Discover Awesome MCP Servers

Extend your agent with 26,683 capabilities via MCP servers.

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Basic MCP Weather Tool

Basic MCP Weather Tool

A simple educational MCP server implemented in Node.js that allows users to fetch weather information for cities using the Open-Meteo API.

SharePoint MCP Server by CData

SharePoint MCP Server by CData

SharePoint MCP Server by CData

Pylpex MCP

Pylpex MCP

Enables execution and analysis of Pylpex code through an interpreter, supporting code execution, tokenization, variable inspection, and providing language documentation and examples.

whatsapp-mcp

whatsapp-mcp

An MCP server that connects Claude to WhatsApp for reading group messages, searching conversations, and sending messages. It includes advanced tools for analyzing group activity patterns, member statistics, and syncing message history.

GitHub Tools MCP Server

GitHub Tools MCP Server

Model Context Protocol server that enables interaction with GitHub repositories, issues, pull requests, and search functionality through natural language.

CongressMCP-full

CongressMCP-full

The open Congress.gov MCP server. Provides comprehensive access to the Congress.gov API through 6 organized toolsets, enabling AI systems to retrieve and interact with legislative data from the United States Congress with a clean, unified interface.

Hunter MCP Server

Hunter MCP Server

Provides integration between Hunter API and LLM providers supporting the MCP protocol, allowing natural language interaction with Hunter B2B data for finding and managing company and people information.

IoTDB MCP Server for Tree Model

IoTDB MCP Server for Tree Model

iotdb-mcp-server para modelo de árbol

GovCon

GovCon

Federal procurement intelligence toolkit that searches SAM.gov contract opportunities, analyzes agency spending patterns, tracks competitor wins, and monitors small business set-aside programs (8a, HUBZone, SDVOSB, WOSB). 4 tools using SAM.gov and USASpending.gov data.

Oracle MCP Server

Oracle MCP Server

Execute SQL queries, browse schemas, and analyze Oracle Database performance through an AI-compatible Model Context Protocol server.

Remote MCP Server on Cloudflare

Remote MCP Server on Cloudflare

Agentset

Agentset

Una plataforma de código abierto para la Generación Aumentada por Recuperación (RAG). Sube documentos y consulta sobre ellos ⚡

telegram-bot-mcp

telegram-bot-mcp

Full-featured Telegram Bot API server for MCP (Model Context Protocol). 174 tools covering the entire Bot API — messages, chats, stickers, payments, forums, stories, and more.

mcp_server

mcp_server

Tally MCP Server by CData

Tally MCP Server by CData

Tally MCP Server by CData

Shared Memory MCP Server

Shared Memory MCP Server

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

clawd-mcp

clawd-mcp

Bridges Cursor and Claude Desktop with the OpenClaw and Moltbook ecosystems to manage personal AI agents and communication gateways across platforms like WhatsApp and Discord. It provides MCP tools to invoke agents, manage sessions, and handle social agent interactions within a secure, virtualized environment.

Jinko Hotel Booking MCP Server

Jinko Hotel Booking MCP Server

Enables AI agents to search, browse, and book hotels from a database of 2 million properties worldwide. Provides comprehensive hotel search capabilities with location lookup, filtering by amenities, detailed property information, and integrated booking functionality.

Infobip

Infobip

Infobip MCP Servers let you build AI agents to interact with the Infobip platform through the Model Context Protocol (MCP). Connect to Infobip and enable your agents to perform actions, such as sending messages over channels like SMS, WhatsApp, or Viber, or managing customer data in a controlled, pr

R-Server MCP

R-Server MCP

MCP Server

MCP Server

A Dify endpoint plugin that converts a Dify app into a MCP server, allowing communication with MCP clients like Cherry Studio via Streamable HTTP or legacy SSE protocols.

Google Calendar MCP Server

Google Calendar MCP Server

Un servidor MCP que utiliza la API de Google Calendar.

Mysql-mcp

Mysql-mcp

A specialized MySQL MCP server for Cursor that enables users to query table structures, execute SQL, and generate database documentation. It features multiple security modes to ensure safe interaction while providing tools for database overviews and query caching.

Jewish Library

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

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

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.

Summary MCP

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

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.

CurrencyAndOil

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

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!**