Discover Awesome MCP Servers
Extend your agent with 23,989 capabilities via MCP servers.
- All23,989
- Advanced AI Reasoning59
- AI Content Generation127
- AI Integration Systems229
- AI Memory Systems62
- Art & Culture4
- Browser Automation147
- Calendar Management26
- Cloud Platforms219
- Cloud Storage51
- Communication137
- Content Fetching108
- Customer Data Platforms16
- Customer Support10
- Data & App Analysis181
- Database Interaction177
- Databases145
- Developer Tools3,867
- Digital Note Management66
- Ecommerce & Retail18
- Education & Learning Tools13
- Entertainment & Media43
- File Systems96
- Finance91
- Games & Gamification8
- Git Management Tools58
- Google Cloud Integrations7
- Health & Wellness10
- Home Automation & IoT13
- Image & Video Processing69
- Knowledge & Memory90
- Language Translation3
- Legal & Compliance2
- Location Services35
- Marketing9
- Media Content Processing32
- Monitoring79
- Note Taking97
- OS Automation120
- Programming Docs Access109
- Remote Shell Execution165
- Research & Data1,557
- Search1,714
- Security71
- Speech Processing18
- Travel & Transportation14
- Version Control93
- Virtualization42
- Web Automation & Stealth32
- Web Search Integration12
Work Memory MCP Server
Manages persistent work memories and context across AI tools, enabling structured storage, search, and retrieval of work content, tasks, and knowledge with session-based project organization.
Octagon Deep Research MCP
Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
AI FileSystem MCP
Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.
JSON Logs MCP Server
JSON Logs MCP Server
Python MCP Server Template
A template repository for creating custom Model Context Protocol (MCP) servers in Python that can be integrated with applications like Claude Desktop or Cursor.
MCP Server for apple calendar
A simple mcp-server to add calendar events
Model Context Protocol (MCP) Tips and Best Practices
A collection of tips and best practices for working with Model Context Protocol (MCP) servers
MCP Prompt Template Selector
Provides AI-powered selection and generation of specialized system prompts from a database of over 66 templates for Claude Code. It uses semantic search to find the best matching template and can adapt it to fit specific user tasks and contexts.
OwlOCR MCP
A macOS-based MCP server that enables high-accuracy text extraction from PDF and image files using the OwlOCR app or Apple's Vision Framework. It supports multi-language OCR and provides asynchronous tools for processing documents directly within MCP clients.
SailPoint MCP Server
An MCP server that enables interaction with SailPoint IdentityNow and Identity Security Cloud for identity governance and access management. It provides comprehensive tools to manage identities, accounts, roles, workflows, and certifications through API integration.
EVE-NG MCP Server
A Model Context Protocol server that enables LLMs to manage network topologies, labs, nodes, and configurations in the EVE-NG network emulation platform through a standardized interface.
f2c-mcp-server
f2c-mcp-server
Docker MCP
Enables Docker container management directly through Claude using the Model Context Protocol. Provides 14 tools for managing containers, images, volumes, and Docker Compose deployments through natural language commands.
X (Twitter) MCP server
X (Twitter) MCP server
MCP Force
Enables AI agents to interact with Salesforce organizations through natural language by exposing Salesforce APIs (REST, Bulk v2, GraphQL, Tooling, Auth) as MCP tools for querying data, managing records, and executing SOQL queries.
SearchAPI MCP Server
Connects AI assistants to external data sources (Google, Bing, etc.) via SearchAPI.site, implementing the Model Context Protocol (MCP) for secure and contextual access to web information.
MCP-Server
Dust MCP Server
A TypeScript-based MCP server that enables advanced agent conversations and workspace management via the Dust platform. It provides tools for managing messaging sessions, retrieving agent configurations, and interacting with Dust assistants.
Vault Java MCP Server
PayPal-Java-MCP Server
Rust MCP Filesystem
Rust MCP Filesystem
Hetzner Cloud MCP Server
A Model Context Protocol server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.
mcp-server-flyder
MCP Server for Flyder
Cua Agent
Audio Analysis MCP Server
Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.
chuangsiai-mcp
Provides real-time content security for large language models by identifying and intercepting risks across compliance, ethics, and safety dimensions. It enables secure input and output monitoring through a customizable policy engine using an SSE-based interface.
Vapi MCP Server
Mirror of
Products API MCP Server
An MCP server that retrieves product data from the DummyJSON API, supporting filtering by various parameters like ID, title, category, brand, price and rating.
ScottOS MCP Calendar Server
Enables ChatGPT to interact with Google Calendar through a remote MCP server. Provides tools to list, create, update, and delete calendar events with OAuth authentication.
Vertex AI MCP Server
Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
Interactive Feedback MCP
A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.