发现优秀的 MCP 服务器

Enhanced Sequential Thinking MCP Server

Enables structured problem-solving through sequential thinking stages with persistent storage and analysis. Helps break down complex problems into manageable cognitive steps while tracking progress and generating summaries of the entire thought process.

mcp-server-google-cloud-logging

好的，以下是一些关于如何使用 gcloud 从 Logging 获取日志的说明： **基本命令：** 最基本的命令是 `gcloud logging read`。 它会从 Logging 中读取日志条目并将其打印到您的终端。 ```bash gcloud logging read ``` 这会显示最近的日志条目。 **常用选项：** * **`--limit`**: 限制返回的日志条目数量。 例如，只显示最近的 10 个条目： ```bash gcloud logging read --limit 10 ``` * **`--format`**: 控制输出格式。 常用的格式包括 `text` (默认), `json`, 和 `yaml`。 `json` 格式对于进一步处理日志数据非常有用。 ```bash gcloud logging read --limit 10 --format json ``` * **`--freshness`**: 指定日志条目的时间范围。 例如，只显示过去 5 分钟的日志： ```bash gcloud logging read --freshness 5m ``` 可以使用 `s` (秒), `m` (分钟), `h` (小时), `d` (天) 作为单位。 * **`--project`**: 指定要查询的 Google Cloud 项目。 如果未指定，则使用当前活跃的项目。 ```bash gcloud logging read --project your-project-id ``` * **`--order`**: 指定日志条目的排序方式。 可以是 `asc` (升序，最早的日志在前) 或 `desc` (降序，最新的日志在前，默认值)。 ```bash gcloud logging read --order asc ``` **使用过滤器：** `gcloud logging read` 最强大的功能是使用过滤器来精确地选择您需要的日志条目。 过滤器使用 Logging 查询语言。 * **基本过滤：** * 按日志名称过滤： ```bash gcloud logging read "logName:projects/your-project-id/logs/your-log-name" ``` 将 `your-project-id` 替换为您的项目 ID，将 `your-log-name` 替换为日志的名称 (例如，`stdout`, `stderr`, 或自定义日志名称)。 * 按严重程度过滤： ```bash gcloud logging read "severity>=ERROR" ``` 这将显示所有严重程度为 `ERROR` 或更高的日志条目 (例如，`ERROR`, `CRITICAL`, `ALERT`, `EMERGENCY`)。 * 按文本内容过滤： ```bash gcloud logging read "textPayload:\"error message\"" ``` 这将显示所有包含 "error message" 的日志条目。 注意需要使用双引号转义。 * **更复杂的过滤：** * 组合多个条件： ```bash gcloud logging read "logName:projects/your-project-id/logs/your-log-name AND severity>=WARNING" ``` * 过滤特定资源： ```bash gcloud logging read "resource.type=gce_instance AND resource.labels.instance_id=your-instance-id" ``` 将 `your-instance-id` 替换为您的 GCE 实例 ID。 * 过滤 JSON 有效负载中的字段： ```bash gcloud logging read "jsonPayload.status = \"error\"" ``` 假设您的日志条目有一个 JSON 有效负载，其中包含一个名为 `status` 的字段。 **示例：** 1. 获取过去 1 小时内来自特定日志的错误日志，并以 JSON 格式输出： ```bash gcloud logging read --freshness 1h --format json "logName:projects/your-project-id/logs/your-log-name AND severity>=ERROR" ``` 2. 获取特定 GCE 实例的日志，并将其保存到文件中： ```bash gcloud logging read "resource.type=gce_instance AND resource.labels.instance_id=your-instance-id" > instance_logs.txt ``` **重要提示：** * **权限：** 确保您拥有访问 Logging 数据的适当权限。 您可能需要 `roles/logging.viewer` 或更高级别的角色。 * **查询语言：** 熟悉 Logging 查询语言对于编写有效的过滤器至关重要。 请参阅 Google Cloud 文档以获取完整的语法和功能：[https://cloud.google.com/logging/docs/view/advanced-queries](https://cloud.google.com/logging/docs/view/advanced-queries) * **性能：** 复杂的过滤器可能会影响查询性能。 尽量保持过滤器简洁高效。 希望这些信息对您有所帮助！ 如果您有任何其他问题，请随时提出。

