Execute user-related operations on Netlify MCP Server, such as retrieving user details, to manage Netlify resources efficiently using natural language prompts.
Execute deployments, retrieve deployment details, or fetch site-specific deployment data using the Netlify MCP Server. Supports get-deploy, get-deploy-for-site, and deploy-site operations for seamless site management.
Manage Netlify projects by retrieving, updating, or creating data, including visitor access controls, forms, environment variables, and project details, through structured operations.
Manage and configure Netlify extensions by installing, retrieving, or initializing database details. Use this tool to change extension installations, fetch full extension details, or list available extensions for specific sites and teams.
Retrieve usage documentation (README.md) to understand how to integrate and utilize Jinni for providing Large Language Models with consolidated project context and metadata.
Enables searching and reading of PortOne documentation, including OpenAPI schemas and product guides, through the Model Context Protocol. It allows AI agents to easily access and integrate payment-related technical specifications into their workflows.
Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one.
The philosophy behind this tool is that LLM context wi