Discover Awesome MCP Servers

Confluence API Docs MCP Server

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

trading212-mcp-server

MCP server for the Trading 212 API. Provides 28 tools for portfolio management, trading, pies, dividends, market data, and analytics.

bawbel-mcp

Bawbel MCP Server lets any agent scan MCP servers and skill files for security vulnerabilities mid-conversation. Seven tools covering server-card scanning, conformance scoring, rug pull detection, and AVE threat intelligence queries. Powered by the AVE standard with OWASP MCP Top 10 mapping on every finding. Free, Apache 2.0, no API key required.

mcp-pr-reviewer

Analyzes GitHub Pull Requests using AI via MCP, providing detailed feedback and approve/reject decisions.

mcp-ytmusic

Enables users to search the YouTube Music catalog and manage playlists using natural language. It provides tools for searching songs, albums, and artists, as well as performing playlist operations like creating, adding, and deleting tracks.

proxmox-mcp

A Python MCP server for Proxmox VE that lets AI agents read cluster status, power guests on/off, and provision new VMs/containers through natural language, while preventing any destructive actions.

altium-mcp

Use Claude to control or ask questions about your Altium project.

Frontier Intelligence

A personal monitoring and trend synthesis system that collects signals from multiple sources, processes them through LangChain/GigaChat, stores them in vector and knowledge graphs, and delivers insights via MCP to Codex/Claude projects with workspace isolation.

Device MCP Server

A comprehensive MCP server for network device management via SSH/Telnet. Supports multiple vendors such as Cisco IOS and BDCOM, enabling AI assistants to execute commands and manage routers, switches, and firewalls.

Chat Human MCP Server

Enables AI agents to send messages to human users via chat platforms (currently Discord) and optionally wait for human responses, facilitating human-in-the-loop interactions.

blender-mcp-enhanced

Connects Blender to Claude AI through the Model Context Protocol for AI-assisted 3D modeling, procedural geometry creation, and persistent multi-turn workflows with shared context and advanced tool chaining.

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.

business-central-mcp

Give AI assistants direct access to Microsoft Dynamics 365 Business Central via native WebSocket protocol.

video-editor

An MCP server that enables natural language video editing using FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking.

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。

limelink-mcp-server

MCP server for LimeLink dynamic link management, enabling creation, lookup, and management of dynamic links with documentation resources and prompt templates.

ENSP-MCP AI

Enables AI clients to manage Huawei eNSP simulated network devices, execute CLI commands, apply configurations, and perform network diagnostics through natural language, with topology upload and visualization via a web UI.

who_reps-mcp

Given a U.S. street address, returns the people who represent it (U.S. Senators, House member, Governor, and state legislators) using free public data, with no API keys required for federal officials.

claude-bridge

Shared MCP server enabling two Claude Code instances to collaborate over the internet by sharing messages, memory, tasks, and files through a common URL and room key.

sbl-debugger

Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.

News Digest

Fetches news from Telegram and RSS sources and serves them to LLM agents via MCP.

IBKR TWS MCP Server

Enables LLM clients to interact with Interactive Brokers Trader Workstation for automated trading workflows. Supports market data retrieval, portfolio management, and order execution through the TWS API.

sombra-mcp

A stdio-to-HTTP bridge for connecting to Sombra's remote MCP server, enabling AI agents to save, search, and organize web content.

Search MCP Server

A Model Context Protocol (MCP) server for integrating Google Search capabilities into AI applications.

eolink-mcp

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

FAL Reve MCP Server

Enables high-quality text-to-image generation and image editing using FAL AI's Reve model. Supports batch processing, multiple aspect ratios and formats, with automatic local image downloads and both real-time and async processing modes.

Elasticsearch MCP Server

MCP server that provides tools and resources to interact with Elasticsearch clusters, including listing indices, searching, and retrieving mappings.

Figma AI Bridge

Enables AI assistants to control Figma in real-time through Model Context Protocol, allowing design creation, editing, and reading operations directly from VS Code.

OpenSCAD MCP Server

An intelligent assistant for 3D modeling with OpenSCAD and 3D printing workflow, including a Gradio app to test different LLMs.

Metabase MCP Server

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.