Top 100 MCP Servers You Can Connect to Now: The Ultimate Guide

Introduction: Unlocking AI's Full Potential with MCP

The Model Context Protocol (MCP) is revolutionizing how AI assistants interact with external tools, data sources, and services. By establishing a standardized communication framework, MCP enables large language models to securely access everything from databases and file systems to web browsers and cloud services. This technological breakthrough transforms AI assistants from simple text generators into powerful agents that can execute real-world tasks with precision and security.

As the MCP ecosystem rapidly expands, developers and organizations are releasing an impressive array of specialized servers that extend AI capabilities in countless ways. This comprehensive guide explores the top 100 MCP servers available today, organized by category, with direct GitHub links to help you implement these powerful tools immediately. You can check out 1000+ MCP Servers at HiMCP (opens in a new tab):

https://himcp.ai (opens in a new tab)

What Makes MCP Servers Revolutionary?

MCP servers act as bridges between AI models and external systems, providing standardized interfaces for accessing data and executing operations. Unlike traditional APIs that require custom integration for each service, MCP offers a universal protocol that AI models can discover and utilize dynamically. This allows language models to:

• Access real-time data beyond their training cutoff
• Execute operations in external systems through natural language requests
• Maintain context across complex multi-step workflows
• Interact securely with sensitive systems through controlled permissions

Whether you're using Claude Desktop, Cursor, VS Code, or other MCP-compatible clients, these servers can dramatically enhance your AI workflows. Let's explore the extensive MCP ecosystem.

Data Access and Storage Solutions

Databases That Speak MCP

Database MCP servers provide secure, structured data access with powerful query capabilities:

1. PostgreSQL Integration - Full database access with schema inspection and query execution GitHub: modelcontextprotocol/server-postgres (opens in a new tab)

2. SQLite Operations - Lightweight database integration with built-in analysis tools GitHub: modelcontextprotocol/server-sqlite (opens in a new tab)

3. MongoDB Lens - Comprehensive MongoDB database operations GitHub: furey/mongodb-lens (opens in a new tab)

4. Neo4j Graph Database - Graph database with knowledge graph capabilities GitHub: neo4j-contrib/mcp-neo4j (opens in a new tab)

5. Neon Serverless Postgres - Cloud-optimized PostgreSQL management GitHub: neondatabase/mcp-server-neon (opens in a new tab)

6. ClickHouse Analytics - High-performance columnar database integration GitHub: ClickHouse/mcp-clickhouse (opens in a new tab)

7. Vector Search with Qdrant - Vector database for semantic search applications GitHub: qdrant/mcp-server-qdrant (opens in a new tab)

8. Universal Database Hub - Connect to multiple database types through a single interface GitHub: bytebase/dbhub (opens in a new tab)

9. Milvus Vector Database - Specialized vector database for AI embeddings GitHub: zilliztech/mcp-server-milvus (opens in a new tab)

10. Supabase Integration - PostgreSQL-based platform with additional features GitHub: alexanderzuev/supabase-mcp-server (opens in a new tab)

File Systems and Storage

These servers provide secure, managed access to local and cloud-based file systems:

11. Local Filesystem Access - Direct file system operations with security controls GitHub: modelcontextprotocol/server-filesystem (opens in a new tab)

12. Google Drive Integration - Cloud storage management and search GitHub: modelcontextprotocol/server-google-drive (opens in a new tab)

13. Box Enterprise Content - Enterprise content management integration GitHub: hmk/box-mcp-server (opens in a new tab)

14. Fast Windows File Search - Lightning-fast file search using Everything SDK GitHub: mamertofabian/mcp-everything-search (opens in a new tab)

15. Cloud Storage with OpenDAL - Access any storage service through Apache OpenDAL GitHub: Xuanwo/mcp-server-opendal (opens in a new tab)

Web and Browser Automation

Browser Control and Web Access

These servers enable AI to navigate and extract data from websites:

16. Puppeteer Browser Automation - Control headless browsers for web scraping and testing GitHub: modelcontextprotocol/server-puppeteer (opens in a new tab)

