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This Discord Raw API MCP server, developed by hanweg, provides a flexible interface for AI assistants to interact with Discord's API. Built using Python and the discord.py library, it supports both REST API calls and slash command syntax, offering a unified approach to Discord bot development. The implementation stands out by abstracting Discord's complex API structure into a more accessible format, allowing for easier integration with AI systems. By exposing Discord's capabilities through standardized MCP endpoints, it enables AI assistants to perform a wide range of Discord operations, from message sending to role management. This server is particularly useful for scenarios requiring dynamic Discord bot behavior, such as moderation tools, custom command handlers, or AI-driven community management systems.

Provides current weather and forecast data for any city via OpenWeatherMap. Can be used with Ollama or Claude Desktop for natural-language weather queries.

Query FIFA World Cup 2026 data including matches, standings, teams, and statistics.

MCP server for Lexware Office (formerly Lexoffice): invoices, quotations, contacts, vouchers and financial queries for German small-business accounting

Anki-MCP provides a programmatic interface to Anki flashcard functionality through the AnkiConnect API, enabling AI assistants to interact with Anki decks, cards, notes, models, and media without understanding the underlying API details. Developed by ujisati, this Python-based MCP server organizes AnkiConnect actions into logical service groups (deck, note, card, model, and media) and exposes them as tools with clear descriptions and parameter validation. The implementation handles all communication with the local Anki desktop application, making it particularly valuable for educational workflows that involve creating, managing, and studying flashcards through natural language interactions.

Enables interaction with Google Analytics APIs to fetch reports, manage properties, data streams, conversion events, and custom dimensions/metrics through OAuth2 authentication.

DefectDojo MCP server provides a bridge to the DefectDojo vulnerability management system, enabling AI assistants to interact with security findings, products, and engagements. Developed by jamiesonio, this implementation offers tools for retrieving, searching, and updating vulnerability data through an asynchronous HTTP client that handles authentication and error management. The server exposes specialized functions for managing security findings (including status updates and note addition), listing products, and handling engagement lifecycle operations. Built with Python 3.12 and the FastMCP framework, it's particularly valuable for security teams who want to integrate vulnerability management workflows into their AI assistant interactions.

Enables clinical teams to list patients with active sharing and read glucose, graph, logbook, and statistics from LibreLink Up, with secure magic-link login and encrypted credentials.

Optimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.

Provides OSINT (Open Source Intelligence) capabilities for EVE Online using multiple APIs including ESI, EveWho, and zKillboard to gather comprehensive intelligence on characters, corporations, and alliances by name. Built by kongyo2 with TypeScript and FastMCP, the implementation automatically resolves entity names to IDs and combines data from official EVE APIs with third-party intelligence sources to deliver detailed reports including character corporation history, security status, killmail data, corporation member lists with activity metrics, and alliance composition with growth trends. Features robust retry logic with exponential backoff, rate limiting compliance, and structured intelligence reporting, making it valuable for EVE Online players conducting reconnaissance operations, alliance leadership analyzing member activity and recruitment patterns, and security teams investigating potential threats or tracking player movements across New Eden.

Enables AI assistants to interact with GitLab by wrapping the REST API v4 into executable tools for repository and branch management. It supports operations like creating projects, managing branches, and retrieving user information through the Model Context Protocol.

A minimal Model Context Protocol server starter in TypeScript that enables building custom AI tools for assistants like Claude and Cursor, with a single example tool and easy setup.

Enables efficient code navigation and retrieval through natural language search, BM25 ranking, and fuzzy matching across multiple programming languages. It drastically reduces token usage by allowing Claude to query specific code symbols and logic instead of reading entire files.

MCP server for the MSPbots Forms/Survey API, enabling agents to create, publish, and manage surveys, share links, and analyze responses.

MCP server for LobsterVault, enabling AI agents to securely store, retrieve, manage, and share encrypted secrets with KMS envelope encryption, including environment variable injection.

Enables Claude Desktop to interact with Miro boards to list projects, retrieve board items like sticky notes and frames, and search for specific text content. It facilitates seamless board management and information retrieval through the Miro API.

An MCP server for semantic code search using Qdrant vector database, enabling natural language queries to find relevant code snippets across indexed codebases.

The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

An MCP server that enables MCP clients like Claude Code to work with SAP ABAP objects over RFC, reaching systems without HTTP/ADT endpoints such as classic ECC/R/3.