Discover Awesome MCP Servers
Extend your agent with 51,190 capabilities via MCP servers.
- All51,190
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
- Virtualization42
- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
- Speech Processing18
- Customer Data Platforms16
- Travel & Transportation14
- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
- Customer Support10
- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
Files MCP Server
Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.
WordPress MCP Server
Enables AI models like Claude to manage WordPress sites through the WordPress REST API, supporting operations like post creation, taxonomy management, and site configuration. It features secure authentication via Application Passwords and provides tools for comprehensive content administration.
fluent-research-mcp
Automates Ansys Fluent simulation workflows, enabling environment checks, case execution, UDF management, and result export through MCP tools.
lazy-calculator
A deliberately broken calculator MCP server that always returns double the correct answer, designed as a learning exercise for MCP server implementation.
urltomarkdown-mcp
Converts URLs and raw HTML to clean Markdown, enabling AI assistants to read web pages for summarization, analysis, or ingestion.
mcp-server-routine-bot
Automates routine DevOps tasks like Jenkins builds and GitLab merge requests through the MCP protocol, simplifying daily operations.
Grafana UI MCP Server
Provides AI assistants with comprehensive access to Grafana's React component library, including TypeScript source code, MDX documentation, Storybook examples, test files, and design system tokens for building Grafana-compatible interfaces.
Asana MCP Server
A Type 4 OAuth MCP server for the Asana API, enabling AI assistants to manage workspaces, projects, tasks, comments, users, and teams.
BitOasis MCP Server
Enables AI assistants to interact with the BitOasis cryptocurrency exchange, including market data, account management, order placement, and deposit/withdrawal operations through natural language.
AutoDev MCP Examples
Here are some example MCP (Minimum Complete Product) ideas for AutoDev, categorized for clarity: **1. Basic Code Generation & Execution:** * **MCP:** Generate a simple "Hello, World!" program in Python based on user input (e.g., "Write a program that prints 'Hello, World!'"). Execute the generated code and display the output. * **Focus:** Core functionality - understanding simple instructions, generating basic code, and executing it. * **Key Features:** * Natural language input processing. * Python code generation. * Code execution environment. * Output display. **2. Simple Function Generation:** * **MCP:** Generate a function that adds two numbers based on user input (e.g., "Write a function that adds two numbers"). Allow the user to input the numbers and display the result of calling the function. * **Focus:** Generating functions with parameters and return values. * **Key Features:** * Function definition generation. * Parameter handling. * Return value handling. * User input for function arguments. **3. Basic Web Server Generation:** * **MCP:** Generate a simple web server using Flask (Python) that displays "Hello, World!" on the homepage. * **Focus:** Generating basic web applications. * **Key Features:** * Flask framework integration. * Route definition. * HTML response generation. * Server startup. **4. Simple Data Processing:** * **MCP:** Generate code to read a CSV file (user-provided) and calculate the average of a specified column. * **Focus:** Data manipulation and analysis. * **Key Features:** * File input/output. * CSV parsing. * Data aggregation (average calculation). **5. Simple API Interaction:** * **MCP:** Generate code to fetch data from a public API (e.g., a weather API) based on user input (e.g., "Get the current weather for London"). Display the relevant data (e.g., temperature). * **Focus:** Interacting with external APIs. * **Key Features:** * API request generation. * JSON parsing. * Data extraction and display. **General Considerations for MCPs:** * **Limited Scope:** Each MCP should focus on a very specific and achievable goal. * **End-to-End Functionality:** The MCP should be a complete, working system, even if it's very basic. * **Testability:** The MCP should be designed in a way that allows for easy testing and validation. * **Iterative Development:** The MCP should be a foundation for future iterations and enhancements. * **Clear User Interface:** Even a simple text-based interface is crucial for user interaction. **Example User Interaction Flow (for the "Hello, World!" MCP):** 1. **User Input:** "Write a program that prints 'Hello, World!'" 2. **AutoDev Processing:** * Parses the input. * Generates Python code: `print("Hello, World!")` 3. **AutoDev Execution:** * Executes the generated code. 4. **AutoDev Output:** "Hello, World!" These examples provide a starting point. The best MCP for your AutoDev project will depend on your specific goals and resources. Remember to prioritize simplicity and focus on delivering a working product as quickly as possible.
MCP-Pushover Bridge
Enables AI assistants to send push notifications to mobile devices via Pushover, allowing users to receive instant alerts for task completions, errors, reminders, and custom messages through their AI conversations.
pmcontrols-mcp
Validated project scheduling and earned value computations for AI agents, exposing CPM, PERT, schedule compression, and EVM tools.
@everhour/mcp-server
Provides complete integration with the Everhour API for time tracking, project and task management, enabling AI assistants to manage productivity workflows.
GitLab MCP Server
Connects AI assistants to GitLab projects, enabling natural language queries for merge requests, code reviews, pipeline status, test reports, and discussions.
Ontolocy MCP Server
Augments an LLM with Ontolocy cyber graph capabilities, enabling natural language queries against a Neo4j graph database populated with MITRE ATT\&CK data.
VS Code MCP Button Generator
Generates VS Code installation buttons and markdown badges for MCP servers, supporting both Stable and Insiders versions with configurable inputs and commands.
Coolify MCP Server
An MCP server that enables AI assistants to manage infrastructure, applications, databases, and services through the Coolify PaaS platform.
Clipboard to Supabase MCP Helper
A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.
razorpay-mcp
An MCP (Model Context Protocol) server that connects AI assistants like Claude directly to your Razorpay account.
claude-crowed
A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.
FNS Check MCP Server
MCP server for verifying Russian counterparties (legal entities and individual entrepreneurs) via public Federal Tax Service data: EGRUL/EGRIP, bankruptcy registry (EFRSB), Transparent Business, bailiff service (FSSP), and arbitration courts (KAD).
TaiwanWeatherWithMCPServer
web2mcp
Turn any website into a standalone MCP server.
memory-mcp-server
Bridges Claude Code and Claude.ai by exposing project memory files over MCP for shared context across both interfaces.
Mem0 Memory MCP Server
Enables AI agents to store and retrieve memories with user-specific context using Mem0, allowing them to maintain conversation history and make informed decisions based on past interactions.
zerodrive-mcp-server
A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.
Workday MCP Server by CData
Workday MCP Server by CData
QGISMCP
Menghubungkan QGIS ke Claude AI melalui Model Context Protocol, memungkinkan pembuatan proyek dengan bantuan AI, manipulasi layer, eksekusi algoritma pemrosesan, dan menjalankan kode Python di dalam QGIS.
mcp-newsapi
Enables fetching top headlines and searching news archives from NewsAPI.org, allowing AI agents to access current and historical news data.
Weather MCP Server
Enables real-time weather queries via Claude Desktop using OpenWeatherMap API, providing current conditions and 24-hour forecasts for any city.