Discover Awesome MCP Servers

skim-mcp

Pay-per-use clean web reader for AI agents. URL in, markdown plus metadata out, in milliseconds. Settled per-call in USDC over x402 — no signup, no API keys.

patchwork-os

MCP bridge server for patchwork-os. Boots a stdio-HTTP bridge with MCP introspection over /mcp, supporting tools/list and the full MCP protocol over HTTP.

gitlab-ci-mcp

MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

google-ads-mcp

Enables interaction with Google Ads API through MCP, allowing search and listing of accessible customers.

Fitbit MCP

Local-first MCP server that connects AI agents to your Fitbit activity, sleep, heart-rate, HRV, SpO2 and weight data.

ITK Dev Docker MCP Server

Provides AI coding assistants with access to ITK Dev Docker documentation and project analysis tools, enabling template listing, project detection, and comparison.

MySQL MCP Server

Enables AI models to interact with MySQL databases through standardized operations including querying, executing commands, listing tables, and describing table structures with secure prepared statement support.

Response MCP Server

Enables agentic SecOps by executing Microsoft Defender XDR response actions (device isolation, antivirus scans, forensic collection, incident management) through natural language with orchestrators like GitHub Copilot.

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.

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.

personal-resume-agent

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

⚡ go-mcp

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

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.

findocs-mcp

An eval-first MCP server for semantic search and grounded Q\&A over financial documentation, with a CI regression gate that fails on retrieval or faithfulness regressions.

FL Studio MCP

Un servidor MCP que conecta a Claude con FL Studio, permitiendo a la IA componer música, controlar instrumentos y grabar en vivo melodías, acordes y baterías en el piano roll.

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.

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

VNStock MCP Server

Provides tools to access Vietnam stock market data, including stock prices, financial statements, and market statistics.

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 MCP Server provides events and news curated by GoWeb3.fyi