What is Context7 used for?

Context7 is a tool that provides up-to-date documentation for libraries and frameworks directly to AI agents like Claude, Codex, and Cursor. It helps these agents access the latest code snippets, benchmarks, and usage examples, improving their accuracy and relevance.

How does Context7 integrate with AI agents?

Context7 integrates via a simple command-line setup (npx ctx7 setup) and a chat interface. It sends documentation lookup queries (library name and question) to its servers, and the AI agent receives the relevant docs without exposing your code or conversation history.

Is my data safe with Context7?

Yes. Only the documentation query (e.g., 'how to use useState in React') and library name are sent to Context7's servers — not your code, conversation history, or sensitive data. Context7 also uses an LLM-based model to detect injection attempts and assigns trust scores to repositories.

Can I use private repositories with Context7?

Private repositories are supported only on the Pro and Enterprise plans. The Free plan is limited to public repositories. For Pro, private repository parsing costs $25 per 1M tokens.

What happens if I exceed the API limits on the Free plan?

Free users are blocked after reaching 1,000 API calls per month. To prevent complete disruption, they receive 20 bonus API calls each day while blocked. The month resets after the billing cycle. Upgrading to Pro provides uninterrupted service with higher limits.

Context7

Updated Jul 25, 2026

Get the latest docs into Claude, Codex, Cursor, and other AI agents. Run npx ctx7 setup to start. Trusted by teams.

Categories:

Developer Tools|

Code Assistant|

#documentation#ai agents#code snippets#developer tools#team collaboration

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Editor's Verdict

Rating: 4.2/5.0•Reviewed by RAGWiki

At $0, Context7 stands out as a powerful solution in the developer tools,code assistant landscape. It is especially well-suited for professionals like Software Engineer and Data Scientist. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid limited free plan. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

Up-to-date documentation for AI agents
Chat with Docs
Add Custom Docs
Public Repositories

In-Depth Review: What is Context7?

Context7 provides the most recent documentation directly into your AI agents like Claude, Codex, and Cursor. With a simple terminal command 'npx ctx7 setup', you can instantly access up-to-date docs. Stay current with popular, trending, and recent sources. Trusted by teams at Upstash, Context7 ensures your AI agents have the latest information.

Core Features

Up-to-date documentation for AI agents

Context7 provides the latest documentation for libraries and frameworks directly to AI agents like Claude, Codex, and Cursor, ensuring they have current information.

Chat with Docs

Interact with documentation via a chat interface to quickly find answers and code snippets.

Add Custom Docs

Users can add their own documentation sources to tailor the information available to their AI agents.

Public Repositories

Access documentation from public repositories to get code snippets and benchmarks.

Private Repositories

Securely parse and index private repositories for documentation, available on Pro and Enterprise plans.

Team Collaboration

Collaborate with team members on documentation projects with shared access and permissions.

Access Control

Manage who can view and edit documentation with role-based access control.

OAuth 2.0

Secure authentication using OAuth 2.0 for integration with other services.

SOC-2 Compliance

Enterprise-grade security with SOC-2 compliance for data protection.

SSO (SAML/OIDC)

Single sign-on support for streamlined authentication across the organization.

Self-Hosted Deployment

Deploy Context7 on-premises for full control over data and infrastructure.

Pricing

Free

Public Repositories
Access Control
OAuth 2.0
1,000 API calls per month
Community Support

Pro

$10 per seat / month

Private Repositories
Team Collaboration
Unlimited API Calls
5,000 API calls per seat per month
Private repo parsing ($25 per 1M tokens)
Email Support

Enterprise

Custom

SOC-2 Compliance
SSO (SAML/OIDC)
Self-Hosted (On-Premise)
Dedicated Support
Up to 5,000 members per teamspace
Up to 100 teamspaces
Volume-based pricing

Pros and Cons

Pros

Up-to-date documentationEnsures AI agents always have the latest docs, reducing errors from outdated information.
Easy setupQuick installation via npx ctx7 setup, no complex configuration required.
Security and privacyOnly documentation queries are sent; code and sensitive data remain with the user's LLM provider.
Flexible plansFree tier available for individuals, with scalable Pro and Enterprise plans for teams.
Integrates with popular AI agentsWorks with Claude, Codex, Cursor, and others, making it widely compatible.

Cons

Limited free planOnly 1,000 API calls per month, after which users are blocked (with daily bonus calls).
Private repos only in paid plansPrivate repository support requires a Pro or Enterprise subscription.
Additional API calls cost extraPro users are billed $10 per 1,000 additional calls beyond the included 5,000 per seat.
No SOC-2 or SSO in lower plansEnterprise features like SOC-2 compliance and SSO are only available in the Enterprise plan.
Dependence on external AI agentsContext7's value is tied to the AI agents it integrates with; if those agents are unavailable, it may be less useful.

Use Cases & Recommended Professions

Software Engineer→ View Toolkit

Needs up-to-date documentation for libraries and frameworks to write correct code and integrate with AI-assisted coding tools.

Data Scientist→ View Toolkit

Requires current docs for machine learning libraries to build accurate models using AI agents.

Technical Writer→ View Toolkit

Can use Context7 to keep documentation accessible and up-to-date for internal teams using AI agents.

DevOps Engineer→ View Toolkit

Benefits from automated documentation fetching for infrastructure tools, ensuring AI agents have the latest configs.

AI Researcher→ View Toolkit

Needs reliable documentation for experimental libraries and frameworks to train and run models effectively.

QA Engineer→ View Toolkit

Can leverage AI agents with fresh documentation to generate test cases and validate software behavior.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Context7 were synthesized using AI and fact-checked by our curation team to ensure accuracy.