# MCP Server Space

> Your premier MCP Server directory for discovering, installing, and managing Model Context Protocol servers. We provide curated lists, community reviews, and comprehensive guides to seamlessly integrate powerful AI tools and services into your workflow.

This file provides structured information about the MCP Server Space website to help Large Language Models (LLMs) understand its content

## Core Features
- DXT & MCP Navigation Center (categories, detail pages)
- Explore the MCP DXT (Desktop Extensions) Directory for discovering top-quality Desktop Extensions (DXT) and Model Context Protocol (MCP) Services. Our site features curated listings and in-depth guides for resources built on the Model Context Protocol (MCP), helping developers and users integrate new AI capabilities with ease.
- DXT Hosting & Statistics
- Search & Filtering


## Main Pages
- [Home](https://mcpserver.space/): Best MCP DXT Directory & MCP Service List
- [Servers](https://mcpserver.space/servers/latest/): Discover MCP/DXT service list
- [Category](https://mcpserver.space/category/): Browse by category
- [Category: AI Model](https://mcpserver.space/category/ai-model/)
- [Category: AI Agents](https://mcpserver.space/category/ai-agents/)
- [Category: Text & Code Generation](https://mcpserver.space/category/text-code-generation/)
- [Category: Image & Design Generation](https://mcpserver.space/category/image-design-generation/)
- [Category: Audio & Video Generation](https://mcpserver.space/category/audio-video-generation/)
- [Category: Search](https://mcpserver.space/category/search/)
- [Category: Data & Analytics](https://mcpserver.space/category/data-analytics/)
- [Category: Web Scraping](https://mcpserver.space/category/web-scraping/)
- [Category: Knowledge & Memory](https://mcpserver.space/category/knowledge-memory/)
- [Category: Development Tools](https://mcpserver.space/category/developer-tools/)
- [Category: Monitoring & Observability](https://mcpserver.space/category/monitoring-observability/)
- [Category: Databases](https://mcpserver.space/category/databases/)
- [Category: Cloud Platforms](https://mcpserver.space/category/cloud-platforms/)
- [Category: Security](https://mcpserver.space/category/security/)
- [Category: Workflow & Automation](https://mcpserver.space/category/workflow-automation/)
- [Category: Industry Solutions](https://mcpserver.space/category/industry-solutions/)
- [Category: Social Media](https://mcpserver.space/category/social-media/)
- [Category: Life Services](https://mcpserver.space/category/life-services/)
- [Category: Finance & Payments](https://mcpserver.space/category/finance-payments/)
- [Category: Language & Translation](https://mcpserver.space/category/language-translation/)
- [Category: Research](https://mcpserver.space/category/research/)
- [Category: Other](https://mcpserver.space/category/other/)
- [Blog](https://mcpserver.space/blog/): News, updates, and articles
- [Blog: Building Your Own MCP Server: A Complete Guide from Idea to Production](https://mcpserver.space/blog/building-your-own-mcp-server-complete-guide/)
- [Blog: How to Install and Configure Your First MCP Server in 10 Minutes](https://mcpserver.space/blog/how-to-install-your-first-mcp-server/)
- [Blog: Top 10 MCP Servers Every Developer Should Know About in 2025](https://mcpserver.space/blog/top-mcp-servers-every-developer-should-know/)
- [Blog: What is MCP and Why It Matters for AI Development](https://mcpserver.space/blog/what-is-mcp-and-why-it-matters/)
- [Privacy Policy](https://mcpserver.space/privacy/)
- [Terms of Service](https://mcpserver.space/terms/)

## FAQ
- What is MCP (Model Context Protocol)?
The Model Context Protocol (MCP) is an open standard that enables AI models like Claude to securely connect with external data sources, tools, and services. MCP servers expose capabilities that AI assistants can use to enhance their functionality.
- Who developed the Model Context Protocol?
The Model Context Protocol (MCP) was initiated and open-sourced by the team at OpenApp. It is designed as a community-driven standard to foster an open ecosystem for AI model integration.
- Are MCP servers safe to use?
All servers in our directory are reviewed for security and functionality. MCP servers run in isolated environments and follow security best practices. Always review server permissions and source code before installation.
- What are the advantages and use cases of MCP?
The core advantage of MCP is its secure and standardized way of extending the capabilities of AI models, enabling them to connect to real-time external data sources and tools. Use cases include: intelligent Q&A requiring real-time information, automated workflows that can operate external APIs, and enterprise applications that need to access private knowledge bases.
- How do I install and configure MCP servers?
Each MCP server has specific installation instructions. Most can be installed via package managers like npm, pip, or downloaded directly. Configuration typically involves adding the server details to your AI client's settings file.
- Can I develop my own MCP server?
Yes! MCP is an open standard with SDKs available in multiple languages. Check our developer guides, documentation, and examples to start building your own MCP server.

## Meta
- Data sources: Aggregated from GitHub, blogs, forums, and user submissions
- Content review: Manual and automated checks for accuracy and safety

## Optional
- [Terms of Service](https://mcpserver.space/terms/): Read our terms of service.
- [Privacy Policy](https://mcpserver.space/privacy/): Read our privacy policy.