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Integrates Jira with Cursor IDE via the Model Context Protocol (MCP) for seamless AI-powered interaction.
Integrates with the Notion API using the Model Context Protocol (MCP) to function as an MCP server for applications like Cursor.
Enables holistic project management in Claude by providing a Model Context Protocol (MCP) server for the Linear API.
Enables interaction with Jira through a TypeScript-based server, facilitating JQL queries and ticket management.
Provides persistent memory and intelligent guidance for MCP development projects.
Establishes a local server to facilitate programmatic communication with a Pharo Smalltalk image.
Automates code generation for modern web development, producing TypeScript API clients and Vue.js components from specifications.
Integrates AI assistants with OpenProject for comprehensive project management.
Extends AI assistant capabilities by providing a Model Context Protocol (MCP) server for integrating external tools and data sources.
Integrates the Model Context Protocol server with Claude Sonnet 4, an AI assistant, for enhanced file management and AI-powered assistance.
Transforms Swagger 2.0 API specifications into Model Context Protocol (MCP) tools, enabling AI assistants to directly invoke REST APIs.
Enables AI assistants to seamlessly interact with and manage content within Obsidian vaults.
Integrates Claude Desktop with your local file system for direct code interaction.
Provides an interface for AI assistants to programmatically manage local tmux sessions, enabling terminal multiplexing, session control, and command execution.
Provides real-time weather information, forecasts, and alerts from multiple sources to AI models via the Model Context Protocol.
Empowers AI agents to automate inventory, sales, and various ERP workflows by integrating with ECOUNT ERP.
Integrates Krea.ai's advanced AI image and video generation capabilities with MCP-compatible clients like Claude Desktop and Claude Code.
Integrate multiple frontier AI models to provide synthesized perspectives for coding agents and developer workflows.
Batch multiple find-and-replace operations across single or multiple files into a single, atomic tool call for LLMs.
Facilitates AI-powered interactions with Beans issue tracker workspaces through the Model Context Protocol.
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