Discover Awesome MCP Servers

mechanic-mcp

Enables searching, fetching, and customizing Mechanic tasks and documentation for Shopify automation. Provides offline access to bundled task library and docs with tools for task code, docs content, and similar task suggestions.

사주 MCP 대시보드

Korean traditional saju (four pillars) fortune analysis MCP server with a premium web GUI dashboard for local data persistence, 100-point scoring, and history management.

Multi-Domain Booking MCP Server

Enables booking for movies, flights, trains, and buses with a 2-step confirmation flow and idempotency keys.

WuWa MCP Server

Enables querying detailed information about characters, echoes, and character profiles from the Wuthering Waves game, returning results in LLM-optimized Markdown format.

mcp-maritime

Provides real-time maritime weather data, tropical cyclone warnings, and route calculations for AI agents.

MCP Prompt Optimizer

This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.

TickTick MCP

A remote MCP server that enables Claude to create and manage TickTick to-dos using the TickTick Open API. It supports nine tools for projects, tasks, and sections, and works across all Claude platforms (web, mobile, desktop, Cowork).

Weather Israel MCP

Enables fetching weather forecasts for Israeli cities via browser automation with Playwright, no API needed.

phren

A persistent memory server for AI agents that stores findings, tasks, and patterns in Markdown files within a git repository, enabling context injection across multiple AI tools.

Whoop MCP Server

Exposes Whoop fitness data (recovery, sleep, strain, workouts) to Claude for use as a daily training coach, enabling natural language queries about your health metrics and training readiness.

flashcard-mcp

A lightweight MCP server that adds spaced-repetition flashcards (SM-2) to AI assistants, storing data locally in SQLite and enabling card creation, review, and scheduling.

framefetch

Agent-first video-data API + MCP across 6 platforms (YouTube/Shorts, TikTok, Reddit, Instagram, Pinterest): metadata, insights, Whisper transcript, and parametric frames. Pay-per-call via x402 (USDC) or Stripe.

Brickognize MCP Server

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

Interactive Feedback MCP

Enables AI assistants to request user feedback and confirmation to prevent speculative tool calls and reduce resource usage. It streamlines task completion by consolidating multiple potential steps into a single, feedback-aware process.

Expense_Tracker_MCP

An AI-powered expense management server that enables adding, searching, and analyzing expenses using natural language through the Model Context Protocol.

Anonymix MCP

Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.

Copper CRM MCP Server

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Continuo Memory System

Enables persistent memory and semantic search for development workflows with hierarchical compression. Store and retrieve development knowledge across IDE sessions using natural language queries, circumventing context window limitations.

kef-mcp

MCP server for controlling KEF wireless speakers (LSX II, LS50 Wireless II, LS60) and playing Spotify on them via local network and Spotify Web API.

Seleniumboot MCP

Python MCP server for Selenium WebDriver — 84 tools for browser automation, element interactions, assertions, self-healing locators, and codegen for Java TestNG / JUnit 5 / Cucumber / pytest / C# NUnit / Playwright and CI pipelines (GitHub Actions / Jenkins / GitLab CI). No ChromeDriver setup needed.

commerce-ops-harness

Enables AI agents to investigate and resolve operational exceptions across orders, payments, inventory, and fulfillment through a multi-system truth and guarded actions.

agora-mnemo

mnemo — an MCP server for agent memory with a first-class correction & erasure channel (revert, lineage-aware retraction, tamper-evident deletion receipts). Zero dependencies, 12 tools over stdio

StarUML MCP Server

Enables creating diagrams or generating code from diagrams in StarUML via prompts.

