Discover Awesome MCP Servers

Jina AI Search MCP Server

A Model Context Protocol server implementation that provides a standardized interface for interacting with Jina AI's Reader and Search APIs.

OCD - Organized Context Datastore (MCP)

Give your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.

Quran Cloud MCP Server

Connects LLMs to the Quran API (alquran.cloud) to retrieve accurate Quranic text on-demand, reducing hallucinations when working with sensitive religious content.

MCP Voice Notification

Provides voice notifications using Grok's text-to-speech API to alert users when Claude Code completes tasks, with support for both local and remote server configurations.

view-image-mcp

Enables Claude Code to display images inline within supported terminals like Ghostty and Kitty using the Kitty graphics protocol on macOS. It allows users to view various image formats including PNG, JPEG, GIF, and WebP directly in the terminal interface.

Ressl MCP Server - Advanced File Search

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

monarch-mcp-server

MCP Server for Monarch Money, utilizing an unofficial api.

FastMCP Webinar Demo Server

An MCP server with six tools including web search, URL fetching, math calculation, and note management. Designed for a live-coding demo integrating FastMCP with LangGraph ReAct agents.

MCP Calculator Server

A simple MCP server that provides an add_numbers tool for addition operations, with setup instructions for VSCode extensions like Roo Code or Cline.

qa-toolkit-mcp

An MCP server that reads test reports and provides regression analysis tools for comparing runs, identifying regressions, fixes, and persistent failures.

fallnote-mcp

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources for state folding, κ-band classification, and fold operations in any MCP client.

MCP Server for Awesome-llms-txt

Okay, I understand. You want me to create an MCP (presumably referring to a Minecraft Server Provider) server setup for the SecretiveShell/Awesome-llms-txt project. You also want me to integrate documentation directly into our conversation, using MCP resources if possible. This is a complex request, as it involves several steps and assumptions: **Assumptions:** * **MCP (Minecraft Server Provider):** I'm assuming you want to host the `SecretiveShell/Awesome-llms-txt` project on a Minecraft server, likely using a mod or plugin that allows you to interact with the project's functionality within the Minecraft environment. This is an unusual request, as `Awesome-llms-txt` is a collection of resources related to Large Language Models and text processing, not typically something run *inside* a Minecraft server. Please confirm if this is your intention. If not, please clarify what you mean by "MCP." * **Interaction Method:** I'm assuming you want to interact with the LLMs and text processing capabilities of `Awesome-llms-txt` *through* the Minecraft server. This would require a bridge between the Minecraft environment and the Python code (or whatever language the LLMs are implemented in). * **MCP Resources:** You want me to use resources provided by the Minecraft Server Provider (MCP) to document the process. This is difficult without knowing *which* MCP you are using. Common MCPs include: * **Apex Hosting** * **Shockbyte** * **MCProHosting** * **BisectHosting** * **GGServers** * ...and many others. **Challenges:** * **Security:** Exposing LLM functionality through a Minecraft server could pose significant security risks. Careful consideration must be given to input validation, rate limiting, and access control. * **Performance:** Running LLMs can be resource-intensive. A Minecraft server might not be the ideal environment for this, especially if it's already handling many players. * **Implementation Complexity:** Bridging the gap between Minecraft and the LLM code will require significant programming effort. **Here's a general outline of the steps involved, along with considerations for documentation (assuming you clarify the MCP and confirm the Minecraft integration):** **1. Choose an MCP and Server Type:** * **MCP Selection:** Tell me which MCP you're using. This will allow me to find relevant documentation. * **Server Type:** Decide whether you want a Vanilla, Bukkit/Spigot/Paper, or Forge server. Bukkit/Spigot/Paper are common for plugins, while Forge is common for mods. A plugin-based approach is likely easier for this project. **Documentation (MCP Resources):** * **MCP Website:** The MCP's website will have documentation on server setup, configuration, and plugin/mod installation. * **Knowledge Base/FAQ:** Look for articles on common server management tasks. * **Support Tickets:** If you get stuck, contact the MCP's support team. **2. Set Up the Minecraft Server:** * **Follow the MCP's instructions** to create and configure your server. * **Choose a suitable server location** based on your target audience. * **Configure server settings** (e.g., difficulty, game mode, player limits). **Documentation (MCP Resources):** * **Server Setup Guides:** The MCP will provide step-by-step guides for setting up your server. * **Configuration File Reference:** Documentation on the `server.properties` file and other configuration files. **3. Develop the Minecraft Plugin/Mod (The Hard Part):** * **Choose a programming language:** Java is the standard for Minecraft plugins. * **Use the Bukkit/Spigot/Paper API (for plugins) or the Forge API (for mods):** These APIs allow you to interact with the Minecraft world. * **Implement a communication mechanism:** This is how your plugin/mod will communicate with the LLM code. Possible options include: * **Sockets:** Open a socket connection between the Minecraft server and the LLM server. * **HTTP Requests:** The plugin/mod can send HTTP requests to an API endpoint that exposes the LLM functionality. * **Message Queues (e.g., RabbitMQ, Kafka):** A more robust solution for asynchronous communication. * **Implement input validation and security measures:** Protect your server from malicious input. * **Implement rate limiting:** Prevent abuse of the LLM functionality. * **Implement access control:** Restrict access to the LLM functionality to authorized players. **Documentation (General Programming Resources):** * **Bukkit/Spigot/Paper API Documentation:** [https://www.spigotmc.org/wiki/spigot-plugin-development/](https://www.spigotmc.org/wiki/spigot-plugin-development/) * **Forge API Documentation:** [https://mcforge.readthedocs.io/en/latest/](https://mcforge.readthedocs.io/en/latest/) * **Java Programming Tutorials:** Numerous online resources are available. * **LLM API Documentation:** Refer to the documentation for the specific LLMs you are using. **4. Deploy the Plugin/Mod and LLM Code:** * **Install the plugin/mod on your Minecraft server:** Follow the MCP's instructions for installing plugins/mods. * **Deploy the LLM code to a separate server or service:** This could be a cloud server, a virtual machine, or even your local machine (for testing). * **Configure the plugin/mod to connect to the LLM server/service.** **Documentation (MCP Resources):** * **Plugin/Mod Installation Guides:** The MCP will provide instructions on how to install plugins/mods. **5. Test and Refine:** * **Thoroughly test the integration** to ensure it works as expected. * **Monitor performance** and optimize the code as needed. * **Address any security vulnerabilities** that are discovered. **Example (Conceptual - Using HTTP Requests):** Let's say you want to use the OpenAI API to generate text. Your Minecraft plugin could have a command like `/llm <prompt>`. When a player executes this command, the plugin would: 1. **Validate the input:** Check the length of the prompt, etc. 2. **Send an HTTP request to the OpenAI API:** Include the prompt in the request. 3. **Receive the response from the OpenAI API:** This will be the generated text. 4. **Display the generated text to the player in the Minecraft chat.** **Indonesian Translation of Key Terms:** * **MCP (Minecraft Server Provider):** Penyedia Server Minecraft * **Plugin:** Plugin * **Mod:** Modifikasi (Mod) * **Server:** Server * **Documentation:** Dokumentasi * **Configuration:** Konfigurasi * **API (Application Programming Interface):** Antarmuka Pemrograman Aplikasi (API) * **HTTP Request:** Permintaan HTTP * **Socket:** Soket * **Security:** Keamanan * **Performance:** Kinerja **Next Steps:** 1. **Please confirm that you want to integrate `Awesome-llms-txt` into a Minecraft server.** If not, please clarify your goal. 2. **Tell me which MCP you are using.** 3. **Tell me which LLMs you plan to use.** Once I have this information, I can provide more specific and helpful guidance. This is a challenging project, but I'm here to help you through it.

