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Docs Studio

Docs Studio

Docs Studio AI Documentation Engine

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1 install
| (0) | Free
Detects project dependencies and matches them to your indexed documentation in DocsStudio for quick reference.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

DocsStudio - Live Documentation Context

Bring relevant documentation right into your AI coding sessions. No more copy-pasting docs into prompts.

What It Does

  1. Detects your dependencies from package.json, requirements.txt, go.mod, Cargo.toml, etc.
  2. Matches them against documentation you've indexed in DocsStudio
  3. Delivers the right context — auth flows, endpoints, schemas, error codes — via commands in VS Code

Setup

1. Install and Configure

After installing the extension:

  1. Run DocsStudio: Configure API Settings from the command palette (Ctrl+Shift+P / Cmd+Shift+P)
  2. Enter your DocsStudio API URL (default: https://docsstudio.dev/api)
  3. Enter your User ID (visible in your DocsStudio dashboard)

2. Index Docs First

The extension works with documentation you've already indexed in DocsStudio. Make sure you've:

  • Added the documentation sites for your dependencies
  • Built the knowledge graph (happens automatically after indexing)

Commands

Command Description
DocsStudio: Configure API Settings Set API URL and User ID
DocsStudio: Refresh Context Re-detect dependencies and match projects
DocsStudio: Show Matched Projects View which docs match your workspace
DocsStudio: Search Documentation Search across all indexed docs
DocsStudio: Get Context for Current File Surface relevant docs for your active file

How It Works

The extension reads your workspace manifest files (package.json, requirements.txt, etc.) to detect dependencies. These are sent to the DocsStudio API to match against your indexed documentation. When you request context for a file, the extension analyzes imports and code patterns to surface the most relevant documentation.

Context is prioritized by relevance:

  • Auth flows — authentication details
  • Matching endpoints — the APIs you're using
  • Schemas — data models for request/response
  • Error codes — what can go wrong
  • Webhooks — event-driven flows

MCP Server

For MCP (Model Context Protocol) integration with Cursor, Claude Desktop, or VS Code Copilot, use the standalone Python MCP server provided in the DocsStudio backend repository. See mcp_server.py for setup instructions.

Requirements

  • A DocsStudio account with indexed documentation
  • VS Code 1.93.0 or later

Extension Settings

Setting Default Description
docsstudio.apiUrl https://docsstudio.dev/api DocsStudio backend API URL
docsstudio.userId (empty) Your User ID for authentication
docsstudio.maxContextTokens 8000 Maximum tokens to include in context

Development

npm install
npm run compile    # Build once
npm run watch      # Watch mode

Building

npm install -g @vscode/vsce
npm install
npx @vscode/vsce package

This produces a .vsix file which can be installed in VS Code.

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