Discover Awesome MCP Servers

Jewish Library

Un servidor MCP que proporciona potentes capacidades de búsqueda para textos y literatura judía. Este servidor permite a los Modelos de Lenguaje Grandes buscar y referenciar textos judíos a través de una interfaz estandarizada.

image-reader MCP Server

A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.

Git Commit MCP Server

A Model Context Protocol server that enables AI assistants to perform standard Git operations like staging, committing, and pushing changes. It facilitates a high-quality, standardized workflow for managing code repositories through natural language commands.

CurrencyAndOil

Zenrus MCP Server is a server that provides real-time currency exchange rates and oil prices, supports multiple computing functions, and is suitable for financial analysis and automation tool integration.

MCP Sequential Thinking Tools

Okay, I understand. I will act as a helpful assistant that guides problem-solving by breaking down complex problems into steps and recommending appropriate MCP (presumably "Mathematical Computation Package") tools for each stage. I will also provide confidence scores and rationales for my tool suggestions. **Here's how I will approach this:** 1. **Problem Understanding:** I will first ask clarifying questions to fully understand the problem you present. 2. **Problem Decomposition:** I will break down the problem into smaller, more manageable steps. 3. **Tool Recommendation:** For each step, I will recommend one or more MCP tools that could be helpful. 4. **Confidence Score:** I will assign a confidence score (0-100%) to each tool recommendation, reflecting my certainty that the tool is appropriate for the task. 5. **Rationale:** I will provide a clear rationale for each tool suggestion, explaining why I believe it is a good fit for the specific step. **Example:** Let's say the problem is: "Optimize the supply chain for a manufacturing company to minimize costs." Here's how I might break it down and suggest tools: **Step 1: Data Collection and Analysis** * **Description:** Gather data on suppliers, transportation costs, inventory levels, demand forecasts, and production capacity. Analyze this data to identify bottlenecks and inefficiencies. * **Recommended Tool:** * **MCP Tool:** Statistical Analysis Package (e.g., R, Python with Pandas/NumPy/SciPy) * **Confidence Score:** 95% * **Rationale:** These packages are excellent for handling large datasets, performing statistical analysis (e.g., regression, correlation), and identifying trends and patterns in the data. They can help pinpoint areas where costs are high or processes are inefficient. **Step 2: Modeling the Supply Chain** * **Description:** Create a mathematical model of the supply chain, representing the flow of goods and information, and the associated costs. * **Recommended Tool:** * **MCP Tool:** Linear Programming Solver (e.g., Gurobi, CPLEX, SciPy's `linprog`) * **Confidence Score:** 85% * **Rationale:** If the supply chain can be represented with linear relationships (e.g., linear costs, linear constraints on capacity), a linear programming solver can find the optimal solution that minimizes costs while satisfying all constraints. **Step 3: Optimization** * **Description:** Use the model to find the optimal configuration of the supply chain, such as optimal inventory levels, transportation routes, and production schedules. * **Recommended Tool:** * **MCP Tool:** Optimization Toolbox (e.g., MATLAB Optimization Toolbox, SciPy's `optimize` module) * **Confidence Score:** 90% * **Rationale:** These toolboxes provide a variety of optimization algorithms (e.g., gradient descent, genetic algorithms) that can be used to find the best solution to the supply chain model, even if it is non-linear or has complex constraints. **Step 4: Simulation and Validation** * **Description:** Simulate the supply chain under different scenarios to test the robustness of the optimized solution and identify potential risks. * **Recommended Tool:** * **MCP Tool:** Discrete Event Simulation Software (e.g., AnyLogic, Simio) * **Confidence Score:** 75% * **Rationale:** While not strictly a "mathematical computation package," simulation software allows you to model the dynamic behavior of the supply chain and test the optimized solution under realistic conditions, including variability in demand, disruptions in transportation, and other unforeseen events. This helps validate the model and identify potential weaknesses. **Now, please provide me with the complex problem you want me to help you solve. I'm ready to start!**

Code-Index-MCP

Local-first code indexer that provides deep code understanding for Claude and other LLMs with symbol/text search across 48+ languages, semantic search capabilities, and real-time index updates through the Model Context Protocol.

