Patterns for using Context7 MCP for library documentation (v2.25)
Scanned 9/2/2026
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---
# VERSION: 2.88.0
name: context7-usage
description: "Patterns for using Context7 MCP for library documentation (v2.25)"
---
# Context7 MCP Usage Patterns
## v2.88 Key Changes (MODEL-AGNOSTIC)
- **Model-agnostic**: Uses model configured in `~/.claude/settings.json` or CLI/env vars
- **No flags required**: Works with the configured default model
- **Flexible**: Works with GLM-5, Claude, Minimax, or any configured model
- **Settings-driven**: Model selection via `ANTHROPIC_DEFAULT_*_MODEL` env vars
**ultrathink** - Take a deep breath. We're not here to write code. We're here to make a dent in the universe.
## The Vision
Documentation retrieval should be precise, fast, and authoritative.
## Your Work, Step by Step
1. **Identify library**: Extract from the user’s request.
2. **Resolve ID**: Use Context7 to find the exact source.
3. **Query**: Ask for targeted, actionable guidance.
4. **Fallback**: Use MiniMax when Context7 lacks coverage.
## Ultrathink Principles in Practice
- **Think Different**: Prefer indexed docs over scraping.
- **Obsess Over Details**: Ensure the right library ID.
- **Plan Like Da Vinci**: Define the query before running it.
- **Craft, Don't Code**: Return only relevant excerpts.
- **Iterate Relentlessly**: Re-query for clarity.
- **Simplify Ruthlessly**: Avoid unnecessary searches.
# Context7 MCP Usage Patterns
## Overview
Context7 MCP provides indexed documentation for popular libraries and frameworks. It's more efficient than web scraping because it uses pre-indexed, structured documentation.
## Available Tools
| Tool | Purpose | Parameters |
|------|---------|------------|
| `mcp__plugin_context7_context7__resolve-library-id` | Find Context7 library ID | `libraryName`, `query` |
| `mcp__plugin_context7_context7__query-docs` | Query documentation | `libraryId`, `query` |
## Usage Pattern
```yaml
# Step 1: Resolve library ID
mcp__plugin_context7_context7__resolve-library-id:
libraryName: "React" # Extract from user query
query: "useTransition hook usage" # Full query for ranking
# Step 2: Query docs with resolved ID
mcp__plugin_context7_context7__query-docs:
libraryId: "/vercel/next.js" # From step 1
query: "How to use useTransition hook"
```
## Decision Tree
```
Is this about a library/framework?
|
+-- YES --> Is it in Context7?
| |
| +-- YES --> Use Context7 MCP
| | 1. resolve-library-id
| | 2. query-docs
| |
| +-- NO --> Fallback to MiniMax MCP
|
+-- NO --> Use WebSearch (native) or MiniMax MCP
```
## Supported Libraries (Examples)
### Frontend
- React (`/facebook/react`)
- Next.js (`/vercel/next.js`)
- Vue.js (`/vuejs/vue`)
- Angular (`/angular/angular`)
- Svelte (`/sveltejs/svelte`)
### Languages
- TypeScript (`/microsoft/TypeScript`)
- JavaScript (MDN)
### Backend
- Node.js (`/nodejs/node`)
- Express (`/expressjs/express`)
- Fastify (`/fastify/fastify`)
### CSS/UI
- Tailwind CSS (`/tailwindlabs/tailwindcss`)
- Chakra UI (`/chakra-ui/chakra-ui`)
### Databases
- PostgreSQL
- MongoDB (`/mongodb/docs`)
- Redis
## Cost Optimization
| Approach | Token Usage | Quality |
|----------|-------------|---------|
| Context7 | ~50% less | High (official docs) |
| Web Search | Baseline | Variable |
| MiniMax | Baseline | High |
**Why Context7 saves tokens:**
- Pre-indexed documentation
- Structured responses
- No web scraping overhead
- Focused, relevant content
## Integration with Ralph Loop
```bash
# CLI usage
ralph library "React 19 useTransition"
ralph lib "Next.js 15 app router"
ralph docs "TypeScript generics"
# Slash command
/library-docs React hooks best practices
```
## Fallback Strategy
If Context7 doesn't have the library:
1. Log warning: "Library not found in Context7"
2. Fallback to `mcp__MiniMax__web_search`
3. Return results from MiniMax
## Best Practices
1. **Extract library name first** - Parse user query to identify the library
2. **Use full query for ranking** - Pass complete query to resolve-library-id
3. **Handle not-found gracefully** - Always have MiniMax fallback ready
4. **Combine with code examples** - Request code snippets in your prompt
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