Portainer MCP

Portainer MCP 服务器 (Portainer MCP fúwùqì)

Stability AI MCP Server

镜子 (jìng zi)

UniAuto MCP Server

具有自修复功能的通用测试自动化 MCP 服务器，并集成了 Smithery.ai。

EDT Unicaen MCP Server

Enables querying University of Caen (Unicaen) schedule data to find next classes for professors, students, or rooms and check room availability. Integrates with ADE scheduling system to provide real-time schedule information through natural language queries.

GitHub DeepWiki MCP Server

This MCP server provides detailed GitHub repository information by integrating with mcp.deepwiki.com and GitHub API to fetch repository wiki content, README files, and enable intelligent question-answering about repositories.

bnbchain-mcp

bnbchain-mcp

mcp-angular-cli

mcp-angular-cli

MongoDB MCP Server by CData

MongoDB MCP Server by CData

Comfy MCP Server

镜子 (jìng zi)

Grafana MCP server

Grafana 的 MCP 服务器 (Grafana de MCP fúwùqì)

freedcamp

freedcamp

Snippets MCP

Enables storing, searching, and managing code snippets using hybrid semantic search and keyword matching with automatic language detection and tag-based organization.

Voxta MCP Bridge Provider

能够与模型上下文协议 (MCP) 服务器通信的 Voxta 提供程序

Tugboat MCP Server

一个用于与 Tugboat API 交互的模型上下文协议 (MCP) 服务器。

Chainlink MCP Server

Enables interaction with Chainlink's decentralized oracle network, providing access to real-time price feeds, serverless functions, smart contract automation, verifiable randomness, cross-chain messaging, and proof of reserve across multiple blockchain networks.

Teamwork MCP

连接到 Teamwork API 的 MCP 服务器

Capture Win MCP

Enables AI assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

PocketMCP

A lightweight, local-first MCP server that automatically watches folders, chunks and embeds files using Transformers.js, and exposes semantic search capabilities to VS Code and Cursor. Runs completely offline with SQLite vector storage, designed for resource-constrained environments.

microsandbox

microsandbox

Discourse MCP

Enables AI agents to interact with Discourse forums through search, reading topics/posts, browsing categories and tags, and creating posts. Supports both read-only public access and authenticated operations with configurable write permissions.

Remote MCP Server (Authless)

A deployable Model Context Protocol server on Cloudflare Workers that enables custom AI tools without requiring authentication, compatible with Cloudflare AI Playground and Claude Desktop.

Goodreads MCP Server

A CLI tool that integrates with Claude Desktop to allow users to retrieve their Goodreads library data through MCP.

ClickUp MCP Server

Securely connect AI assistants to ClickUp workspaces through OAuth 2.0, providing 72 tools across 12 categories for comprehensive task management, time tracking, project planning, and workspace operations without managing API keys.

