Developer

Let agents ground every answer in real docs

QX pulls live, version-specific documentation and code examples from Context7 the moment an agent needs them—so answers, scripts and reviews use real APIs, not guesses.

@QX Why is my Next.js middleware throwing on deploy?

Your matcher config uses the old Next.js 13 syntax—since 14.1 the regex format changed. Here's the corrected snippet, pulled from the current docs. Want me to open a PR with the fix?

Context7

GitHub

Stop shipping code built on stale docs, hallucinated APIs, and outdated Stack Overflow answers. Let an agent ground every answer in the source.

Accuracy

No more hallucinated APIs

Before writing code or answering a question, agents fetch the real, current docs for the exact library and version in play—so suggestions match what actually exists, not what a model half-remembers.

Velocity

Answers without the doc-diving

Engineers stop tabbing between five doc sites and a dozen GitHub issues. Ask in plain English, get a grounded answer with working code examples pulled straight from upstream.

Versioning

Right version, every time

Agents resolve the exact library ID and version your codebase is on, then pull docs scoped to that version—so upgrade notes, deprecations and new APIs are caught before they ship.

Context7 MCP

Real workflows, built for your team

Build complex workflows in minutes that chain Context7 together with the rest of your stack. Trigger them on specific events, on schedule, or on demand.

Engineering: Doc-grounded reviews on every pull request

Pull request opened

Triggered in GitHub

Detect libraries & versions touched

Agent step

Resolve library IDs

in Context7

Pull current docs & examples

in Context7

Issues found

Flag deprecated or misused APIs

Agent step

Post review comments with citations

in GitHub

QX agents can resolve libraries, pull live documentation, and ground code in the real source—on demand

SEARCHResolve a library ID

QUERYQuery up-to-date docs and code examples

About Context7 MCP

Context7 is a documentation retrieval service that pulls up-to-date, version-specific docs and code examples straight from the source for thousands of libraries and frameworks. Its MCP interface is built for AI agents, making it ideal for grounding generated code and answers in real, current APIs instead of model guesses.

About QX Labs

QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.

See Context7 MCP working inside your stack

Want an AI co-worker that grounds every answer in real, current docs? Book a demo call to discuss your use cases, or get started for free.

Book a demo