Discover Awesome MCP Servers

hogswap-mcp

MCP server for HOGSWAP, providing DEX-aggregated quotes, unsigned swap builds, and x402 invoice payments with any assets, all non-custodial.

Plasmate

Agent-native headless browser for AI agents. Converts web pages to a Semantic Object Model (SOM) instead of raw HTML — 17x average token reduction across real-world sites (up to 117x on complex pages). Native MCP server with fetch_page, extract_text, extract_links, and full browser automation. No API key required.

Vora

First Voice AI MCP for AI Agents

web-scrapper-mcp

A portable MCP server that scrapes SPA/JS-rendered webpages and extracts structured API endpoint data. It uses headless Chromium to render JavaScript and provides tools for scraping, endpoint extraction, screenshots, and database seeding.

Crow

MCP server for read-only CrowdStrike Falcon visibility, enabling AI agents to list and retrieve detections, alerts, hosts, incidents, perform IOC lookups, and run LogScale queries.

mcp-data-analysis-agent

A local-first MCP server that provides safe, governed read-only SQL access to SQLite and PostgreSQL, with validation, limits, task tracking, and report generation.

iLoveVideoEditor MCP Server

Enables AI agents to render videos with iLoveVideoEditor by listing templates, filling in variables, submitting render jobs, polling status, and retrieving download URLs.

MegaMem

Syncs Obsidian notes into a temporal knowledge graph and exposes 23 MCP tools for AI assistants to read, search, and write to your vault, enabling persistent memory across conversations.

Amazon Business Integrations MCP Server

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

PinePaper MCP Server

Enables AI assistants to create and animate graphics in PinePaper Studio using natural language, supporting text, shapes, behavior-driven animations, procedural backgrounds, and SVG export.

cn-llm-bridge

Enables Claude Code to leverage Chinese LLMs for multimodal tasks including image analysis, audio transcription, and deep synthesis via MCP protocol.

SecureCode MCP

Standalone MCP server that provides security scanning, project mapping, and vulnerability fix generation to AI coding assistants.

blender-MCP

Enables safe, repeatable preparation of game characters in Blender through high-level MCP tools for validation, import, normalization, action renaming, and GLB export, with dry-run by default and loopback-only security.

GoHighLevel MCP Server

A Model Context Protocol (MCP) server that provides tools for managing GoHighLevel (GHL) conversations, tasks, and calendar appointments through AI assistants like Claude.

Genesis MCP Server

A template for deploying remote MCP servers on Cloudflare Workers without authentication. Provides a foundation for building custom MCP tools that can be accessed from Claude Desktop or the Cloudflare AI Playground.

Meraki Magic MCP

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

Generate Tech Stack

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

mcplex

Semantic tool-routing gateway for MCP servers that cuts 70-90% of context tokens, with RBAC, API-key auth, response caching, hot-reload config, and a real-time observability dashboard.

FGTS: Guia de Arrecadação

Enables consultation of FGTS (Brazilian severance guarantee fund) collection guides from official sources via a hosted, read-only MCP server. Supports natural language queries through any MCP client with pay-per-use credit.

database

Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite

rapid7-mcp-server

Enables querying Rapid7 InsightIDR logs using natural language through AI assistants, with support for time filtering, logset selection, and LEQL queries.

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.

stacksfinder-mcp

Tech stack recommendations for developers. Deterministic 6-dimension scoring across 30+ technologies. 4 free tools, Pro features with API key.

mark-coach-mcp

Local MCP server that turns Mark Builds Brands' YouTube knowledge into an AI coaching assistant for ecommerce and Facebook Ads.

mcp-coinbase

Browser-automated MCP server for Coinbase crypto exchange, enabling live prices, portfolio management, transaction history, and trading.

MCP GDB Server

Fornece funcionalidade de depuração GDB para uso com Claude ou outros assistentes de IA, permitindo que os usuários gerenciem sessões de depuração, definam pontos de interrupção, examinem variáveis e executem comandos GDB por meio de linguagem natural.