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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

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Enables read-only interaction with NetBox network documentation and infrastructure data through LLMs. Allows querying devices, sites, IP addresses, and viewing change history via natural language.

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Enables comprehensive interaction with NetBox infrastructure management through both read and write operations. Supports full CRUD operations for devices, IP addresses, sites, racks, and other NetBox objects through natural language commands.

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A basic example MCP server demonstrating serverless deployment using Netlify Functions with Express. Shows how to deploy and run MCP servers in a serverless environment with proper routing configuration.

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A comprehensive network management platform for tracking devices, sites, and topologies across platforms like ZeroTier and UniFi. It enables automated device discovery, multi-hop access path visualization, and infrastructure troubleshooting through the Model Context Protocol.

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Enables management of Netskope Network Private Access (NPA) infrastructure through natural language commands. Supports Zero Trust Network Access operations including publisher management, private application configuration, policy controls, and system monitoring.

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Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.

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Agentic cloud platform with 45+ MCP tools. Deploy any containerized stack, debug live pods (shell, file editing, DB queries), manage custom domains & TLS, push to built-in container registry, scale pods, and manage GPU workloads. The infrastructure layer where AI agents ship software to production.

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全面解析Nextcloud MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Nextcloud MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

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A fully local, open-source MCP server that replaces Azure AI Foundry, enabling model management, inference, evaluation, and RAG using Ollama without any cloud dependencies.

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Enables direct integration with NocoDB databases from Cursor IDE, providing complete CRUD operations, search capabilities, and specialized tools for Discord workflow automation. Features production-ready deployment with Docker support and comprehensive monitoring.

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MCP server that manages npm run dev processes, automatically detecting projects, running them in the background, monitoring logs, and managing ports.

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Enables interaction with Nullplatform's API endpoints for managing deployments, scopes, services, and other cloud resources through natural language using the official OpenAPI specification.

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A template repository for bootstrapping Model Context Protocol (MCP) servers with Cloudflare Workers integration, supporting WebSocket and SSE connections with tools, resources, and prompts.

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Enables AI assistants to manage Nutanix infrastructure via Prism Central and Prism Element APIs, including VM operations, cluster management, networking, and as-built report generation.

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Provides comprehensive monitoring and observability for MCP server ecosystems with real-time health checks, performance metrics, distributed tracing, anomaly detection, and automated performance reports using OpenTelemetry and Prometheus.

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Enables LLMs like Claude to interact directly with Oracle Cloud Infrastructure resources, supporting dynamic profile switching between tenancies and comprehensive management of compute instances, database systems, and OCI resources through natural language.

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Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.

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Maple is a unified MCP server for agent observability, safety control, and behavior evolution, acting as a monitoring and auditing layer for high-agency agents. It enables developers to capture session timelines, replay risky branches, detect anomalies using ML, and enforce action guardrails.