DocInject

DocInject is an operational knowledge and workflow automation tool designed to bridge the gap between static standard operating procedures (SOPs), playbooks, and automated tech stacks. Rather than treating documentation as static text files, PDFs, or wikis that quickly become outdated, DocInject turns operational knowledge into structured, version-controlled JSON payloads. Key Features & Architecture Flexible Inputs: You can feed information into it via raw text, uploaded documents, audio notes, video recordings (like Loom), or casual descriptions, and it structures the content into an automation-ready schema. Structured Outputs: It breaks processes down into clean, nested schemas containing metadata, sections, steps, and sub-steps. Downstream Integration: Published documents generate stable endpoints, webhooks, and REST APIs, allowing teams to route process context directly into tools like Slack, Asana, Jira, HubSpot, or automation platforms like n8n, Make, and Zapier. Model Context Protocol (MCP) Support: It includes native MCP integration, allowing AI models and agents (like Claude) to directly query and ground their answers in up-to-date company procedures.