dnomia-knowledge

Local knowledge engine for codebases with hybrid search, knowledge graph, and interaction tracking, enabling Claude Code to search and interact with project knowledge locally.

md-converter-mcp

Converts files (PDF, DOCX, PPTX, XLSX, images via OCR) and URLs to Markdown, enabling AI clients to read them via a single MCP tool.

Jules MCP Server

Enables orchestration of multiple Jules AI workers for tasks like code generation, bug fixing, and review using the Google Jules API. It features git integration, a shared memory system, and real-time activity monitoring for complex, multi-agent development workflows.

Anaplan MCP

An MCP server that connects AI assistants to Anaplan's Integration API v2, enabling users to browse workspaces, manage model data, and execute bulk operations like imports and exports. It provides 25 structured tools to navigate model hierarchies and perform transactional tasks through natural language.

google-mail-mcp

Provides a standardized interface for interacting with Google Mail tools and services through the Model Context Protocol, enabling email management via natural language.

fleet-mcp

A unified MCP server for managing hosting fleets, enabling natural language control over SSH, WordPress, Cloudflare, MySQL, GitHub, Docker, Coolify, and more.

AMapMCP

A FastAPI and fastmcp based Amap Navigation MCP tool that provides interactive map navigation with real-time route planning and WebSocket communication.

htb-app-mcp

Enables interaction with Hack The Box App services including machines, challenges, sherlocks, and more through the HTB API v4.

Second Opinion MCP

Enables Claude to consult over 17 AI platforms and 800,000+ models to provide alternative perspectives, code reviews, and diverse feedback. It features a unique personality system and supports multi-AI group discussions and debates directly within the chat interface.

mcp-video

An MCP server that enables LLMs to analyze video content by extracting frames as base64 images and retrieving video metadata using ffmpeg.

java-jdtls-mcp-server

A high-performance MCP server that bridges AI agents with Java codebases, providing professional-grade Java language intelligence via Eclipse JDT.LS.

Scanpy-MCP

Provides a natural language interface for scRNA-Seq analysis using the Scanpy library, supporting operations such as data preprocessing, clustering, and visualization. It enables AI agents and clients to perform complex single-cell transcriptomics workflows through the Model Context Protocol.

PodMaster

Local podcast transcription, embedding, and semantic search with an MCP server for AI assistant integration. All processing runs on your machine.

Agent Coherence — Stale Write Guard (FS)

Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified.

mcp-docs

Generic MCP server that exposes Markdown documentation to LLMs, enabling them to search and answer questions about any software documentation.

SourceSync.ai MCP Server

Server Protokol Konteks Model yang memungkinkan model AI berinteraksi dengan platform manajemen pengetahuan SourceSync.ai untuk mengelola dokumen, memasukkan konten dari berbagai sumber, dan melakukan pencarian semantik.

Jira MCP Server

Enables Jira integration for comprehensive issue management, board operations, time tracking, and project management through natural language.

Stellar Agent Merchant Lab

An MCP server for AI agents to purchase resources via Stellar testnet USDC, handling quotes, purchase URLs, and merchant receipts.