Generate standardized LLMs.txt files for websites to define how large language models should interact with web content, providing clear usage guidelines.
Retrieve projected cost data for the current month across multi-org and single root-org accounts, with options to view costs at parent-org or sub-org levels and include connected partner accounts.
Generate a standardized llms.txt file for any website to define how AI models should interact with the site, creating machine-readable permission guidelines for large language models.
Retrieve historical cost data for multi-org or single root-org accounts in Datadog MCP. Specify time range and view to analyze costs at parent-org or sub-org levels. Includes options for connected accounts.
Migrate from the deprecated d2 library to the modern App Platform by specifying current stack, target platform, and migration scope. Simplify codebase transitions for DHIS2 health systems.
org-mcp is an Emacs package that implements a Model Context Protocol (MCP) server for Org-mode. It enables AI assistants and other MCP clients to interact with your Org files through a structured API.
Enables interaction with Ghost CMS via LLM interfaces, providing secure access through JWT authentication for managing posts, users, and newsletters with detailed output and error handling.
Manage your Ghost blog content directly from Claude, Cursor, or any MCP-compatible client, allowing you to create, edit, search, and delete posts with support for tag management and analytics.