Discover Awesome MCP Servers
Extend your agent with 84,517 capabilities via MCP servers.
- All84,517
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
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- 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
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- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
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- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
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- Customer Data Platforms16
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- Health & Wellness10
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- Marketing9
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- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
daedalus
Enables driving a real Chrome instance remotely through MCP, including per-tab control, JavaScript evaluation, screenshots, cookie and network capture, and CDP fallback with token-based authentication.
Generate-Prd-Prompt
Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat
dida-mcp-server
Enables AI assistants to manage TickTick/Dida365 tasks, projects, and tags through the MCP protocol, with features for GTD-based task organization and OAuth authentication.
ae-mcp
Enables AI assistants to operate Adobe After Effects with the dexterity of an editor: reading projects, creating and rigging layers, setting real velocity curves, animating text, building native SVG-based shapes, applying effects, expressions, masks, and viewing render snapshots to verify results.
Controtto
Okay, I understand. I can translate English text to Portuguese. Furthermore, I can analyze Go code and evaluate it based on Domain-Driven Design (DDD) and Clean Architecture principles. I will strive to be strict in my assessment, looking for: * **DDD:** * **Ubiquitous Language:** Is the code using terminology that is clear, consistent, and reflects the domain language understood by domain experts? * **Bounded Contexts:** Are the boundaries of different domain areas clearly defined and enforced? Are there explicit integration points between contexts? * **Entities:** Are entities properly modeled with identity, attributes, and behavior? * **Value Objects:** Are value objects immutable and representing concepts without identity? * **Aggregates:** Are aggregates used to enforce consistency and transactional boundaries? Is the aggregate root clearly defined? * **Repositories:** Are repositories used to abstract data access and persistence concerns? * **Domain Services:** Are domain services used for complex operations that don't naturally belong to an entity or value object? * **Domain Events:** Are domain events used to decouple different parts of the system and react to changes in the domain? * **Clean Architecture:** * **Independence of Frameworks:** Is the core domain logic independent of specific frameworks and libraries? * **Testability:** Is the code easily testable, with clear separation of concerns? * **Independence of UI:** Is the UI completely decoupled from the domain logic? * **Independence of Database:** Is the database implementation a detail that can be easily swapped out? * **Use Cases (Interactors):** Are use cases clearly defined and implemented as interactors that orchestrate the domain logic? * **Entities (Domain Layer):** Is the domain layer pure and free of infrastructure concerns? * **Controllers/Presenters:** Are controllers responsible for handling input and delegating to use cases, and presenters responsible for formatting output for the UI? * **Gateways/Repositories (Interface Adapters):** Are gateways used to abstract external systems and databases? * **Dependency Rule:** Does the code adhere to the dependency rule, with dependencies pointing inwards towards the core domain? **In my analysis, I will consider:** * **Code Structure:** How well the code is organized into layers and packages. * **Naming Conventions:** Whether the naming is clear, consistent, and reflects the domain. * **Coupling and Cohesion:** How tightly coupled the different parts of the system are, and how well each module focuses on a single responsibility. * **Error Handling:** How errors are handled and propagated throughout the system. * **Test Coverage:** The extent to which the code is covered by unit and integration tests. **To get the best results, please provide me with:** * **The Go code you want me to analyze.** * **A brief description of the domain the code is intended to model.** * **Any specific concerns or areas you'd like me to focus on.** I will do my best to provide a thorough and helpful assessment. I will point out potential violations of DDD and Clean Architecture principles, and suggest improvements where possible. Keep in mind that these are principles and guidelines, and the best approach will always depend on the specific context of the project. Let me know when you're ready to provide the code!
oura-mcp
An MCP server that enables AI assistants to access Oura Ring health data including activity, sleep, heart rate, stress, and personal info.
mcp-housing-intel
Chains FRED, BLS, ATTOM, and HUD APIs to provide housing intelligence data through a single MCP server.
Aseprite MCP Tools
A Python MCP server enabling programmatic interaction with Aseprite for pixel art creation and manipulation with features like drawing operations, palette management, and batch processing.
Alibaba Cloud DMS MCP Server
A Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.
MCP API Server
A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.
Todo MCP Server
A multi-node todo application server using MCP protocol, Redis for storage, and OpenRouter for AI-powered prioritization analysis.
ShortsMonkey MCP
A read-only MCP server for discovering YouTube outliers, analyzing viral Shorts, and evaluating single-video performance using stored snapshots.
Sentry MCP Server
Enables comprehensive Sentry monitoring including performance analysis, issue tracking, and transaction tracing.
spd-mcp
Enables remote control of Siglent SPD3303X DC power supplies via SCPI over TCP/IP, supporting output control, measurement, timers, and network configuration.
Zignet
Enables AI-powered Zig programming assistance through code generation, debugging, and documentation explanation. Uses local LLM models to provide idiomatic Zig code creation and analysis capabilities.
MCP Google Server
A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.
market-recap
Provides a one-call snapshot of recent market activity and events.
mcp-searxng-tool
Um servidor MCP para permitir que Agentes de IA pesquisem conteúdo e informações de sites externos através do serviço SearXNG.
TechWord Translator MCP Server
Provides translation services for technical terms across English, Spanish, and German via MCP tools for search and translation.
CodeGuard MCP Server
Provides centralized security instructions for AI-assisted code generation by matching context-aware rules to the user's programming language and file patterns. It ensures generated code adheres to security best practices without requiring manual maintenance of instruction files across individual repositories.
bb-mcp-server
An MCP server for Bitbucket Cloud that enables reading and managing pull requests, comments, and descriptions via MCP clients.
Frappe Assistant Core
MCP server that enables LLMs to interact with ERPNext/Frappe sites for document CRUD, search, reports, workflows, and analytics, respecting user permissions and logging all actions.
SimpleMCP
A lightweight MCP server that auto-discovers tool kits, enabling tools like SQLite queries and web searches via Tavily API.
pendpost
Pendpost MCP server — exposes ~43 tools for posting, scheduling, and managing content via the Pendpost platform.
onbid-mcp
Enables LLM clients to ask plain-language questions about Korean public auction property data from the 온비드 OpenAPI, including normalized pricing, location, and failed-sale history.
Coval MCP Server
Enables AI assistants to interact with Coval's evaluation platform for launching and monitoring evaluation runs, managing agents and test sets, and retrieving evaluation metrics.
instantKOM MCP Server
Enables AI assistants to manage instantKOM messenger platform resources (channels, contacts, messages, newsletters, bots, flows, analytics) via structured type-safe tool calls.
influx-mcp
MCP server for InfluxDB 2.x, tuned for Home Assistant long-term storage, enabling reading sensor history, finding anomalies, and running Flux queries.
mcp-mysql-remote
Remote read-only MCP server that exposes diagnostic SQL queries to EasyJur's MySQL for Claude.ai via HTTPS, secured with OAuth 2.1 and PKCE.
Mercantry MCP Server
Enables AI agents to search and retrieve structured merchant data, check availability, manage bookings, and submit feedback against an open commerce registry with real restaurant data for LA, Hong Kong, and Tokyo.