Discover Awesome MCP Servers

Extend your agent with 28,665 capabilities via MCP servers.

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Amadeus Agent

Amadeus Agent

A proof-of-concept MCP server that allows LLM agents to query live flight booking information via Amadeus, including cheapest tickets, destinations, and airline routes.

MCP Planes Server

MCP Planes Server

Placeholder Image Generator

Placeholder Image Generator

Generates customizable placeholder images with configurable dimensions, colors, and text using HTML5 Canvas. Supports multiple formats (PNG/JPEG) with automatic text scaling and contrast detection.

Markdownify MCP Server

Markdownify MCP Server

Converts various file types (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube videos, web pages, Bing search results) into Markdown format for easy reading and sharing.

MCP Hardware Access Library

MCP Hardware Access Library

A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.

TimeCard MCP

TimeCard MCP

An MCP server that automates TimeCard timesheet management using Playwright browser automation. It enables users to manage projects, activities, and daily hours entries through natural language interactions.

Gemini Chat MCP

Gemini Chat MCP

Enables chatting with Google Gemini AI models and custom Gems, supporting text and image generation with automatic cookie synchronization via Chrome extension.

Awesome-MCP-Server 🚀

Awesome-MCP-Server 🚀

SSI Stock Data MCP Server

SSI Stock Data MCP Server

A Model Context Protocol server that enables AI assistants to query Vietnam stock intraday data from SSI FastConnect API, providing access to stock codes, detailed information, index data, and OHLC information through natural language queries.

coros-workout-mcp

coros-workout-mcp

Enables Claude to design strength workouts and push them directly to COROS watches via the Training Hub API. It supports searching an exercise catalog, creating workout routines, and listing existing workouts.

Honeycomb MCP Server

Honeycomb MCP Server

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MCP Calculator Project

MCP Calculator Project

A communication pipe and tool suite that enables AI models to interact with external systems through mathematical calculations, remote control, and data processing. It supports multiple transport protocols including stdio, SSE, and HTTP for flexible and extensible tool integration.

Obsidian MCP

Obsidian MCP

Um servidor de Protocolo de Contexto de Modelo que permite que assistentes de IA leiam, escrevam e manipulem notas no seu cofre do Obsidian através de uma interface padronizada.

MCP Worktree Voting Server

MCP Worktree Voting Server

Enables parallel implementation of tasks using git worktrees, allowing you to create multiple variants of a solution, evaluate them side-by-side, and select the best one.

Simple TypeScript MCP Server

Simple TypeScript MCP Server

A TypeScript template for building Model Context Protocol servers that implements basic note-taking CRUD operations with JSON responses.

MCP Database Tools Server

MCP Database Tools Server

An MCP server designed to automate Django database setup and management, including PostgreSQL database creation and extension configuration. It enables users to update environment files and execute Django management commands through integrated tools like VS Code Copilot.

adops-mcp

adops-mcp

Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.

Salesforce MCP

Salesforce MCP

Enables interaction with Salesforce API using jsforce, allowing users to query and manage Salesforce data through the Model Context Protocol with username/password authentication.

Simple Timer MCP Server

Simple Timer MCP Server

An MCP server that provides interval timing functionality using token-based time tracking, allowing users to start timers with unique identifiers and check elapsed time in milliseconds or human-readable format.