17. Playwright MCP Server - Microsoft's powerful browser automation framework GitHub: microsoft/playwright-mcp (opens in a new tab)

18. Browserbase Automation - Cloud-based browser interactions for data extraction GitHub: browserbase/mcp-server-browserbase (opens in a new tab)

19. Firefox Browser Control - Control Firefox through browser extensions GitHub: eyalzh/browser-control-mcp (opens in a new tab)

20. Web Content Fetching - Efficient web content retrieval and processing GitHub: modelcontextprotocol/server-fetch (opens in a new tab)

Search and Information Retrieval

These servers help AI find relevant information across the web:

21. Brave Search - Web search capabilities using Brave's Search API GitHub: modelcontextprotocol/server-brave-search (opens in a new tab)

22. Exa AI Search - AI-optimized search built for LLM integration GitHub: exa-labs/exa-mcp-server (opens in a new tab)

23. Google Search Alternative - Free web searching using Google search results GitHub: pskill9/web-search (opens in a new tab)

24. SearXNG Privacy-Focused Search - Self-hosted private web search GitHub: Ihor-Sokoliuk/MCP-SearXNG (opens in a new tab)

25. DuckDuckGo Search - Privacy-oriented web search integration GitHub: nickclyde/duckduckgo-mcp-server (opens in a new tab)

26. Kagi Search API - Professional search engine with premium features GitHub: ac3xx/mcp-servers-kagi (opens in a new tab)

Cloud and Infrastructure Management

Cloud Platform Integration

Connect AI to major cloud providers for resource management:

27. AWS Resources Operations - Manage AWS services and infrastructure GitHub: alexei-led/aws-mcp-server (opens in a new tab)

28. Kubernetes Cluster Management - Control Kubernetes clusters and workloads GitHub: rohitg00/kubectl-mcp-server (opens in a new tab)

29. Cloudflare Integration - Deploy and manage Cloudflare resources GitHub: cloudflare/mcp-server-cloudflare (opens in a new tab)

30. Azure CLI Integration - Direct interface to Azure cloud services GitHub: jdubois/azure-cli-mcp (opens in a new tab)

31. Multi-Cluster Kubernetes - Advanced multi-cluster management capabilities GitHub: weibaohui/k8m (opens in a new tab)

32. Docker Container Management - Control Docker containers and images GitHub: QuantGeekDev/docker-mcp (opens in a new tab)

Developer Tools and Productivity

Code and Terminal Integration

These servers enhance coding workflows and terminal operations:

33. Command Line Interface - Secure command execution and terminal control GitHub: MladenSU/cli-mcp-server (opens in a new tab)

34. iTerm2 Integration - Control and interact with the macOS terminal GitHub: ferrislucas/iterm-mcp (opens in a new tab)

35. Git Repository Operations - Git version control system integration GitHub: modelcontextprotocol/server-git (opens in a new tab)

36. GitHub API Integration - Repository management, PRs, issues, and more GitHub: modelcontextprotocol/server-github (opens in a new tab)

37. GitLab Integration - GitLab project management and CI/CD operations GitHub: modelcontextprotocol/server-gitlab (opens in a new tab)

38. VS Code Integration - JetBrains IDE connection for enhanced coding GitHub: jetbrains/mcpProxy (opens in a new tab)

39. Python Code Execution - Safe Python interpreter for code execution GitHub: pydantic/pydantic-ai/mcp-run-python (opens in a new tab)

40. Excel Manipulation - Comprehensive Excel operations and formatting GitHub: haris-musa/excel-mcp-server (opens in a new tab)

Project Management and Documentation

Servers for managing tasks, documents, and workflows:

41. Notion Integration - Connect to Notion workspaces and databases GitHub: suekou/mcp-notion-server (opens in a new tab)

42. Obsidian Notes - Access and search Markdown notes and knowledge bases GitHub: calclavia/mcp-obsidian (opens in a new tab)

