Execute HTTP requests to web APIs with custom methods, headers, and body content. Send GET, POST, PUT, DELETE, and other HTTP methods to interact with endpoints.
Analyze HTTP requests in Kubernetes and cloud environments with optional filters for method, path, workloads, and PII detection. Retrieve insights for security assessments and audits.
Analyze HTTP request insights in Kubernetes environments with filtering by method, path, workloads, and PII detection to identify security patterns and potential risks.
Execute custom HTTP API requests (GET, POST, PUT, DELETE) to Elasticsearch/OpenSearch endpoints. Use when dedicated tools for specific APIs are unavailable.
A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
A unified Model Context Protocol server that provides a consistent interface for AI assistants to interact with productivity tools like Linear, GitHub, Slack, and Notion. It enables users to search, retrieve, and manage tasks and data across multiple workplace services from a single endpoint.
Enables automated publishing and draft saving to note.com platform using Playwright automation. Reads Markdown files with titles, body text, and tags to publish content directly to your note.com account.