Discover Awesome MCP Servers

BeeMCP - A Bee MCP Server

BeeMCP: un servidor no oficial del Protocolo de Contexto del Modelo (MCP) que conecta tu dispositivo portátil de registro de vida Bee a la IA a través del Protocolo de Contexto del Modelo.

text-count-mcp-server

Un servidor de Protocolo de Contexto de Modelo para el conteo de texto.

Remote MCP with Azure Functions

A template for building and deploying custom remote MCP servers on Azure Functions with Python, allowing for saving and retrieving snippets with built-in security using keys and HTTPS.

Google Cloud Logging MCP Server

Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

Azure Analysis Services MCP Server by CData

Azure Analysis Services MCP Server by CData

Claude Team MCP Server

Enables Claude Code to orchestrate a team of independent Claude Code sessions within iTerm2 for parallel task execution and isolated git worktree management. It provides tools to spawn, monitor, and message worker sessions while maintaining full visibility and control over their terminal windows.

Trade Agent

Trade Agent

MCP Docker Demo

A demonstration MCP server implementation with Docker support that provides a simple hello-world tool and includes a web-based inspector for interactive testing and exploration of MCP tools.

MCP File System

Un servidor que implementa el Protocolo de Contexto de Modelo y que proporciona operaciones del sistema de archivos (lectura/escritura, gestión de directorios, movimiento de archivos) a través de una interfaz estandarizada con controles de seguridad para los directorios permitidos.

EdgeOne Pages MCP: Geo Location Service

Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.

Inbound Email MCP Server

Enables AI assistants to interact with the Inbound Email API to manage domains, endpoints, and email communications. Users can send or schedule emails, manage webhooks, and retrieve email threads through natural language commands.

MCP fal.ai Image Server

Enables AI-powered image generation from text prompts using fal.ai models directly within IDEs. Supports multiple models, customizable parameters, and saves generated images locally with accessible file paths.

kaggle-mcp

Okay, I understand. I can act as a helpful assistant that translates text from English to Spanish and also describes how I can interact with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks. Here's how I can do that: **Translation (English to Spanish):** Just provide me with the English text you want translated, and I will give you the Spanish equivalent. For example: **You:** "Hello, how are you?" **Me:** "Hola, ¿cómo estás?" **Kaggle API Interaction (Description):** While I cannot directly execute code or interact with external APIs like the Kaggle API, I can explain how you would use it and what I can help you with in that process. Here's a breakdown: 1. **Kaggle API Setup:** You need to install the Kaggle API client on your system (usually via `pip install kaggle`). You also need to authenticate by downloading your API token from your Kaggle account settings and placing it in the correct directory (usually `~/.kaggle/kaggle.json`). 2. **Searching for Datasets:** The Kaggle API allows you to search for datasets based on keywords, tags, and other criteria. For example, using the command line: ```bash kaggle datasets list -s "machine learning" ``` I can help you formulate these search queries. For example, you could ask me: "What Kaggle API command would I use to search for datasets related to 'natural language processing' and sorted by 'hotness'?" And I would respond with: ```bash kaggle datasets list -s "natural language processing" --sort-by hotness ``` 3. **Downloading Datasets:** Once you've found a dataset, you can download it using the API. For example: ```bash kaggle datasets download -d username/dataset-name ``` I can help you construct the correct download command. For example, you could ask: "How do I download the 'Titanic' dataset from Kaggle, assuming the owner is 'competitions'?" And I would respond with: ```bash kaggle datasets download -d competitions/titanic ``` 4. **Generating EDA Notebook Prompts:** After downloading a dataset, you'll likely want to perform Exploratory Data Analysis (EDA). I can help you generate prompts for large language models (LLMs) like myself or others to create EDA notebooks. These prompts would guide the LLM to: * Load the dataset into a Pandas DataFrame. * Display basic information about the dataset (shape, data types, missing values). * Generate descriptive statistics. * Create visualizations (histograms, scatter plots, box plots) to understand the distributions of variables and relationships between them. * Identify potential outliers. * Formulate hypotheses about the data. For example, you could ask me: "Give me a prompt for an LLM to generate an EDA notebook for the Titanic dataset, focusing on visualizing the relationship between 'Pclass' and 'Survived'." And I would provide a prompt like this: ``` "You are an AI assistant that generates Python code for an EDA notebook. The dataset is the Titanic dataset (titanic.csv). Load the dataset into a Pandas DataFrame. Display the first 5 rows. Show the shape of the DataFrame. Display the data types of each column. Check for missing values. Create a bar plot showing the survival rate for each passenger class ('Pclass'). Add appropriate titles and labels to the plot. Write a brief summary of the findings from the plot, highlighting any observed relationships between passenger class and survival." ``` **In summary, I can help you with the Kaggle API by:** * Translating text to Spanish. * Helping you formulate Kaggle API search queries. * Helping you construct Kaggle API download commands. * Generating prompts for LLMs to create EDA notebooks based on downloaded datasets. Let me know how I can help you! What would you like me to do first? Do you want me to translate something, help you with a Kaggle API command, or generate an EDA notebook prompt?

DBeaver MCP Server

A Model Context Protocol server that enables AI assistants to access and query 200+ database types through existing DBeaver connections without additional configuration.

Bunq MCP

A Model Context Protocol server for Bunq that enables interaction with the Bunq banking API through OAuth integration.

Prospectio MCP API

A FastAPI-based application that implements the Model Context Protocol for lead prospecting, allowing users to retrieve business leads from different data sources like Mantiks through a clean architecture.

MCP Server with Docker

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

MCP Materials Server

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

This is MCP server for test

Servidor MCP para pruebas

Code Search, Read & PR Analysis

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.

Plasma Testnet MCP Server

Enables AI assistants to interact with the Plasma Network blockchain testnet, supporting XPL token transfers, transaction monitoring, gas estimation, wallet balance queries, and smart contract interactions through natural language.

⚡ go-mcp

⚡ Un SDK de Go con seguridad de tipos e intuitivo para construir servidores MCP con facilidad y confianza.

Foundry MCP Project

Un servidor de Protocolo de Contexto de Modelo que permite la interacción con las herramientas de Foundry a través del lenguaje natural, permitiendo a los usuarios crear proyectos, construir contratos, ejecutar pruebas y administrar entornos de desarrollo de Ethereum.

MCP Server - Images

A Model Context Protocol server that enables AI-powered image generation through Stability AI and Black Forest Labs APIs, allowing users to create images from detailed text prompts with customizable settings and comprehensive metadata tracking.

PokeMCP

Enables AI assistants to play Pokemon Fire Red through the mGBA emulator by providing tools for button inputs and screenshots. It allows for direct reading of real-time game state from RAM, including party information, player location, and battle status.

Pocket Assistant MCP Server

Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.

Model Context Protocol (MCP) Server

A unified API server that enables interaction with multiple AI model providers like Anthropic and OpenAI through a consistent interface, supporting chat completions, tool calling, and context handling.

Xano MCP Server for Smithery

Un servidor de Protocolo de Contexto de Modelo que permite a Claude AI interactuar con bases de datos Xano, proporcionando operaciones integrales de bases de datos, gestión de archivos y seguimiento del historial de solicitudes a través de una interfaz estandarizada.

Google Tasks MCP Server

Enables integration with Google Tasks API to create and manage tasks through OAuth 2.0 authentication. Supports listing task lists and creating new tasks with automatic token refresh.