Intervals.icu MCP Server

Espelho de

Comedy MCP Server

Okay, here's a breakdown of how you could approach building an MCP (presumably meaning "Minecraft Protocol") server using the C# SDK, enhanced with jokes from JokeAPI to add humor to comments or messages. This is a conceptual outline, as a full implementation would be quite extensive. **Conceptual Outline** 1. **Project Setup (C#):** * Create a new C# console application or class library project in Visual Studio or your preferred IDE. * Install necessary NuGet packages: * A Minecraft Protocol library (e.g., `Minecraft.Net`, `MineSharp`, or similar). The specific package will depend on the Minecraft version you want to support. Search NuGet for "Minecraft Protocol C#" to find suitable options. **Important:** Choose a library that is actively maintained and supports the Minecraft version you're targeting. * `Newtonsoft.Json` (for handling JSON responses from JokeAPI). * `System.Net.Http` (for making HTTP requests to JokeAPI). 2. **Minecraft Protocol Handling:** * **Server Initialization:** Use the chosen Minecraft Protocol library to create a server instance. This will involve: * Binding to a specific IP address and port. * Handling client connections. * Authentication (if required). * **Packet Handling:** Implement handlers for relevant Minecraft packets. The most important ones for this scenario are likely: * `ChatMessage` (or equivalent, depending on the library): This packet contains the text of messages sent by players. * `PlayerList` (or equivalent): To keep track of connected players. * **Player Management:** Maintain a list of connected players and their associated data (e.g., username, UUID). 3. **JokeAPI Integration:** * **HTTP Client:** Create an `HttpClient` instance to make requests to JokeAPI. It's good practice to reuse the same `HttpClient` instance for multiple requests. * **Joke Retrieval Function:** Create a function that: * Makes an HTTP GET request to the JokeAPI endpoint (e.g., `https://v2.jokeapi.dev/joke/Programming,Christmas?blacklistFlags=nsfw,racist,sexist,explicit&safe-mode`). Adjust the categories, blacklist flags, and safe mode settings as needed. * Parses the JSON response from JokeAPI using `Newtonsoft.Json`. * Extracts the joke text (either the `joke` property for single-part jokes or the `setup` and `delivery` properties for two-part jokes). * Handles potential errors (e.g., network issues, invalid JSON). * **Example Joke Retrieval:** ```csharp using System; using System.Net.Http; using System.Threading.Tasks; using Newtonsoft.Json; public class JokeApiHelper { private static readonly HttpClient client = new HttpClient(); public static async Task<string> GetJokeAsync() { try { HttpResponseMessage response = await client.GetAsync("https://v2.jokeapi.dev/joke/Programming,Christmas?blacklistFlags=nsfw,racist,sexist,explicit&safe-mode"); response.EnsureSuccessStatusCode(); // Throw exception if not a success code. string responseBody = await response.Content.ReadAsStringAsync(); dynamic jokeData = JsonConvert.DeserializeObject(responseBody); if (jokeData.type == "single") { return jokeData.joke; } else if (jokeData.type == "twopart") { return $"{jokeData.setup}\n{jokeData.delivery}"; } else { return "No joke found."; } } catch (HttpRequestException e) { Console.WriteLine($"Exception: {e.Message}"); return "Error retrieving joke."; } catch (JsonReaderException e) { Console.WriteLine($"JSON Exception: {e.Message}"); return "Error parsing joke."; } } } ``` 4. **Comment Enhancement Logic:** * **Intercept Chat Messages:** In your `ChatMessage` packet handler, intercept the text of the message. * **Trigger Condition:** Determine when to add a joke. Possibilities include: * A specific command (e.g., `/joke`). * A certain probability (e.g., 10% of messages get a joke appended). * Based on keywords in the message. * **Append Joke:** If the trigger condition is met: * Call the `GetJokeAsync()` function to retrieve a joke. * Append the joke to the original message text. Consider adding a separator (e.g., " - Joke: ") to distinguish the joke from the original message. * **Resend Message:** Send the modified `ChatMessage` packet back to the client (or to all clients, depending on your desired behavior). Make sure you're using the correct method from your Minecraft Protocol library to send packets. 5. **Error Handling and Logging:** * Implement robust error handling throughout the code. Catch exceptions that might occur during network operations, JSON parsing, or Minecraft Protocol handling. * Use a logging framework (e.g., `Serilog`, `NLog`, or even just `Console.WriteLine`) to log important events, errors, and debugging information. 6. **Configuration:** * Externalize configuration settings (e.g., server IP address, port, JokeAPI categories, blacklist flags) into a configuration file (e.g., `appsettings.json`) or environment variables. This makes it easier to modify the server's behavior without recompiling the code. **Example Integration (Illustrative):** ```csharp // Inside your ChatMessage packet handler: string originalMessage = /* Get the message text from the packet */; if (originalMessage.StartsWith("/joke")) { string joke = await JokeApiHelper.GetJokeAsync(); string enhancedMessage = $"{originalMessage} - Joke: {joke}"; // Send the enhancedMessage back to the client (or all clients). // Use the appropriate method from your Minecraft Protocol library. // Example (assuming a hypothetical SendChatMessage function): // SendChatMessage(client, enhancedMessage); } else { // Send the original message as is. // SendChatMessage(client, originalMessage); } ``` **Important Considerations:** * **Minecraft Protocol Library:** The choice of Minecraft Protocol library is crucial. Research and select one that is well-documented, actively maintained, and supports the Minecraft version you want to target. The code will vary significantly depending on the library you choose. * **Asynchronous Operations:** Use `async` and `await` for network operations (e.g., HTTP requests to JokeAPI, sending/receiving Minecraft packets) to avoid blocking the main thread and keep the server responsive. * **Rate Limiting:** Be mindful of JokeAPI's rate limits. Implement a mechanism to avoid exceeding the limits and getting your server blocked. Consider caching jokes locally to reduce the number of API calls. * **Security:** If you're handling authentication, follow security best practices to protect player accounts. * **Testing:** Thoroughly test your server to ensure it handles different scenarios correctly and doesn't crash. * **User Experience:** Consider the user experience. Don't bombard players with jokes too frequently. Provide a way for players to disable the joke feature if they find it annoying. This is a high-level overview. Building a full MCP server with these features would require a significant amount of coding and testing. Start with a basic Minecraft Protocol server implementation and then gradually add the JokeAPI integration and comment enhancement logic. Remember to consult the documentation for your chosen Minecraft Protocol library and JokeAPI for specific details and instructions. Good luck!

real-estate-analyzer

Analyzes real estate locations using Kakao Local API, providing insights on education, transportation, convenience, nature, and future value.

ZoneMender

MCP server for AI agents to safely manage Cloudflare DNS, DMARC, SPF, BIMI, and Email Routing with dry-run-first and approval-based writes.

comfyui-mcp-server-node

A lightweight MCP server that bridges AI agents with a local ComfyUI instance to generate and iteratively refine images, audio, and video through conversational tool calls.

cl-bamboohr-mcp

A comprehensive BambooHR MCP server providing read/write access to employee data, time-off, files, analytics, and reports.

shopops-mcp

AI e-commerce operations manager for MCP. Inventory forecasting, pricing optimization, RFM customer segmentation, order anomaly detection, and automated reports for Shopify and WooCommerce.