Discover Awesome MCP Servers

PostgreSQL MCP Server

Un servidor de Protocolo de Contexto de Modelo que permite la interacción con bases de datos PostgreSQL para listar tablas, recuperar esquemas y ejecutar consultas SQL de solo lectura.

EduChain MCP Server

Enables AI-powered educational content generation, including multiple-choice questions and lesson plans, through a modular command platform.

scholar-mcp

A FastMCP server for the scholarly citation landscape that enables LLMs to search, cross-reference, and retrieve prior art across papers, patents, books, and standards via multiple APIs.

@alpha-arcade/mcp

MCP server for Alpha Arcade prediction markets on Algorand. Enables AI agents to browse markets, fetch orderbooks, place orders, manage positions, and trade on-chain prediction markets.

mcp-on-fire

Un repositorio para MCP en llamas con un README atractivo sobre el servidor GitHub MCP.

neuro-cube-brain

Enables AI assistants to read real-time focus state from any BrainFlow-supported EEG headset.

hotmart-mcp

An MCP server for the Hotmart digital products platform that enables management of sales, subscriptions, and products. It provides tools for listing users, processing refunds, and monitoring commissions.

JauMemory MCP Server

Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.

AtlassianJira MCP Integration Server

Enables Jira integration with dynamic configuration, time logging, task creation, issue updates, and bulk imports through natural language.

whed-tools

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Dokploy MCP Server

Exposes Dokploy functionalities as tools consumable via the Model Context Protocol, allowing AI models and other applications to programmatically manage projects and applications on a Dokploy server.

Qwen MCP Tool

Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.

Browser Agent MCP

Browser Agent MCP

UniversalDeFi AI

Un servicio de backend que ejecuta transacciones a través de múltiples blockchains, permitiendo a los usuarios administrar billeteras, transferir tokens e interactuar con contratos inteligentes utilizando el marco de trabajo del Protocolo de Contexto del Modelo.

secret-scanner

Enables scanning diffs or code blobs for leaked secrets, returning a verdict with severity and masked findings, all processed locally with no data sent externally.

dejared-mcp

A Model Context Protocol (MCP) server for exploring, analyzing, and decompiling Java JAR files.

airflow-unfactor

An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.

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.

CodeRecoder MCP

An intelligent code version management system based on the MCP protocol, providing AI-enhanced code snapshots, project versioning, and smart change detection for AI-assisted programming.

mcp-witness

Cryptographic proof of every AI decision. An immutable, verifiable audit trail MCP server.

Semantic Search MCP Server

Provides hybrid semantic and keyword code search for Claude Code using BM25 and vector retrieval. It enables indexing and searching local codebases with language-aware chunking and local embeddings.

GoWeb3 Data

GoWeb3 Data MCP Server provides events and news curated by GoWeb3.fyi

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.

Materio MCP Server

Enables AI assistants to search and read Materio's educational PDF resources directly, without manual file uploads.

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.

Mcp Server

Enables dependency, security, and coding convention checks for Python and Java projects via MCP tools. Supports local paths or Git URLs.

GDA-MCP-Server

Enables Android APK static analysis in Cursor/Claude via GDA CLI Server, supporting reconnaissance, attack surface scanning, and code decompilation through natural language.

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.