43. Jira Integration - Project and issue tracking with Atlassian's Jira GitHub: KS-GEN-AI/jira-mcp-server (opens in a new tab)

44. Confluence Integration - Access Confluence documents and spaces GitHub: KS-GEN-AI/confluence-mcp-server (opens in a new tab)

45. Linear Project Management - Task and issue management with Linear GitHub: tacticlaunch/mcp-linear (opens in a new tab)

Communication and Messaging

Communication Platform Integration

Connect AI to messaging and communication systems:

46. Slack Workspace Integration - Channel management and messaging GitHub: modelcontextprotocol/server-slack (opens in a new tab)

47. iMessage Access - Query and analyze iMessage conversations GitHub: carterlasalle/mac_messages_mcp (opens in a new tab)

48. WhatsApp Integration - Search and send WhatsApp messages GitHub: lharries/whatsapp-mcp (opens in a new tab)

49. Telegram Access - Interact with Telegram messages and channels [GitHub mentioned in list but link not provided directly]

50. Gmail Integration - Email management and processing GitHub: elie222/inbox-zero (opens in a new tab)

Knowledge and Memory Systems

Persistent Memory and Knowledge

These servers enable AI to maintain context across sessions:

51. Knowledge Graph Memory - Persistent memory system across conversations GitHub: modelcontextprotocol/server-memory (opens in a new tab)

52. Enhanced Graph Memory - Role-play and storytelling focused memory GitHub: CheMiguel23/MemoryMesh (opens in a new tab)

53. RAG Documents - Vector search for documentation retrieval GitHub: hannesrudolph/mcp-ragdocs (opens in a new tab)

54. Zotero Integration - Access academic reference collections GitHub: kaliaboi/mcp-zotero (opens in a new tab)

Location and Maps Services

Geographic and Location Data

Access location-based information and services:

55. Google Maps Integration - Location services, routing, and place details GitHub: modelcontextprotocol/server-google-maps (opens in a new tab)

56. OpenStreetMap Access - Open-source mapping and location data GitHub: jagan-shanmugam/open-streetmap-mcp (opens in a new tab)

57. IP Geolocation - Location information from IP addresses GitHub: briandconnelly/mcp-server-ipinfo (opens in a new tab)

58. Weather Information - Current and forecast weather data GitHub: SaintDoresh/Weather-MCP-ClaudeDesktop (opens in a new tab)

59. Time Zone Utilities - Time conversion across time zones GitHub: SecretiveShell/MCP-timeserver (opens in a new tab)

Finance and Blockchain

Financial Data and Operations

Connect AI to financial systems and markets:

60. Stripe Integration - Payment processing and customer management GitHub: modelcontextprotocol/servers/tree/main/src/stripe (opens in a new tab)

61. Cryptocurrency Data - Market information for cryptocurrencies GitHub: narumiruna/yfinance-mcp (opens in a new tab)

62. Stock Market API - Financial market data and analytics GitHub: SaintDoresh/YFinance-Trader-MCP-ClaudeDesktop (opens in a new tab)

63. EVM Blockchain Integration - Comprehensive blockchain services GitHub: mcpdotdirect/evm-mcp-server (opens in a new tab)

64. Crypto Fear & Greed Index - Market sentiment tracking for crypto GitHub: kukapay/crypto-feargreed-mcp (opens in a new tab)

65. Bitcoin Protocol Interaction - Direct Bitcoin blockchain access GitHub: AbdelStark/bitcoin-mcp (opens in a new tab)

Monitoring and Analytics

System Monitoring and Error Tracking

Track application performance and errors:

66. Grafana Dashboard - Search and query Grafana metrics and dashboards GitHub: grafana/mcp-grafana (opens in a new tab)

67. Sentry Error Tracking - Monitor application errors and performance GitHub: modelcontextprotocol/server-sentry (opens in a new tab)

68. Raygun Integration - Crash reporting and real user monitoring GitHub: modelcontextprotocol/server-raygun (opens in a new tab)

69. Prometheus Monitoring - Open-source metrics and alerting system GitHub: pab1it0/prometheus-mcp-server (opens in a new tab)

