ProjectDocHelper

Overview

ProjectDocHelper is a Model Context Protocol (MCP) server that streamlines the creation and consumption of project documentation for AI‑powered development tools. By automatically generating structured, role‑specific docs and exposing them through MCP, it closes the gap between raw codebases and the contextual knowledge that assistants such as Cursor need to provide accurate, relevant suggestions. This eliminates the manual effort of maintaining documentation and ensures that AI assistants always reference up‑to‑date, project‑specific information.

The server tackles a common pain point: developers often struggle to keep documentation current while iterating on code. ProjectDocHelper addresses this by offering two distinct generation modes—simple for quick overviews and detailed for deep dives. It tailors the output to the project type (frontend, backend, or full‑stack), producing a consistent set of markdown files that cover requirements, architecture guidelines, and technology stacks. A progress bar gives real‑time feedback during generation, making the process transparent and reliable.

Once the documents are ready, ProjectDocHelper runs an MCP service that makes the entire set discoverable by any compatible AI client. The integration with Cursor is straightforward: after starting the server, developers configure Cursor’s MCP address and the assistant can fetch the relevant docs on demand. This tight coupling means that AI responses are grounded in the exact specifications and conventions of the current project, reducing hallucinations and improving developer trust.

Key capabilities include:

• Dynamic doc generation based on project type, with templated content that scales from small prototypes to enterprise‑grade systems.
• Q&A enrichment where user–assistant interactions are automatically scanned and inserted into the most relevant documents, keeping knowledge fresh without manual editing.
• MCP compatibility that exposes a clean API surface for any tool that understands the protocol, enabling future integrations beyond Cursor.
• Progress visualization to keep developers informed during potentially long generation runs.

Typical use cases are:

1. Rapid onboarding – new team members can pull the latest docs from the MCP service and start contributing immediately.
2. Continuous integration pipelines – a CI job can regenerate docs after each commit, ensuring the MCP service always hosts the latest state.
3. AI‑driven code reviews – assistants can reference up‑to‑date guidelines when flagging style or architecture violations.
4. Documentation‑as‑code workflows – teams that prefer markdown can keep their docs in sync with code through the MCP endpoint.

ProjectDocHelper’s standout advantage is its single‑step integration: a developer writes or updates code, runs the generate command, starts the server, and an AI assistant instantly gains access to fully formatted, project‑specific knowledge. This eliminates the friction of manual documentation maintenance and empowers AI tools to deliver contextually accurate help, accelerating development cycles and reducing errors.