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Provides a Model Context Protocol server generated from the Meraki Dashboard OpenAPI specification.
Provides AI assistants with enterprise-grade, persistent, and secure offline memory for advanced knowledge management.
Provides real-time access to Zendesign design system components and guidelines within AI coding assistants.
Provides structured sequential thinking capabilities for problem-solving and analysis, enabling AI assistants to break down complex problems into manageable steps.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
Provides AI assistants with real-time web search capabilities through DuckDuckGo.
Provides a Model Context Protocol server for searching and retrieving detailed movie information from OMDb and TMDb APIs.
Enables AI assistants to seamlessly interact with and manage content within Obsidian vaults.
Transforms PDF documents into Markdown format utilizing a distributed multi-server architecture.
Manages X (Twitter) API v2 interactions, offering multi-user OAuth 2.0 with PKCE, encrypted token storage, and automatic token refresh capabilities.
Manage local PostgreSQL databases programmatically via the Model Context Protocol for AI assistants.
Integrates ClickUp with AI applications via a high-performance Model Context Protocol (MCP) server, offering optimized interaction and data management.
Provides a foundational Model Context Protocol (MCP) server implementation built with FastMCP.
Standardizes client-server communication, allowing large language models to access server-defined tools and resources.
Provide personalized Indian movie recommendations directly within Claude Desktop.
Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.
Integrates AI code review capabilities for GitHub and GitLab pull and merge requests.
Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.
Rapidly captures screenshots from all available monitors with automatic compression and cross-platform support.
Exposes PostgreSQL database schemas and metadata for exploration by Model Context Protocol (MCP) compatible tools.
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