Discover Awesome MCP Servers
Extend your agent with 84,517 capabilities via MCP servers.
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Gov info api
an api wrapper for the us government info api
Rollbar MCP Server
Implementação de servidor MCP que permite que LLMs interajam com dados de rastreamento de erros do Rollbar, permitindo que os usuários listem e analisem erros, visualizem ocorrências, rastreiem implantações e acessem informações do projeto.
GSC Analyst Connector
Enables querying Google Search Console data via natural language, providing tools for site traffic analysis, page changes, and optimization opportunities.
money
An MCP server that enables AI assistants to match users with capital providers for business loans, real estate, and asset tokenization through a conversational intake process.
BPE MCP Server
Enables querying consolidated Bitcoin pricing, ML signals, funding skew, and market briefings via the BPE API, without HTTP boilerplate.
FFmpeg-MCP Server
An MCP server providing video processing capabilities through FFmpeg, enabling dialog-based local video search, trimming, concatenation, and playback functionalities.
burn-mcp-server
AI-powered reading triage MCP. 26 tools with a 24h burn timer — search, triage, burn, vault, and analyze your saved articles. Works with Claude, Cursor, Windsurf. Stdio + HTTPS transports.
Oura Ring MCP Server
A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
io.github.oxgeneral/agentmem
Lightweight persistent memory for AI agents using a single SQLite file with hybrid search (keywords + semantics). Zero to 12MB install, no cloud or server required.
Valkama
A local MCP server with a web board that lets coding agents manage kanban cards, checklists, and work tracking through 30 MCP tools, with live updates and session tracking.
Chargebee MCP Server
A server that integrates with AI-powered code editors to provide immediate answers about Chargebee products and API services, offering context-aware code snippets and access to Chargebee's knowledge base.
Recall — Memory Agent for Students
Enables students to capture and recall narrated observations from labs, lectures, or fieldwork, and generate study summaries or lab report drafts.
nsight-graphics-mcp
MCP server for reading, filtering, and analyzing NVIDIA Nsight Graphics captures via ngfx-replay, exposing tools for capture inspection, GPU Trace profiling, and replay analysis.
Task Orchestrator MCP Server
A sophisticated task orchestration system with role-based workflow management and Trello integration.
ruru-swbot-mcp
Enables control of SwitchBot devices by name, reducing the risk of AI misidentifying device IDs.
mcp-ToseaAI
Official MCP server for ToseaAI that enables document-to-presentation workflows including PDF parsing, outline generation, and slide rendering. It provides a stable tool surface for AI agents to create, manage, and export presentations directly within their environment.
ShipReceipt MCP Server
Provides tools to create, run, and verify deterministic delivery receipts for completion claims, enabling reviewers to check freshness and correctness of evidence.
IRA-RESEARCHER
A powerful browser automation MCP server with 40 tools, stealth mode, ghost effects, and full DevTools access, enabling natural language control of browsers without any API keys.
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.
steam-games-mcp
Enables interaction with Steam: search games, get store details, reviews, prices, discounts, news, and player profiles, libraries, and achievements via the Steam Web API.
Revenium MCP Server
Connects AI agents to Revenium for cost tracking, alerting, and usage-based billing, enabling AI assistants to manage costs, set alerts, and handle billing operations.
Vibe MCP
Browser automation MCP server that enables multiple AI agents to simultaneously control a real Chrome browser using the Vibe extension, supporting local and private automation with logged-in sessions.
