Discover Awesome MCP Servers

gnosis-mcp

Zero-config knowledge base for AI coding agents. Loads your markdown docs into a searchable database and exposes them as MCP tools — search, read, and manage documentation without leaving your editor. Works instantly with SQLite (no setup), upgrades to PostgreSQL + pgvector for hybrid semantic search. 6 MCP tools, 3 resources, FTS5 keyword search, 176 tests.

Simple MCP Server

A Python Flask-based Model Context Protocol server that provides basic tools including hello_world, calculate, and get_time functions through stable HTTP endpoints.

gcal-mcp

An MCP server for managing Google Calendar and Tasks with energy-aware scheduling and priority-based task management. It enables natural language interactions for creating flight or lodging events, managing reading queues, and optimizing daily schedules.

Master MCP Server

Aggregates multiple MCP servers behind a single, secure endpoint with unified tool/resource discovery, OAuth authentication, and resilient request routing. Enables users to manage and interact with multiple MCP backends through one centralized interface with load balancing and circuit breakers.

MCP Podcast Scraper

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

MCP Google Server

A Model Context Protocol server providing web search capabilities using Google Custom Search API and webpage content extraction functionality.

EdgeOne Geo MCP Server

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

mcp-romm

10 tool MCP server for RomM. Adds searching, metadata, tracking, saves and management via MCP.

Street View Publish API MCP Server

Enables interaction with Google's Street View Publish API for publishing and managing 360 photos on Google Street View through natural language commands.

Gemini MCP Server

A Model Context Protocol server that gives Claude access to Google's Gemini 2.5 Pro for extended thinking, code analysis, and problem-solving with a massive context window.

Soulseek MCP Server

Enables Claude to search and download music files from the Soulseek peer-to-peer network using a Soulseek account.

fzf MCP Server

Enables fuzzy file searching, list filtering, and content searching using fzf's blazing-fast fuzzy matching algorithm. Self-contained with automatic fzf binary installation and cross-platform support.

Laravel MCP (Model Context Protocol)

一个使用 Laravel 开发 MCP 服务器的软件包。

IMAP Mini MCP

A lightweight MCP server for interacting with IMAP email accounts to read messages, manage folders, and compose draft replies. It supports standard providers and local bridges, providing tools for searching, fetching attachments, and organizing mailboxes without the ability to send or delete emails.

Lemon Squeezy Server

Integrates with Lemon Squeezy to manage subscriptions, checkouts, products, orders, customers, license keys, and webhooks programmatically with audit logging capabilities.

Simple Weather MCP

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

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.

Salesforce MCP Server

Enables natural language interactions with Salesforce data and metadata, allowing users to query records, manage custom objects, and manipulate Apex code. It provides comprehensive tools for schema exploration, aggregate queries, and field-level security management.

DUAL MCP Server

Enables AI agents to interact directly with the DUAL Web3 Operating System for minting tokens, managing templates, and executing blockchain actions. It provides over 60 tools for handling wallets, organizations, and ZK-rollup infrastructure natively via the Model Context Protocol.

MCP Node-Notifier Server

A Model Context Protocol server that provides system notification capabilities across various platforms (macOS, Windows, Linux) using node-notifier.

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.

README Insight MCP

Provides tools to summarize README files from local paths or public Git repositories into structured JSON summaries. It enables users to quickly extract key facts and project overviews from documentation through automated tool calls.

Vibe Blocks MCP

Connects Roblox Studio to AI coding editors via the Model Context Protocol, allowing AI agents to understand and interact with live Roblox Studio sessions through scene manipulation, scripting, and optional Roblox Open Cloud API integration.

SkySQL MCP Server

SkySQL MCP 服务器和客户端代码仓库。

mcp-infoblox

An MCP server that provides AI assistants with full access to Infoblox NIOS for managing DNS records, DHCP reservations, and IPAM through the WAPI REST API. It supports 35 tools for network discovery, record lifecycle management, and grid infrastructure status.

mcpwall

mcpwall is a deterministic security proxy for MCP tool calls — iptables for MCP. It sits between the MCP client and server, intercepting every JSON-RPC request and enforcing YAML-defined policies.

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。