70. System Monitoring - Real-time system metrics tracking GitHub: seekrays/mcp-monitor (opens in a new tab)

Smart Home and IoT

Home Automation and Control

Integrate AI with smart home systems:

71. Home Assistant Control - Manage smart home devices and automations GitHub: allenporter/mcp-server-home-assistant (opens in a new tab)

72. Apple Shortcuts - Trigger Apple Shortcuts automations GitHub: recursechat/mcp-server-apple-shortcuts (opens in a new tab)

73. Apple Reminders - Manage tasks with Apple's Reminders app GitHub: fradser/mcp-server-apple-reminders (opens in a new tab)

Security and Analysis

Security Tools and Integrations

Enhance security operations with AI:

74. Semgrep Integration - Code security scanning and vulnerability detection GitHub: semgrep/mcp-security-audit (opens in a new tab)

75. VirusTotal Integration - File and URL security scanning GitHub: BurtTheCoder/mcp-virustotal (opens in a new tab)

76. Shodan Security Scanning - Internet-connected device security analysis GitHub: BurtTheCoder/mcp-shodan (opens in a new tab)

77. IDA Pro Integration - Professional binary analysis tools GitHub: mrexodia/ida-pro-mcp (opens in a new tab)

78. Ghidra Integration - NSA reverse engineering framework GitHub: 13bm/GhidraMCP (opens in a new tab)

Art and Media

Content Creation and Management

Access and create visual and audio content:

79. Video Editing with DaVinci Resolve - Professional video editing tools GitHub: samuelgursky/davinci-resolve-mcp (opens in a new tab)

80. Image Generation via Replicate - AI image creation with Replicate GitHub: awkoy/replicate-flux-mcp (opens in a new tab)

81. VegaLite Visualizations - Data visualization generation GitHub: isaacwasserman/mcp-vegalite-server (opens in a new tab)

82. Animation with Manim - Mathematical animation generation GitHub: abhiemj/manim-mcp-server (opens in a new tab)

83. Mindmap Generation - Create interactive mindmaps from text GitHub: YuChenSSR/mindmap-mcp-server (opens in a new tab)

84. Spotify Control - Music playback and playlist management GitHub: marcelmarais/spotify-mcp-server (opens in a new tab)

85. Unsplash Image Search - High-quality free image access GitHub: hellokaton/unsplash-mcp-server (opens in a new tab)

Gaming and Interactive Media

Game Development and Integration

Connect AI to gaming platforms and engines:

86. Unity Game Engine - Game development with Unity GitHub: CoderGamester/mcp-unity (opens in a new tab)

87. Godot Game Engine - Open-source game development with Godot GitHub: Coding-Solo/godot-mcp (opens in a new tab)

88. VRChat Integration - Virtual reality social platform access GitHub: sawa-zen/vrchat-mcp (opens in a new tab)

Language Models and AI Integration

AI Platform Connections

Connect AI assistants to other AI services:

89. OpenAI API Integration - Access OpenAI models from Claude GitHub: pierrebrunelle/mcp-server-openai (opens in a new tab)

90. OpenAI Assistant Integration - Use OpenAI assistants as tools GitHub: andybrandt/mcp-simple-openai-assistant (opens in a new tab)

91. Perplexity Integration - Connect to Perplexity's search API GitHub: tanigami/mcp-server-perplexity (opens in a new tab)

92. HuggingFace Spaces - Use models from HuggingFace directly GitHub: llmindset/mcp-hfspace (opens in a new tab)

Multi-Tool Integrations

Aggregator and Workflow Platforms

Access multiple tools through unified interfaces:

93. Pipedream Integration - Connect with 2,500+ APIs and tools GitHub: PipedreamHQ/pipedream (opens in a new tab)

94. Make Platform Integration - Turn Make scenarios into AI tools GitHub: makehq/mcp-server (opens in a new tab)

95. Zapier Integration - Connect to thousands of apps through Zapier [GitHub mentioned in list but direct link not provided]