mcp

Okay, here's a translation of "Python implementation of an Elasticsearch MCP server" into Chinese, along with some considerations for different nuances: **Option 1 (Most Literal and Common):** * **Python 实现的 Elasticsearch MCP 服务器** * (Pinyin: Python shíxiàn de Elasticsearch MCP fúwùqì) This is the most direct and common translation. It's easily understood. **Option 2 (More Emphasis on "Implementation"):** * **用 Python 实现的 Elasticsearch MCP 服务器** * (Pinyin: Yòng Python shíxiàn de Elasticsearch MCP fúwùqì) This adds "用" (yòng), meaning "using" or "with." It emphasizes that Python is the *tool* used for the implementation. It's slightly more descriptive. **Option 3 (Slightly More Formal):** * **基于 Python 的 Elasticsearch MCP 服务器实现** * (Pinyin: Jīyú Python de Elasticsearch MCP fúwùqì shíxiàn) This translates to "Elasticsearch MCP server implementation based on Python." It's a bit more formal and might be used in technical documentation. **Option 4 (Focus on Building/Developing):** * **使用 Python 构建的 Elasticsearch MCP 服务器** * (Pinyin: Shǐyòng Python gòujiàn de Elasticsearch MCP fúwùqì) This translates to "Elasticsearch MCP server built using Python." It emphasizes the act of building or developing the server. **Which one to choose?** * For general communication and clarity, **Option 1 (Python 实现的 Elasticsearch MCP 服务器)** is usually the best choice. * If you want to emphasize that Python is the *tool* used, choose **Option 2 (用 Python 实现的 Elasticsearch MCP 服务器)**. * For more formal documentation, **Option 3 (基于 Python 的 Elasticsearch MCP 服务器实现)** might be appropriate. * If you want to emphasize the act of building the server, choose **Option 4 (使用 Python 构建的 Elasticsearch MCP 服务器)**. **Important Notes:** * **Elasticsearch:** This is a proper noun and is generally kept as "Elasticsearch" in Chinese technical contexts. While there are Chinese transliterations, they are not commonly used. * **MCP:** If "MCP" is a well-known acronym within the specific Chinese-speaking community you're targeting, you can leave it as is. If not, you might consider providing a brief explanation of what it stands for in parentheses after the first mention. However, without knowing what MCP stands for in this context, I can't provide a suitable translation. * **服务器 (fúwùqì):** This is the standard Chinese word for "server." Therefore, my recommendation is **Python 实现的 Elasticsearch MCP 服务器** unless you have a specific reason to choose one of the other options. If you can tell me what "MCP" stands for, I can refine the translation further.

MCP Kali Server

Okay, here's a translation of "MCP configuration to connect AI agent to a Linux machine" into Chinese, along with some options depending on the nuance you want to convey: **Option 1 (Most General):** * **中文:** 将 AI 代理连接到 Linux 机器的 MCP 配置 * **Pinyin:** Jiāng AI dàilǐ liánjiē dào Linux jīqì de MCP pèizhì * **Explanation:** This is a straightforward translation. "将...连接到..." means "to connect...to...". "配置" means "configuration". **Option 2 (More Technical, Emphasizing Setup):** * **中文:** 用于将 AI 代理连接到 Linux 机器的 MCP 设置 * **Pinyin:** Yòng yú jiāng AI dàilǐ liánjiē dào Linux jīqì de MCP shèzhì * **Explanation:** "设置" (shèzhì) can mean "setup" or "settings". This option emphasizes the process of setting up the MCP for the connection. "用于" (yòng yú) means "used for" or "for the purpose of". **Option 3 (Focusing on the MCP's Role):** * **中文:** 用于 AI 代理连接 Linux 机器的 MCP 配置 * **Pinyin:** Yòng yú AI dàilǐ liánjiē Linux jīqì de MCP pèizhì * **Explanation:** This is a more concise version, implying the MCP is *for* the AI agent's connection to the Linux machine. **Option 4 (If "MCP" is already understood in context as a platform or system):** * **中文:** 通过 MCP 连接 AI 代理到 Linux 机器的配置 * **Pinyin:** Tōngguò MCP liánjiē AI dàilǐ dào Linux jīqì de pèizhì * **Explanation:** This translates to "Configuration for connecting the AI agent to the Linux machine *through* MCP." It assumes the reader knows what MCP is. **Key Vocabulary:** * **AI 代理 (AI dàilǐ):** AI agent * **Linux 机器 (Linux jīqì):** Linux machine * **MCP 配置 (MCP pèizhì):** MCP configuration * **连接 (liánjiē):** to connect * **设置 (shèzhì):** setup, settings * **用于 (yòng yú):** used for, for the purpose of * **通过 (tōngguò):** through, via **Which option is best depends on the context.** If you're writing documentation for a technical audience already familiar with MCP, Option 4 might be suitable. If you're introducing the concept, Option 1 or 2 might be better. Option 3 is a good compromise.