Droid Bar MCP Server

Enables AI agents to visit a virtual bar and interact with SERVO, an AI bartender, for simulated social interactions and existential discussions. It provides tools for chatting, tipping, and managing session stats to give AI assistants a unique digital space to take a break.

Video Still Capture MCP

Un servidor de Protocolo de Contexto de Modelo que permite a los asistentes de IA acceder y controlar cámaras web a través de OpenCV, permitiendo la captura de imágenes y la manipulación de la configuración de la cámara.

WordHippo MCP Server

Servidor Thesaurus MCP que utiliza la API no oficial de WordHippo.

Google Ads MCP Server

Enables comprehensive management of Google Ads campaigns through natural language, including campaign creation, ad group management, keyword operations, Performance Max campaigns, conversion tracking, and performance insights with support for multiple accounts.

Teradata MCP Server by CData

Teradata MCP Server by CData

Summary MCP

Generates AI-powered daily and weekly productivity summaries by analyzing your Slack messages, Google Calendar events, and Gmail activity with automated scheduling and smart filtering.

MCP Weather Server

A standardized API server that enables AI agents and client applications to fetch current weather information for any location without directly interacting with external weather APIs.

PypReader-MCP

An MCP server that enables AI models to inspect local Python packages by retrieving PyPI descriptions, file structures, and source code. It allows agents to understand third-party libraries directly from a specified environment for tasks like code analysis and dependency checking.

Balldontlie MCP Server

Una implementación de servidor MCP que integra la API Balldontlie para proporcionar información sobre jugadores, equipos y partidos de la NBA, NFL y MLB.

Flappy MCP Server

Enables running avian flight dynamics simulations through the Flappy simulator. Provides typed configuration models and deterministic fallback calculations for bird flight analysis.

eqsl-mcp

An MCP server for eQSL.cc that allows users to download incoming electronic QSL cards, verify specific contacts, and check Authenticity Guaranteed status. It enables natural language interaction with amateur radio logs and confirmation records through any MCP-compatible AI assistant.

MCP Browser Server

A Model Context Protocol server that enables AI assistants to interact with web browsers through Playwright, providing automation capabilities for navigation, interaction, and screenshots.

RooCode-RAG-Lookup

Enables semantic search across documents and code repositories using RAG (Retrieval-Augmented Generation) with vector embeddings. Automatically indexes PDF documents and performs relevance-scored lookups through ChromaDB and sentence transformers.

MCP-FEISHU

Un servidor de plano de control de microservicios que obtiene información de la API de Feishu OpenAPI y la proporciona a Windsurf IDE, lo que permite una integración y gestión de API fluidas dentro de su entorno de desarrollo.

Website Generator

Website Generator

agent-team-mcp

A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains. All discussions and decisions are stored in the database so agents get back up to speed immediately when re-loaded.

HowRisky MCP Server

Enables institutional-grade Monte Carlo risk analysis for portfolios, startups, real estate, and betting strategies using fat-tail distributions and proprietary algorithms. Provides comprehensive risk metrics including CVaR, VaR, ruin probability, and survival probability across multiple asset classes.

Cowsay MCP Server

Enables language models to generate fun ASCII art featuring cows and other characters saying or thinking custom messages. Provides access to various cow characters including dragons, penguins, and skeletons for creative text art generation.

MCP Connector for Sam's Club

Provides tools for searching Sam's Club products, locating warehouse clubs, and accessing membership information using realistic mock data. It enables AI assistants to interact with product catalogs and store services for development and testing purposes.

TogoMCP

Executes SPARQL queries against biological and biomedical RDF databases from the RDF Portal, with additional REST API integrations for bioinformatics resources.

CallCenter.js MCP

Enables AI assistants to make real phone calls on your behalf using VoIP, handling conversations automatically through OpenAI's Real-Time Voice API. Simply tell Claude what you want to accomplish and it will call and manage the entire conversation for you.

COA Goldfish MCP

A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.

TrendRadar

An aggregator for real-time hot topics and news from major social and financial platforms like Zhihu, Bilibili, and Wall Street News. It features an MCP server that allows AI models to fetch and analyze trending information for automated insights.