Discover Awesome MCP Servers

mcp-oracle-h

Mandatory human approval gate for autonomous AI agents. Before any critical, irreversible, or financially significant action executes — file deletion, production deployment, financial transaction — the agent calls oracle_validate. A human receives a real-time Telegram notification with full context and taps Approve or Reject. The agent waits for the decision before proceeding.

Teradata MCP Server by CData

Teradata MCP Server by CData

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

Một triển khai máy chủ MCP (MCP Server) tích hợp API Balldontlie, để cung cấp thông tin về người chơi, đội và trận đấu cho NBA, NFL và MLB.

Content Automation MCP Server

Enables automated content generation and scheduling for Instagram and Pinterest via the Late API. It allows users to manage publications, generate AI-powered captions, and schedule posts or stories using natural language commands.

Grokipedia MCP Server

Enables searching and retrieving content from Grokipedia, including article content, citations, related pages, and section extraction with built-in research workflows.

Microsoft 365 Core MCP Server

Universal Microsoft Graph API gateway providing access to 1000+ endpoints for managing Microsoft 365 services including Teams, SharePoint, Exchange, Intune, security, compliance, and Azure AD with dynamic tool generation and advanced features like batch operations and webhooks.

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 referring to **M**achine **C**omprehension **P**latforms or similar tools) 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, along with: * **Tool Name (or Category):** A specific tool or a general category of tools. * **Confidence Score (0-100%):** My confidence in the tool's suitability. * **Rationale:** Why I believe the tool is appropriate for that step. 4. **Iteration:** I will be open to feedback and will adjust my recommendations based on your input. **Example Scenario (to illustrate my approach):** **User:** "I need to analyze customer reviews to identify common complaints about a new product." **My Response:** Okay, I understand. To analyze customer reviews and identify common complaints, we can break this down into the following steps: **Step 1: Data Collection and Preprocessing** * **Description:** Gather customer reviews from various sources (e.g., website, social media, app stores) and clean the data (remove irrelevant characters, handle missing values, etc.). * **Tool Recommendation:** * **Tool Name:** Web Scraping Tools (e.g., Beautiful Soup, Scrapy) and Text Cleaning Libraries (e.g., NLTK, spaCy) * **Confidence Score:** 95% * **Rationale:** Web scraping tools are essential for collecting data from online sources. Text cleaning libraries provide functions for removing noise and preparing the text for analysis. **Step 2: Sentiment Analysis** * **Description:** Determine the sentiment (positive, negative, neutral) expressed in each review. * **Tool Recommendation:** * **Tool Name:** Sentiment Analysis APIs (e.g., Google Cloud Natural Language API, Azure Text Analytics, VADER) * **Confidence Score:** 90% * **Rationale:** Sentiment analysis APIs are specifically designed to automatically detect the sentiment of text. They are generally accurate and easy to integrate. **Step 3: Topic Modeling and Keyword Extraction** * **Description:** Identify the main topics discussed in the negative reviews and extract relevant keywords. * **Tool Recommendation:** * **Tool Name:** Topic Modeling Libraries (e.g., Gensim, scikit-learn) and Keyword Extraction Algorithms (e.g., RAKE, YAKE) * **Confidence Score:** 85% * **Rationale:** Topic modeling can help group reviews based on common themes. Keyword extraction identifies the most important words and phrases related to those themes. **Step 4: Summarization and Reporting** * **Description:** Summarize the common complaints and generate a report. * **Tool Recommendation:** * **Tool Name:** Text Summarization Tools (e.g., Hugging Face Transformers, BART) and Reporting Tools (e.g., Tableau, Power BI) * **Confidence Score:** 80% * **Rationale:** Text summarization can condense the key issues into a concise summary. Reporting tools allow you to visualize and present the findings in a clear and understandable format. Now, please provide me with the problem you want to solve, and I will start breaking it down and recommending appropriate tools. I'm ready when you are!

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.

Agentset

Một nền tảng mã nguồn mở cho Retrieval-Augmented Generation (RAG). Tải tài liệu lên và truy vấn chúng ⚡

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.

AndroidTVMCP

A Model Context Protocol server that enables AI assistants to control Android TV devices, providing remote control functionality like navigation, playback control, app management, and device status monitoring.

QR for Agent

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Semiconductor Component RAG Search

Enables semantic search and question-answering over semiconductor component data stored in Excel files using ChromaDB vector database and HuggingFace language models through a RAG pipeline.

LexGuard MCP

Enables AI to search and retrieve South Korean legal information from the National Law Information Center. It allows users to look up specific laws, articles, and detailed legal provisions using natural language queries.

QuantClaw Data

Provides access to a comprehensive financial intelligence platform featuring real-time market data, quantitative models, and alternative data sources. It enables users to perform advanced financial analysis including options analytics, portfolio modeling, and SEC filing research.

KnowledgeGraph MCP Server

Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.

Vercel MCP Server Template

A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and getting weather data to demonstrate basic functionality and API integration patterns.

AllTrails MCP Server

A Model Context Protocol (MCP) server that provides access to publicly available AllTrails data, allowing you to search for hiking trails and get detailed trail information directly through Claude Desktop.

Figma MCP Server

A server that converts Figma designs into pseudo-code structures optimized for LLMs to understand design context, allowing easy extraction of visual elements and code-like representations from Figma files.

LND MCP Server

Kết nối đến các nút Lightning Network và cho phép truy vấn thông tin kênh bằng ngôn ngữ tự nhiên, cung cấp cả phản hồi dễ đọc và dữ liệu JSON có cấu trúc thông qua Giao thức Ngữ cảnh Mô hình (Model Context Protocol).

Futarchy MCP Server

A server implementation that enables interaction with the Futarchy protocol on Solana, allowing users to manage DAOs and proposals through both API endpoints and Cursor's chat interface.

Video Editor MCP

Enables users to upload, search, edit, and generate videos through Video Jungle, supporting custom URI schemes and integration with video editing tools like DaVinci Resolve.

MCP Server on AVAIL DA

Một máy chủ MCP để tương tác với Avail DA

Kali Metasploit MCP Server

Enables interaction with Metasploit Framework for authorized security testing, including exploit searches, payload management, network scanning with nmap, and database operations for penetration testing workflows.

Terragrunt GCP Tool MCP

Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.

McpDocServer

Một máy chủ tài liệu dựa trên giao thức MCP được thiết kế cho nhiều framework phát triển khác nhau, cung cấp khả năng thu thập tài liệu đa luồng, tải tài liệu cục bộ, tìm kiếm từ khóa và truy xuất chi tiết tài liệu.