by upstash
Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y
Injects up-to-date documentation and code examples from official sources directly into AI prompts. Ensures your coding assistant has accurate, version-specific library information instead of outdated training data.
Context7 is an official MCP server published by upstash that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y It is categorized under ai ml. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install Context7 in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Context7 is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Context7 has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Context7 is the kind of server we cite when onboarding engineers to host + tool permissions.
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LLMs rely on outdated or generic information about the libraries you use. You get:
Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt.
Add use context7 to your prompt (or set up a rule to auto-invoke):
Create a Next.js middleware that checks for a valid JWT in cookies
and redirects unauthenticated users to `/login`. use context7
Configure a Cloudflare Worker script to cache
JSON API responses for five minutes. use context7
Context7 fetches up-to-date code examples and documentation right into your LLM's context. No tab-switching, no hallucinated APIs that don't exist, no outdated code generation.
<details> <summary><b>Install in Cursor</b></summary>[!NOTE] API Key Recommended: Get a free API key at context7.com/dashboard for higher rate limits.
Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server
Pasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.
Since Cursor 1.0, you can click the install button below for instant one-click installation.
{
"mcpServers": {
"context7": {
"url": "https://mcp.context7.com/mcp",
"headers": {
"CONTEXT7_API_KEY": "YOUR_API_KEY"
}
}
}
}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
}
}
}
Run this command. See Claude Code MCP docs for more info.
claude mcp add --scope user context7 -- npx -y @upstash/context7-mcp --api-key YOUR_API_KEY
claude mcp add --scope user --header "CONTEXT7_API_KEY: YOUR_API_KEY" --transport http context7 https://mcp.context7.com/mcp
</details> <details> <summary><b>Install in Opencode</b></summary>Remove
--scope userto install for the current project only.
Add this to your Opencode configuration file. See Opencode MCP docs for more info.
"mcp": {
"context7": {
"type": "remote",
"url": "https://mcp.context7.com/mcp",
"headers": {
"CONTEXT7_API_KEY": "YOUR_API_KEY"
},
"enabled": true
}
}
{
"mcp": {
"context7": {
"type": "local",
"command": ["npx", "-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
"enabled": true
}
}
}
Set up Context7 MCP for your coding agents:
npx ctx7 setup
Authenticates via OAuth, generates an API key, and configures the MCP server and rule for your agents. Use --cursor, --claude, or --opencode to target a specific agent.
Context7 MCP server supports OAuth 2.0 authentication for MCP clients that implement the MCP OAuth specification.
To use OAuth, change the endpoint from /mcp to /mcp/oauth in your client configuration:
- "url": "https://mcp.context7.com/mcp"
+ "url": "https://mcp.context7.com/mcp/oauth"
OAuth is only available for remote HTTP connections. For local MCP connections using stdio transport, use API key authentication instead.
</details>To avoid typing use context7 in every prompt, add a rule to your MCP client to automatically invoke Context7 for code-related questions:
Cursor Settings > RulesCLAUDE.mdExample rule:
Always use Context7 MCP when I need library/API documentation, code generation, setup or configuration steps without me having to explicitly ask.
If you already know exactly which library you want to use, add its Context7 ID to your prompt. That way, Context7 MCP server can skip the library-matching step and directly continue with retrieving docs.
Implement basic authentication with Supabase. use library /supabase/supabase for API and docs.
The slash syntax tells the MCP tool exactly which library to load docs for.
To get documentation for a specific library version, just mention the version in your prompt:
How do I set up Next.js 14 middleware? use context7
Context7 will automatically match the appropriate version.
Context7 MCP provides the following tools that LLMs can use:
resolve-library-id: Resolves a general library name into a Context7-compatible library ID.
query (required): The user's question or task (used to rank results by relevance)libraryName (required): The name of the library to search forquery-docs: Retrieves documentation for a library using a Context7-compatible library ID.
libraryId (required): Exact Context7-compatible library ID (e.g., /mongodb/docs, /vercel/next.js)query (required): The question or task to get relevant documentation for1- Context7 projects are community-contributed and while we strive to maintain high quality, we cannot guarantee the accuracy, completeness, or security of all library documentation. Projects listed in Context7 are developed and maintained by their respective owners, not by Context7. If you encounter any suspicious, inappropriate, or potentially harmful content, please use the "Report" button on the project page to notify us immediately. We take all reports seriously and will review flagged content promptly to maintain the integrity and safety of our platform. By using Context7, you acknowledge that you do so at your own discretion and risk.
2- This repository hosts the MCP server’s source code. The supporting components — API backend, parsing engine, and crawling engine — are private and not part of this repository.
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Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.