Connects AI tools to Storyblok CMS, allowing users to manage content through natural language commands for tasks like story management, asset handling, and AI-powered content operations.
Provides access to the Storyblok Management API via MCP, enabling content management and operations on Storyblok spaces through natural language. Note: This repository is archived; use the hosted version at mcp.labs.storyblok.com.
A comprehensive server enabling natural language interaction with Storyblok CMS for managing stories, assets, components, releases, and other content through a modular architecture.
Enables comprehensive management of Storyblok CMS through natural language interactions. Supports story creation and publishing, asset management, component schema updates, release workflows, and content discovery across all major Storyblok APIs.
A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.
Enables LLMs to interact with Cascade CMS via REST API, supporting asset CRUD, search, publish, workflow, and more through 37 MCP tools and 4 resources.
An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone.
Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.
A read-only MCP server that provides information about Mistral's Le Chat AI, including models, pricing, FAQ, and official links, without requiring API keys.
MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
Enables AI assistants to provide information about Bequall's services for real estate, construction, and modular development, including company overview, use cases, and fit assessment.
Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.
Provides access to Aceternity UI component library documentation, enabling AI assistants to browse, search, and retrieve detailed information about components.
Provides access to geographical and tourism information about Colombia, including regions, departments, cities, and tourist attractions through the API Colombia service.
Small self-hosted CMS (PHP 8, no database) for sites with a few pages and a blog, managed by an AI assistant over MCP. The AI changes content, never code: pages, posts, menus, images, PDF documents, redirects, drafts and version history.
Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.
Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.
Enables AI assistants to search, query, and analyze CMS healthcare datasets from data.cms.gov, supporting features like dataset discovery, filtering, and CSV download for large-scale analysis.
Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.
Provides real-time Dutch railway (NS) travel information including train schedules, delays, journey planning, ticket prices, and station details for navigating the Netherlands by train.
Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.
Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.