Context7 is a documentation service that puts current, version-specific library documentation and code examples into prompts for large language models and AI coding editors. Developers use it to help coding agents produce answers based on the libraries they actually use; the catalogue entries provide ways for agents to access Context7 through its CLI or MCP server.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/upstash/context7Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/upstash/context7/use-context7)<a href="https://agentmods.dev/rules/upstash/context7/use-context7"><img src="https://agentmods.dev/badge/rules/upstash/context7/use-context7/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/upstash/context7/use-context7"><img src="https://agentmods.dev/badge/rules/upstash/context7/use-context7.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00197 | $0.00197 |
| Opus 5.5 | $0.00079 | $0.00079 |
| Sonnet 5.5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
use-context7 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
When you're unsure about a library's API, syntax, configuration, or behavior, use Context7 to fetch current documentation rather than guessing from training data that may be outdated.
Use Context7 when:
- You're not confident about the exact API or syntax for a library
- The user asks about a specific version (e.g., "Next.js 16", "React 19")
- The library or framework has had recent major changes
- You need accurate code examples for a specific use case
You don't need to use Context7 for:
- Well-established language features (e.g., JavaScript array methods, Python builtins)
- Conversations where the user has already provided the relevant code or docs
See the context7-mcp skill for detailed instructions on how to resolve libraries and fetch documentation.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed f582bf48d1fc
- 6d ago Changed · -2 tokens per session d5585b5473d8
- 1mo ago First seen · 19 lines · 199 tokens per session scan A c476645d52c7
use-context7 is a cursor rule published in the GitHub repository upstash/context7 (63,103 stars, last pushed today), licensed MIT. It adds 197 tokens to every session, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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