Discover Awesome MCP Servers
Extend your agent with 16,059 capabilities via MCP servers.
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Nexus MCP Server
A production-ready Model Context Protocol server that brings AI-powered web search directly into development environments, providing intelligent search results with proper citations in Claude Desktop, Cursor, or any MCP-compatible client.
Laravel MCP (Model Context Protocol)
一个使用 Laravel 开发 MCP 服务器的软件包。
mcp-server
Microsoft MCP
Enables AI assistants to interact with Microsoft Graph API services including Outlook email, Calendar events, OneDrive files, and Contacts. Supports multiple Microsoft accounts with unified search across all services.
Postscript MCP Server
ARC Config MCP Server
Enables natural language management of GitHub Actions Runner Controller (ARC) in Kubernetes clusters. Supports automated installation, scaling, monitoring, and troubleshooting of GitHub Actions runners through conversational AI commands.
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。
Telnyx MCP Server
Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.
Garmin MCP Server
Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.
Teams MCP
A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.
GitHub MCP Server
GitHub 官方 MCP 服务器
Infomate MCP
Fetches and provides curated tech news, trending topics, hot GitHub projects, and industry updates from infomate.club/vas3k. Enables users to stay updated with the latest developments in technology and programming through natural language queries.
Kroger MCP Server
A FastMCP server that provides AI assistants like Claude with seamless access to Kroger's grocery shopping functionality through the Model Context Protocol, enabling store finding, product searching, and cart management.
mcp-server-example
LINE Bot MCP Server
Enables AI agents to send messages, manage rich menus, and interact with users through LINE Official Accounts via the LINE Messaging API. Supports both individual messaging and broadcasting to all followers with text and customizable flex messages.
Doppler MCP Server
Enables secure secrets management through the Doppler CLI via natural language interactions. Supports managing secrets, projects, configs, and environments across different Doppler workspaces.
YouTube MCP
A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.
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.
Netlify Express MCP Server
A basic example MCP server deployed as a Netlify serverless function using Express. Demonstrates how to run Model Context Protocol servers in a serverless environment with proper routing configuration.
Microsoft Copilot Studio ❤️ MCP
A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.
MCP-Context-Provider
A static MCP server that helps AI models maintain tool context across chat sessions, preventing loss of important information and keeping conversations smooth and uninterrupted.
OpenTelemetry Documentation MCP Server
Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.
remote-mcp-server
Memento
A local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.
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.
bnbchain-mcp
bnbchain-mcp
MongoDB MCP Server by CData
MongoDB MCP Server by CData
aster-info-mcp
An MCP server that provides structured access to Aster DEX market data—covering candlesticks, order books, trades, and funding rates.
Playwright Fetch MCP Server
Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.
openai-agents-chat-demo
OpenAI 代理聊天演示。集成自定义 LLM 和 MCP 服务器以及函数工具。 (Or, more literally: OpenAI 代理聊天演示。整合自定义 LLM 和 MCP 服务器以及函数工具。)