hello-mcp-server-current-time
## Exemplo Simples de um Servidor MCP Personalizado Baseado em spring-ai-starter-mcp-server para Obter a Hora Atual Aqui está um exemplo simples de como criar um servidor MCP (Model Catalog Provider) personalizado baseado em `spring-ai-starter-mcp-server` que retorna a hora atual: **1. Adicione a Dependência:** Primeiro, adicione a dependência `spring-ai-starter-mcp-server` ao seu projeto Maven ou Gradle. **Maven:** ```xml <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-starter-mcp-server</artifactId> <version>SEU_VERSAO_AQUI</version> </dependency> ``` **Gradle:** ```gradle dependencies { implementation 'org.springframework.ai:spring-ai-starter-mcp-server:SEU_VERSAO_AQUI' } ``` Substitua `SEU_VERSAO_AQUI` pela versão mais recente do `spring-ai-starter-mcp-server`. **2. Crie uma Classe de Configuração:** Crie uma classe de configuração Spring Boot para configurar o servidor MCP. ```java import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.context.annotation.Bean; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RestController; import java.time.LocalDateTime; import java.time.format.DateTimeFormatter; @SpringBootApplication public class McpServerApplication { public static void main(String[] args) { SpringApplication.run(McpServerApplication.class, args); } @RestController public static class TimeController { @GetMapping("/time") public String getCurrentTime() { LocalDateTime now = LocalDateTime.now(); DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"); return "Current Time: " + now.format(formatter); } } } ``` **Explicação:** * **`@SpringBootApplication`**: Anotação padrão do Spring Boot para indicar uma aplicação Spring Boot. * **`TimeController`**: Um controlador REST que expõe um endpoint `/time`. * **`@GetMapping("/time")`**: Mapeia requisições GET para o endpoint `/time` ao método `getCurrentTime()`. * **`getCurrentTime()`**: Obtém a hora atual, formata-a e retorna uma string. **3. Execute a Aplicação:** Execute a aplicação Spring Boot. Você pode fazer isso a partir da sua IDE ou usando a linha de comando: ```bash ./mvnw spring-boot:run # Maven ./gradlew bootRun # Gradle ``` **4. Teste o Endpoint:** Abra um navegador ou use uma ferramenta como `curl` para acessar o endpoint `/time`: ```bash curl http://localhost:8080/time ``` Você deverá ver a hora atual formatada como: ``` Current Time: 2023-10-27 10:30:00 (exemplo) ``` **Considerações:** * **Porta:** Por padrão, o Spring Boot executa na porta 8080. Você pode configurar a porta no arquivo `application.properties` ou `application.yml`. * **Formato da Hora:** Você pode personalizar o formato da hora alterando o padrão no `DateTimeFormatter`. * **spring-ai-starter-mcp-server:** Este exemplo não utiliza diretamente as funcionalidades do `spring-ai-starter-mcp-server` além de sua infraestrutura básica. Para usar o MCP de forma mais completa, você precisaria implementar as interfaces e classes fornecidas pelo `spring-ai-starter-mcp-server` para registrar e gerenciar modelos de IA. Este exemplo serve como um ponto de partida para construir um servidor MCP personalizado. **Para integrar com o spring-ai-starter-mcp-server de forma mais completa (além de apenas usar a infraestrutura Spring Boot):** Você precisaria: 1. **Definir um Modelo:** Criar uma classe que represente um modelo de IA (por exemplo, com nome, descrição, versão, etc.). 2. **Implementar um `ModelCatalogProvider`:** Criar uma classe que implemente a interface `ModelCatalogProvider` do `spring-ai-starter-mcp-server`. Esta classe seria responsável por fornecer informações sobre os modelos disponíveis. 3. **Registrar o `ModelCatalogProvider`:** Registrar a sua implementação de `ModelCatalogProvider` como um bean Spring. Este exemplo mais completo envolveria mais código e uma compreensão mais profunda do `spring-ai-starter-mcp-server`. O exemplo acima é um ponto de partida simples para criar um servidor HTTP básico com Spring Boot.
Tempera
Enables Claude Code with persistent memory that learns from past sessions, capturing coding episodes and surfacing relevant memories to improve over time.
Enterprise Secure AWS MCP Server
Enables secure tool discovery and execution on AWS Lambda with role-based access control, command injection defense, and sensitive data redaction, allowing managed CloudWatch log queries and Terraform operations through a standard MCP interface.
ui-ticket-mcp
Human-to-AI code review bridge. Annotate UI elements in the browser with review comments, and AI agents read the feedback via MCP to fix code automatically — with full element context (CSS selector, styles, DOM path, accessibility info). 10 MCP tools, framework-agnostic Web Component, zero-config install via uvx.
Web Search MCP
Provides eight tools for web search, content extraction, screenshots, PDFs, JavaScript execution, crawling, and Wayback Machine snapshots and archiving.
@gu-does-packages/pluggy-mcp
An MCP server for the Pluggy Open Finance Brazil API, enabling connection to bank accounts and management of financial data including transactions, accounts, investments, and payment intents through natural language.
Sony TV MCP Server
Enables control of Sony TVs via IRCC remote commands through Model Context Protocol.
RedHatLDAP-MCP
Provides read-only access to corporate LDAP directories, enabling AI assistants to search for people, navigate organizational hierarchies, and export contact information.