Explore our complete collection of MCP servers to connect AI to your favorite tools.
Searches YouTube videos and automatically saves the results to Google Sheets.
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Enables agentic tools to manage ArgoCD applications and resources through natural language interactions.
Connect AI assistants like Claude to a Notion workspace, enabling interaction with databases, pages, and blocks.
Manages project documentation and context across sessions, enabling AI models to maintain consistent project knowledge.
Provides client applications with the ability to access and retrieve Wikipedia pages.
Enables access and modification of kintone data from applications supporting the Model Context Protocol.
Enables interaction with the Linear API through the Model Context Protocol.
Implements a client for the MCP server using FastAPI.
Enables chat conversations with AI models and grants them tool execution capabilities through the Model Context Protocol (MCP).
Enables hybrid keyword and semantic vector search on a Meilisearch index via an MCP server.
Provides a WebSocket interface for interacting with a Claude Computer Use agent running on a Scrapybara instance.
Exposes JDBC database functionalities through the Model Context Protocol (MCP).
Converts Akshare data interfaces into a standardized MCP tool format.
Provides an interface for developers to interact with the CB Insights ChatCBI LLM through AI Agents.
Enables AI assistants to send native macOS notifications with clickable tmux session focusing.
Establishes a robust foundation for building Model Context Protocol (MCP) servers, primarily for UI libraries and component registries.
Orchestrates Vendure CLI commands programmatically, enabling automation and integration for external clients.
Enables listing and terminating operating system processes across platforms using natural language queries.
Connects AI assistants to Buildable projects for contextual understanding, task management, and real-time collaboration.
Provides an experimental F# development toolkit offering interactive FSI capabilities, comprehensive code documentation, and safe code manipulation through the Model Context Protocol.
Generates QR codes from text, offering various customization options and outputting base64 encoded images.
Enables AI assistants to programmatically access VS Code's language intelligence, debugging, and code execution capabilities through the Model Context Protocol.
Provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Apache Druid clusters through the Model Context Protocol.
Unifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
Enables Large Language Models (LLMs) to engage in self-reflection and introspection through recursive questioning and Model Context Protocol (MCP) sampling.
Facilitates comprehensive management, analysis, and debugging of Yii2 framework applications, including database, console, and project-level operations.
Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.
Orchestrates the entire software development lifecycle, bridging Product Managers, Developers, and AI to transform product ideas into reality.
Capture and organize technical details, code context, GitHub issues, and personal reflections into a Git-based project journal.
Scroll for more results...