Context7
by upstash
Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y
What it does
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 Ensures your coding assistant has accurate, version-specific library information instead of outdated training data.
About
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.
How to install
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.
License
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.
Readme
Frequently Asked Questions
- What is the Context7 MCP server?
- Context7 is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Context7?
- This profile displays 39 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.8★★★★★39 reviews- ★★★★★Pratham Ware· Dec 28, 2024
According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dhruvi Jain· Dec 20, 2024
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kofi Khan· Dec 20, 2024
Context7 has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yusuf Martin· Dec 12, 2024
According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kofi Ramirez· Dec 12, 2024
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chinedu Bhatia· Dec 4, 2024
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yusuf Yang· Nov 23, 2024
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· Nov 11, 2024
I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Olivia Menon· Nov 3, 2024
Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Olivia Verma· Oct 22, 2024
Useful MCP listing: Context7 is the kind of server we cite when onboarding engineers to host + tool permissions.
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