Combining an AI agent with the ClickHelp MCP Server creates a powerful automation layer for documentation work. The agent can read your portal content, understand its structure, and make changes — all in response to plain-language instructions.
The examples below illustrate what this looks like in practice.
Content Creation and Updates
Synchronizing documentation with releases. An agent connected to Jira, Google Docs, and Git via their own MCP servers can analyze a ticket, a specification document, and a pull request diff, then find the relevant topics in ClickHelp and update them before the release goes out.
Documenting a codebase from scratch. You can point an agent at a folder of source files and ask it to describe the project architecture. The agent will analyze the code and generate a set of topics in ClickHelp with the structure you need.
Creating topics from multimedia. You can send an agent an architecture diagram, a meeting transcript, or a demo recording and ask it to write a topic based on that content. This works for any format your LLM can parse.
Restructuring documentation. An agent can reorganize the table of contents and topic structure according to a specific methodology — for example, Diataxis. It will draft a plan and then apply the changes across the project.
Quality Assurance and Audits
Reviewing contractor work. If documentation is written by external contributors, an agent can analyze topics at scale and check them against your style guide — for example, a PDF you provide in the conversation.
Auditing localization. An agent can review translated projects for consistency with your terminology glossary.
Finding outdated content. An agent can scan your projects, compile a list of topics that have not been updated recently, explain what is likely outdated, and — with your confirmation — make the changes and set those topics to a review status.
Technical Support and Customer Experience
Generating custom examples. Based on your existing documentation — for example, a REST API reference — an agent can generate tailored step-by-step instructions or code samples for a specific non-standard use case a customer is facing.
Powering internal knowledge bots. The MCP Server turns your documentation portal into a structured data source for AI agents. Corporate assistants can read your topics to understand your product and give better answers to internal queries.
Import and Styling Assistance
Cleaning up after a messy import. If an import produced inconsistent markup across hundreds of topics, an agent can identify the patterns, either generate regular expressions for Global Find & Replace or fix the topics directly, and move them to a review status.
Importing unsupported formats. An agent can process content from formats that ClickHelp does not support natively — such as Excel or PowerPoint files — and create topics from that content.
Deliver the Content to Readers
Powering customer-facing AI assistants. Your readers can connect to your portal's MCP Server using a Power Reader account and query your documentation directly from their own AI agents — without opening the portal in a browser. This turns your help content into a structured data source that external agents can read on your customers' behalf.
Complex Workflows
Turning meeting notes into documentation tasks. An agent can be set up to analyze call transcripts. If a new feature was discussed, it can find the relevant topics in ClickHelp, set them to a Needs Update status, create a Jira task for the responsible writer, or even draft the changes itself.