MCP Server Space

# 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
- MCP Server Directory & Registry (categories, detail pages, installation guides)
- Comprehensive MCP server listings with detailed documentation and configuration examples
- Community-driven reviews and ratings for MCP servers
- Advanced search and filtering capabilities for finding the right MCP servers
- Developer tools and resources for building and publishing MCP servers


## Main Pages
- [Home](https://mcpserver.space/): Premier MCP Server Directory & Registry
- [Servers](https://mcpserver.space/servers/latest/): Discover MCP server collection
- [Clients](https://mcpserver.space/clients/latest/): Discover MCP client collection
- [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: Figma MCP Server Best Practices: From Local Dev to Team Collaboration](https://mcpserver.space/blog/figma-mcp-best-practices/)
- [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: Building Your Own MCP Server: A Complete Guide from Idea to Production](https://mcpserver.space/blog/building-your-own-mcp-server-complete-guide/)
- [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 introduced by Anthropic and open-sourced. It is a community-driven standard designed to foster an open ecosystem for AI model integration.
- Are MCP servers safe to use?
Listings include permissions, capabilities, and source links. We run basic checks, but we don’t guarantee security—always review code and sandbox servers.
- What are the advantages and use cases of MCP?
MCP securely extends AI capabilities by connecting to external data and tools. Common use cases: real-time Q&A, automated workflows, and enterprise knowledge integration.
- How do I install and configure MCP servers?
Add the server to your MCP-compatible client configuration (for example, a “mcpServers” section). Follow the server’s README for auth and environment variables.
- Can I develop my own MCP server?
Yes. SDKs are available in multiple languages (commonly TypeScript and Python). Start with examples and guidelines, then publish your server to the community.
- Which clients support MCP?
Popular clients include those by Anthropic and community projects. Check your client’s documentation for MCP support and configuration format.
- How do I submit my MCP server to the directory?
Submit your server with a repo link, brief capabilities, and permission notes. We’ll review basic details before publishing.

## 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.