` directory in the JSON, making the output more concise and readable. * **Clearer Structure:** Represents files as `null` in the JSON tree, which is a common and easily understood convention. * **Example Usage:** Provides a clear example of how to use the script. * **Comments:** Includes comments to explain the code. * **`create_ignore_checker` Function:** This function encapsulates the logic for creating the ignore checker, making the code more modular and readable. It finds all `.gitignore` files within the `src` directory and its subdirectories. * **Full Path Checking:** The `is_ignored` function now checks the full path (relative to the `src` directory) against the `.gitignore` rules, ensuring accurate matching. * **Modularity:** The code is broken down into functions for better organization and reusability. **How to Use with Claude:** 1. **Upload the JSON:** Upload the generated `file_tree.json` file to Claude. 2. **Prompt Claude:** Craft a prompt that asks Claude to analyze the file structure. For example: * "Here is a JSON representation of the file structure of a project's `src` directory. Can you identify the main components and utilities?" * "Analyze this file structure and suggest potential areas for refactoring." * "Based on this file structure, what design patterns might be in use?" * "This JSON represents the file tree of a React project. Identify the likely component structure." The more specific your prompt, the better the results you'll get from Claude. You can also ask Claude to generate diagrams or visualizations based on the JSON data.

Local

Python