Latest MCP Servers

Provides OpenCV image and video processing capabilities via the Model Context Protocol, enabling AI assistants to perform tasks such as image manipulation, object detection, tracking, and video analysis.

Enables LLMs to perform travel-related tasks such as location search, place details lookup, route calculation, and timezone retrieval using Google Maps services.

Provides standardized tools for LLMs to interact with Redis key-value stores, enabling set, get, delete, and list operations via the Model Context Protocol.

Generate chart images via QuickChart.io using MCP tools, supporting a wide range of chart types and customizable configurations.

Create, read, and manipulate Microsoft Word documents via a standardized interface for AI assistants.

Provides programmatic creation, editing, and exporting of Microsoft Visio diagrams through a standardized API using Python and the COM interface.

Enables creation, editing, and advanced manipulation of PowerPoint presentations via a MCP server, leveraging python-pptx and a modular toolset.

Creates configurable MCP servers on the fly and generates complete, runnable Python code for FastMCP services, allowing rapid prototyping and deployment of custom tool‑rich APIs.

Provides a simple interface to query documents through a Langflow backend, enabling document Q&A via the Model Context Protocol.

Provides JSON querying and manipulation capabilities via a Model Context Protocol (MCP) server, enabling LLMs to retrieve and transform JSON data using JSONPath expressions and extended operations.

Provides image generation capabilities using the Replicate Flux model.

Provides real-time GUI dialogs for AI assistants to gather user input, present choices, confirmations, and feedback, enabling seamless human‑in‑the‑loop interactions.

Provides a Model Context Protocol server that enables AI assistants to send, read, search, and organize Gmail messages, supporting attachments, label and filter management, and automatic OAuth2 authentication.

Dynamically creates MCP servers from web API configurations, enabling seamless integration of REST, GraphQL, or other web services into AI assistant tools.

Enables MCP‑compatible AI assistants to discover, register, communicate with, and manage tasks on Agent‑to‑Agent (A2A) agents through a unified server interface.

Provides a Model Context Protocol (MCP) server for Algorand blockchain interactions and a client library for wallet management and transaction signing, enabling seamless integration of Algorand data and tools into LLM-powered agents.

Provides access to Team Fight Tactics match history and detailed match information via the Model Context Protocol for integration with Claude Desktop and other tools.

Provides access to Shopify store data via GraphQL through an MCP server, enabling product, customer, and order management directly from compatible MCP hosts.

Enables interaction with the Datadog API through a Model Context Protocol server, providing access to monitors, dashboards, metrics, logs, events, and incident data.

Provides MCP tools to install, remove, update, and query apt packages on Linux through a TypeScript server.

Provides Figma layout and styling information to AI coding agents, enabling one‑shot implementation of designs in any framework.

Create fast, free lip‑sync videos for digital avatars by providing audio or text, with optional avatar generation from images or videos.

Connects to a Kubernetes cluster and offers a unified MCP interface for kubectl, Helm, port‑forwarding, diagnostics, and non‑destructive read‑only mode.

Provides AI‑powered quick prompt generation and an interactive guided Q&A to craft detailed prompts for generative models.

Interact with Twitter to post tweets and search tweets programmatically via an MCP server.

Provides fast, free real‑time web search and access to premium data from trusted media brands, enabling AI agents to retrieve news, market data, sports, entertainment, weather, and more.

A Model Context Protocol server that proxies DeepSeek's language models, enabling seamless integration with MCP‑compatible applications.

Enforces .mcpignore patterns to restrict MCP client file system access while providing full read/write and directory operations.

Provides real-time access to PostgreSQL and Supabase database schemas for AI‑IDEs via the Model Context Protocol, enabling smarter code generation.

Enables LLM agents to manage serverless cron jobs through the Cronlytic API, offering health checks, full CRUD operations, job control, log access, and ready‑to‑use prompts.

Provides access to OpenAI's websearch capability through the Model Context Protocol, enabling AI assistants to retrieve up-to-date web information during conversations.

Enables AI assistants to launch the Godot editor, run projects, capture debug output, and programmatically control project execution through a standardized interface.