Latest MCP Servers

Provides access to Morningstar's Datapoint and Articles tools through MCP, enabling retrieval of financial metrics, ratings, research, and editorial content for securities and investment topics.

Provides a serverless cloud execution environment for AI agents with standard runtime tools, persistent user state, and real‑time edge‑cloud interaction via MCP.

Provides weather, climate, air quality forecasts and geocoding utilities via an MCP FastAPI server.

Provides an experimental MCP server that connects libvirt virtual machine management with AI models via Ollama, allowing AI-driven control and automation of VMs.

Provides programmatic access to Amazon Advertising resources—including Sponsored Products, Brands, and Display campaigns, ad groups, keywords, product ads, targeting, and performance reports—through a Model Context Protocol server, enabling plain‑English queries and integration with Claude or other MCP‑compatible clients.

Provides a Model Context Protocol server that enables LLMs like Claude to manage Ghost CMS content and settings via secure admin API calls.

Provides a secure, efficient, and personalized local AI chat experience with multi‑session management, markdown rendering, and extensible tool integration via MCP.

Provides LLMs with the ability to inspect BigQuery schemas and execute SQL queries via the Model Context Protocol.

Capture insights from any AI session and instantly make them searchable across all your tools, turning scattered conversations into persistent, organized knowledge.

Provides movie data, search, trending lists, and recommendations by integrating the TMDB API.

Provides real-time information about U.S. National Parks, including park details, alerts, activities, visitor centers, campgrounds, and events via the NPS API.

Enables AI assistants to query and analyze Kong Konnect API Gateway configurations, traffic, and analytics through a Model Context Protocol server.

Provides production‑ready MCP servers and a hosted service for integrating AI applications with over 50 third‑party services via standardized APIs, OAuth, and easy Docker or hosted deployment.

Provides a Model Context Protocol server that connects to the Databricks API, enabling LLMs to execute SQL queries, list jobs, and retrieve detailed job information.

Provides secure, structured access to Microsoft SQL Server databases for AI assistants, enabling table listing, data retrieval, and controlled query execution.

Provides Microsoft Teams integration via the Model Context Protocol, enabling reading, creating, replying to messages and mentioning members.

Enables large language models to control iOS simulators through natural language commands, offering full lifecycle management, app handling, UI interaction, debugging, and advanced simulation features.

Provides a powerful interface to the Shodan API, enabling advanced search, host intelligence, vulnerability discovery, and network mapping for security research.

Provides a project‑specific memory bank that stores decisions, progress, architecture, and custom data, exposing a structured knowledge graph via MCP for AI assistants and IDE tools.

Enables secure terminal command execution, directory navigation, and fine‑grained file system operations through a standardized MCP interface.

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.