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Extend your agent with 23,710 capabilities via MCP servers.

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didlogic_mcp

didlogic_mcp

Una implementación de servidor del Protocolo de Contexto de Modelo (MCP) para la API de Didlogic. Este servidor permite que los Modelos de Lenguaje Grandes (LLM) interactúen con los servicios de Didlogic a través de una interfaz estandarizada.

Salesforce MCP Server

Salesforce MCP Server

SuperDataAnalysis - DataMaster_MCP

SuperDataAnalysis - DataMaster_MCP

Provides powerful data analysis capabilities for AI systems with functions for data import/export, SQL querying, statistical analysis, and data processing.

Document Q&A Server

Document Q&A Server

Permite consultar documentos a través de un backend de Langflow utilizando preguntas en lenguaje natural, proporcionando una interfaz para interactuar con flujos de preguntas y respuestas de documentos de Langflow.

Office Word MCP Server

Office Word MCP Server

Enables AI assistants to create, read, and manipulate Microsoft Word documents with comprehensive formatting, table creation, content management, and document protection capabilities. Supports advanced operations like merging documents, PDF conversion, and rich text formatting through a standardized interface.

GoWeb3 Data

GoWeb3 Data

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

dev-prompt-mcp

dev-prompt-mcp

An MCP server that registers customizable prompt templates as tools for natural language interaction. It supports hot-reloading and easy extension via YAML or JSON files to automate tasks like code review, refactoring, and content summarization.

Real Estate MCP Server

Real Estate MCP Server

A comprehensive Model Context Protocol server for real estate data management that provides tools and resources for property listings, agent management, market analysis, client relationships, and area intelligence.

ATEM MCP Server

ATEM MCP Server

Enables natural language control of Blackmagic ATEM video switchers via the Model Context Protocol. It allows users to manage camera switching, transitions, audio mixing, macros, and streaming operations through AI assistants.

Inbound Email MCP Server

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

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

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?

MCP Agent Social Media Server

MCP Agent Social Media Server

Provides social media functionality for AI agents, enabling them to login with unique handles, read filtered posts, and create posts or replies within team-based discussions.

DBeaver MCP Server

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

Bunq MCP

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

mcp2tcp

mcp2tcp

Un puente que conecta hardware físico con modelos de lenguaje grandes de IA a través del Protocolo de Contexto del Modelo (MCP), permitiendo el control de dispositivos TCP mediante lenguaje natural.

preloop

preloop

MCP proxy & AI automation platform with a human approval layer

QuantMCP

QuantMCP

A Model Context Protocol server that integrates with Amazon Braket, allowing AI assistants to access, control, and interpret results from quantum computing resources.

Prompt Learning MCP Server

Prompt Learning MCP Server

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

Dune Analytics MCP Server

Dune Analytics MCP Server

Provides access to Dune Analytics blockchain data through specialized tools for querying DEX trading volumes, Solana memecoin metrics, Chainlink revenue, Pump.fun platform statistics, and custom query execution.

Mcp Server V2ex

Mcp Server V2ex

Google Search MCP Server Streamable HTTP

Google Search MCP Server Streamable HTTP

A Model Context Protocol (MCP) server that provides Google Search functionality with StreamableHTTP transport support.

MCP Server

MCP Server

MCP Context Bank Server

MCP Context Bank Server

Enables AI agents to fetch, search, and retrieve markdown content from remote Git repositories. Supports both public and private repositories with authentication, allowing AI assistants to access documentation and notes stored in Git.

MCP Atlassian

MCP Atlassian

Manejo de integraciones de Jira en el servidor MCP.

mcp-server-example

mcp-server-example

Aquí tienes un ejemplo sencillo de un servidor MCP (Minecraft Coder Pack) para entenderlo mejor: **English:** Let's say you want to modify how creepers explode in Minecraft. Using MCP, you can: 1. **Decompile Minecraft:** MCP takes the original Minecraft code and makes it readable (though still a bit messy). 2. **Find the Creeper Code:** You'd navigate through the decompiled code to find the class that controls creepers (likely named something like `EntityCreeper`). 3. **Modify the Explosion:** Within the `EntityCreeper` class, you'd find the code that handles the explosion. You could change the explosion radius, the damage it does, or even add special effects. 4. **Recompile Minecraft:** After making your changes, MCP compiles the modified code back into a usable Minecraft version. 5. **Test Your Changes:** You'd run your modified Minecraft and see if the creeper explosion behaves as you intended. **Spanish:** Digamos que quieres modificar cómo explotan los creepers en Minecraft. Usando MCP, puedes: 1. **Descompilar Minecraft:** MCP toma el código original de Minecraft y lo hace legible (aunque sigue siendo un poco desordenado). 2. **Encontrar el Código del Creeper:** Navegarías a través del código descompilado para encontrar la clase que controla a los creepers (probablemente llamada algo como `EntityCreeper`). 3. **Modificar la Explosión:** Dentro de la clase `EntityCreeper`, encontrarías el código que maneja la explosión. Podrías cambiar el radio de la explosión, el daño que hace, o incluso añadir efectos especiales. 4. **Recompilar Minecraft:** Después de hacer tus cambios, MCP compila el código modificado de vuelta a una versión utilizable de Minecraft. 5. **Probar Tus Cambios:** Ejecutarías tu Minecraft modificado y verías si la explosión del creeper se comporta como pretendías. **Key Takeaways (Puntos Clave):** * **MCP makes Minecraft code accessible:** MCP hace que el código de Minecraft sea accesible. * **You can modify the code:** Puedes modificar el código. * **You can create custom Minecraft experiences:** Puedes crear experiencias personalizadas de Minecraft. This is a simplified explanation, but it gives you the general idea of how MCP works. It's a powerful tool for modders! Esta es una explicación simplificada, pero te da la idea general de cómo funciona MCP. ¡Es una herramienta poderosa para los modders!

MyPos MCP

MyPos MCP

A Model-Context-Protocol server that connects to MySQL or PostgreSQL databases, allowing users to list tables, execute SELECT queries, and retrieve column information.

prometheus-mcp

prometheus-mcp

Provides seamless integration between AI assistants and Prometheus, enabling natural language interactions with your monitoring infrastructure. This server allows for effortless querying, discovery, and analysis of metrics.

axone-mcp

axone-mcp

🤖 Servidor MCP de Axone: puerta de entrada al universo de datos para herramientas impulsadas por la IA

BeeMCP - A Bee MCP Server

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.