qdrant-mcp-local

qdrant-mcp-local

Aqui está uma configuração Docker Compose para iniciar facilmente o Qdrant e o MCP-server-qdrant em um ambiente local: ```yaml version: "3.9" services: qdrant: image: qdrant/qdrant:latest ports: - "6333:6333" # Porta para a API do Qdrant - "6334:6334" # Porta para gRPC volumes: - qdrant_data:/qdrant/storage # Persistência de dados (opcional) restart: unless-stopped mcp-server-qdrant: image: your-mcp-server-qdrant-image:latest # Substitua pela sua imagem do MCP-server-qdrant ports: - "8000:8000" # Porta para a API do MCP-server-qdrant (ajuste conforme necessário) environment: QDRANT_HOST: qdrant QDRANT_PORT: 6333 # Adicione outras variáveis de ambiente necessárias para o seu MCP-server-qdrant depends_on: - qdrant restart: unless-stopped volumes: qdrant_data: # Volume para persistir os dados do Qdrant (opcional) ``` **Explicação:** * **`version: "3.9"`:** Especifica a versão do Docker Compose. * **`services:`:** Define os serviços que serão executados. * **`qdrant:`:** Define o serviço Qdrant. * **`image: qdrant/qdrant:latest`:** Usa a imagem mais recente do Qdrant do Docker Hub. * **`ports:`:** Mapeia as portas do container para o host. `6333` é a porta padrão para a API do Qdrant e `6334` para gRPC. * **`volumes:`:** Monta um volume para persistir os dados do Qdrant. Isso é opcional, mas recomendado para evitar a perda de dados ao reiniciar o container. * **`restart: unless-stopped`:** Reinicia o container automaticamente, a menos que ele tenha sido parado manualmente. * **`mcp-server-qdrant:`:** Define o serviço MCP-server-qdrant. * **`image: your-mcp-server-qdrant-image:latest`:** **IMPORTANTE:** Substitua `your-mcp-server-qdrant-image:latest` pelo nome da sua imagem Docker do MCP-server-qdrant. * **`ports:`:** Mapeia a porta do container para o host. `8000` é um exemplo, ajuste conforme a porta que seu MCP-server-qdrant usa. * **`environment:`:** Define variáveis de ambiente para o container. * **`QDRANT_HOST: qdrant`:** Define o hostname do Qdrant. Como estamos usando o Docker Compose, podemos usar o nome do serviço (`qdrant`) como hostname. * **`QDRANT_PORT: 6333`:** Define a porta da API do Qdrant. * **Adicione outras variáveis de ambiente:** Seu MCP-server-qdrant pode precisar de outras variáveis de ambiente, como chaves de API, configurações de banco de dados, etc. Adicione-as aqui. * **`depends_on:`:** Garante que o Qdrant seja iniciado antes do MCP-server-qdrant. * **`restart: unless-stopped`:** Reinicia o container automaticamente, a menos que ele tenha sido parado manualmente. * **`volumes:`:** Define os volumes que serão usados. * **`qdrant_data:`:** Define um volume nomeado para persistir os dados do Qdrant. **Como usar:** 1. **Salve o código acima em um arquivo chamado `docker-compose.yml`.** 2. **Substitua `your-mcp-server-qdrant-image:latest` pelo nome da sua imagem Docker do MCP-server-qdrant.** 3. **Adicione as variáveis de ambiente necessárias para o seu MCP-server-qdrant na seção `environment`.** 4. **Abra um terminal no mesmo diretório do arquivo `docker-compose.yml`.** 5. **Execute o comando `docker-compose up -d`.** Isso irá baixar as imagens, criar os containers e iniciá-los em modo detached (em segundo plano). **Para parar os containers:** Execute o comando `docker-compose down`. **Observações:** * **Persistência de dados:** O volume `qdrant_data` é usado para persistir os dados do Qdrant. Se você não precisar persistir os dados, você pode remover a seção `volumes` do serviço `qdrant` e a definição do volume `qdrant_data`. * **Variáveis de ambiente:** Certifique-se de configurar corretamente as variáveis de ambiente para o seu MCP-server-qdrant. * **Portas:** Ajuste as portas conforme necessário. * **Imagem do MCP-server-qdrant:** Lembre-se de substituir `your-mcp-server-qdrant-image:latest` pelo nome da sua imagem Docker. * **Rede:** O Docker Compose cria uma rede padrão para os containers, permitindo que eles se comuniquem usando seus nomes de serviço como hostnames. Este é um exemplo básico. Você pode precisar ajustar a configuração para atender às suas necessidades específicas. Consulte a documentação do Qdrant e do MCP-server-qdrant para obter mais informações.

ABP.IO MCP Server

ABP.IO MCP Server

Enables AI models to interact with ABP.IO applications through over 48 tools for managing modules, entities, users, and multi-tenancy. It supports comprehensive application lifecycle management and automated UI generation across multiple frameworks including Angular, Blazor, and MVC.

Remote MCP Server on Cloudflare

Remote MCP Server on Cloudflare

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

MCP-Demo

MCP-Demo

MCP Duty Pharma

MCP Duty Pharma

MCP Duty Pharma

Wan2GP MCP Server

Wan2GP MCP Server

Enables AI assistants to generate videos from text prompts and images by interfacing with a Wan2GP Gradio server. It provides tools for high-quality video generation, queue management, and model discovery through the Model Context Protocol.

mcp-tts-server

mcp-tts-server

CODING DevOps MCP Server

CODING DevOps MCP Server

Implementa o Protocolo de Contexto do Modelo (MCP) para permitir a interação com a plataforma CODING DevOps através de interfaces padronizadas para gerenciar projetos e itens de trabalho.

mcp-superset

mcp-superset

Full-featured MCP server for Apache Superset — 135+ tools for dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups), audit, and more. Built-in safety validations.

MCP Code Reviewer

MCP Code Reviewer

An AI-powered server for code analysis, requirements validation, and automated fix proposals with human-in-the-loop confirmation. It supports multiple LLM providers and ensures safe file modifications through automatic backups and path validation.

Salesforce MCP Server

Salesforce MCP Server

Enables natural language interactions with Salesforce data and metadata, supporting queries, data manipulation, custom object/field management, Apex code operations, and debug logging across multiple authentication methods.