96. Multi-AI Advisor - Query multiple models for diverse perspectives GitHub: YuChenSSR/multi-ai-advisor (opens in a new tab)

Specialized Tools

Unique and Niche Functionality

Enhance AI with specialized capabilities:

97. Pandoc Document Conversion - Convert between document formats GitHub: vivekvells/mcp-pandoc (opens in a new tab)

98. Markdownify Content Conversion - Convert various formats to Markdown GitHub: zcaceres/markdownify-mcp (opens in a new tab)

99. Image Compression - Optimize and compress images locally GitHub: InhiblabCore/mcp-image-compression (opens in a new tab)

100. Rijksmuseum Art API - Access artwork from the Dutch national museum GitHub: r-huijts/rijksmuseum-mcp (opens in a new tab)

How to Connect to MCP Servers

Connecting to MCP servers is straightforward with MCP-compatible clients like Claude Desktop, Cursor, VS Code with Copilot, or other AI tools that implement the protocol.

Step-by-Step Integration with Claude Desktop

1. Install the MCP server of your choice using one of these methods:

   • Direct installation: npm install -g [server-package] or pip install [server-package]
   • Using Smithery: npx -y @smithery/cli install [server-name] --client claude
   • Manual installation from source repositories

2. Configure Claude Desktop by editing the configuration file:

   • macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%/Claude/claude_desktop_config.json

3. Add server configuration to the mcpServers section:

{
  "mcpServers": {
    "example-server": {
      "command": "npx",
      "args": ["-y", "example-mcp-server"],
      "env": {
        "API_KEY": "your-api-key",
        "CONFIG_OPTION": "value"
      }
    }
  }
}

4. Restart your client to load the new MCP server configuration

5. Verify connection by asking your AI assistant to use the newly connected tools

Connecting to Multiple Servers

You can connect to multiple MCP servers simultaneously by adding multiple entries to your configuration file:

{
  "mcpServers": {
    "database": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "DATABASE_URL": "postgresql://localhost/mydb"
      }
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"],
      "env": {}
    },
    "browser": {
      "command": "npx", 
      "args": ["-y", "@modelcontextprotocol/server-puppeteer"],
      "env": {}
    }
  }
}

Advanced MCP Integration Tips

Security Best Practices

When working with MCP servers, follow these security guidelines:

1. Use read-only modes when possible to prevent unintended modifications
2. Limit access scopes for servers that connect to sensitive systems
3. Regularly rotate API keys used in MCP server configurations
4. Configure allowlists for operations or resources when available
5. Never share configuration files containing API keys or credentials

Developing Custom MCP Servers

Want to create your own MCP server? Several frameworks can streamline development:

• FastMCP - High-level framework for Python
• LiteMCP - JavaScript/TypeScript framework
• MCP Framework - Elegant TypeScript framework
• Foxy Contexts - Golang library for declarative server creation

The Future of MCP Integration

As the Model Context Protocol ecosystem continues to grow, we can expect:

1. More specialized servers for niche applications and industries
2. Enhanced security features for enterprise-grade implementations
3. Standardized tooling for easier server development and maintenance
4. Integration platforms that unify access to multiple MCP servers
5. AI-native applications built specifically to leverage MCP capabilities

Conclusion: Transforming AI with Contextual Intelligence

The extensive collection of MCP servers available today represents a fundamental shift in how we interact with AI systems. By connecting language models to external tools and data sources through the Model Context Protocol, we transform them from isolated text generators into capable agents that can meaningfully interact with the digital world.

Whether you're enhancing development workflows, automating data analysis, managing cloud infrastructure, or building entirely new AI-powered applications, MCP servers provide the critical bridge between AI's reasoning capabilities and real-world systems.

As you explore the servers in this guide, consider how these integrations might enhance your specific use cases. The true power of MCP lies in combining multiple servers to create workflows that were previously impossible with traditional AI interfaces.

By implementing these MCP servers today, you're not just adopting a new technology—you're embracing an entirely new paradigm for AI interaction that will fundamentally change how we work with intelligent systems.