Enables natural language management of Apache Airflow workflows, including DAG monitoring, task control, and configuration, via the Model Context Protocol.
Provides a user-defined list of llms.txt files and a fetch_docs tool to read documentation URLs from those files, enabling controlled and auditable documentation retrieval for MCP host applications.
A natural language interface for LLMs to manage, monitor, and query CockroachDB. It provides tools for cluster monitoring, database operations, table management, and query execution.
Enables AI assistants to interact with Magic-API development environment, supporting script syntax query, API management, debugging, and knowledge search for efficient development.
A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.
A comprehensive MCP server enabling LLMs to execute commands, manage files, interact with Figma, search the web, generate images, and more, extending their capabilities beyond text generation.
Enables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
Enables management of Ambient Code Platform (ACP) sessions, including creating, viewing, and deleting sessions, with support for labels and bulk operations.