procontext 0.2.1

MCP server for accurate, up-to-date library documentation

ProContext

Documentation layer for AI coding agents

Your AI coding agent generates broken code because it relies on outdated, generic information.

ProContext fixes this by feeding it the reference docs it needs - correct version, right API, every time.

2000+ libraries · Works with Claude Code, Cursor, Codex, VS Code (GitHub Copilot), Windsurf, and any MCP-compatible tool

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Why ProContext

	Without ProContext	With ProContext
Discovery	Agent guesses APIs from stale training data	Agent reads from a curated registry of 2000+ libraries
Sources	Web scraping and outdated search results	Hand-picked, verified documentation sources - no scraping, no noise
Freshness	Docs go stale as libraries update	Registry refreshes automatically in the background
Speed	Repeated fetches hit the network every time	Every page cached after the first fetch - millisecond lookups
Context	Entire docs dumped into context	Large pages served in paginated windows to respect token limits
Precision	Agent scrolls through irrelevant content	Search within a page or browse its outline to jump to the right section
Safety	Arbitrary URL access risks data leaks	Fetches restricted to known documentation domains

Quick Start

1. Install ProContext 🚀

If you want the smoothest setup, the installer scripts are a good default. They take care of prerequisites like uv and run the initial setup step for you.

Recommended: Installer Script

macOS and Linux

curl -fsSL https://procontext.dev/install.sh | bash

Windows

Run this in a PowerShell terminal:

irm https://procontext.dev/install.ps1 | iex

Alternative: Manual Install Using uvx

If you already have uv, you can install manually with:

uvx procontext setup

2. Verify The Install ✅

Run:

uvx procontext doctor

3. Add ProContext To Your MCP Client 🔌

Add ProContext to your MCP client config:

{
  "mcpServers": {
    "procontext": {
      "command": "uvx",
      "args": ["procontext"]
    }
  }
}

For local MCP integrations, do not start ProContext yourself in stdio mode. Your agent will launch it automatically after you add it to your MCP client. Start ProContext manually only when you want HTTP mode.

For alternate install paths, version pinning, troubleshooting, and installer reference details, see docs/installation.md and docs/installation-options.md.

ProContext works with any MCP-compatible tool. The Integration Guide has copy-paste configurations for Claude Code, Claude Desktop, Cursor, Windsurf, VS Code (GitHub Copilot), OpenAI Codex CLI, and Amazon Q CLI. Both stdio (local) and HTTP (shared/remote) transports are supported.

Documentation

• Integration guide
• Installation guide
• CLI docs
• API reference
• Technical spec
• Project site

Registry

The library registry is maintained in a separate repository: procontexthq/procontexthq.github.io

If you want to add a library or update an existing entry, open a PR there rather than in this repository.

Contributing

See CONTRIBUTING.md for contributor setup, development workflow, coding conventions, and pull request guidance.

License

MIT - see LICENSE for details.

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Built with ❤️ for AI coding agents