Context7 Connector for AI agents.
2 live capabilities
Get real-time technical documentation and version-specific code examples for any framework.
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Why people use Context7
Context7 for Real-Time Technical Documentation
Context7 changes that. Your agent pulls the exact Markdown chunks and code examples for the version you're actually using. You stay in your editor while the agent does the heavy lifting of finding the right technical truth.
What Vinkius changes
Your agent gets access to live docs so it stops hallucinating old code.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Fixing outdated API suggestions
A dev asks for a Next.
- Real-world use case 02
Exploring new frameworks
A prototype needs a specific Tailwind v4 component.
- Real-world use case 03
Verifying API signatures
A writer needs to check if a specific method exists in the current version of a library.
Complete set · 2capabilities
The complete Context7 capability set.
These are the exact actions your AI can choose when you ask it to work with Context7.
01—02
2 capabilities in this set.
Part of 2 available through Context7.
- 01 Capability
Resolve library
Turns a fuzzy name like 'react' into a specific library ID and version. It ensures the agent looks at the right documentation source.
- 02 Capability
Query docs
Fetches Markdown chunks and code examples for a specific library and topic. This provides the agent with the actual data it needs to answer your questions.
Set up in minutes
One URL. Then ask Context7 to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Context7 from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Context7, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Context7 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Context7 URL.
- Step 03
Save and start
Save the connection and enable Context7 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"context7": {
"url": "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Context7
Open Agent mode in chat and ask: "Using Context7, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"context7": {
"url": "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Context7
Ask Copilot: "Using Context7, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"context7": {
"url": "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Context7
Open Cascade and ask: "Using Context7, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"context7": {
"url": "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Context7
Ask Cline: "Using Context7, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add context7 --transport http "https://edge.vinkius.com/vk_preview_G0gCyfqz9Q1S4zzxt7mcNwbwWqLQdONTIODtbqay/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Context7
Ask Claude: "Using Context7, show me...". 2 tools are ready
Where the request belongs
Work Context7 can move forward.
Software developers tired of copy-pasting from multiple tabs or AI engineers who need to ground their agents in real-time technical data.
Software Developer
Pulls version-specific API docs into the IDE to write cleaner code faster on a Tuesday afternoon.
AI Engineer
Connects real-time documentation to agents to improve code generation accuracy for production apps.
Technical Writer
Verifies API signatures across different versions without manual searching through multiple websites.
Rapid Prototyper
Grabs boilerplate for new frameworks instantly to get a project off the ground in minutes.
Build the capability set
Add more capabilities.
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Manage modular RAG via Cognita. list collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.
Cody AI
Enable your AI agent to manage knowledge-base bots, import documents, and query trained AI assistants via the Cody AI API.
R2R
Equip your AI with direct access to your R2R engine. execute vector searches, run precise RAG queries, and manage your documents.
Bring your own AI
Change the model, client or framework. Keep Context7 connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Context7.
The practical details behind the request, access and result.
Does Context7 MCP help with outdated library info?
Yes, it pulls live documentation directly into your chat. This means your agent stays up to date with the latest releases instead of relying on old training data.
Can I use Context7 MCP for specific versions?
Absolutely. It allows your agent to resolve a library name to a specific version ID, ensuring you get the exact documentation you need for your project.
Does Context7 MCP work with Cursor?
Yes, it works with any MCP-compatible client, including Cursor, Claude, and Windsurf. You just need to connect your API key.
How does Context7 MCP stop hallucinations?
It grounds your agent in technical truth. By pulling in real Markdown chunks and code examples, it prevents the agent from guessing or making up API signatures.
Is Context7 MCP good for new frameworks?
It's perfect for new frameworks. Because it pulls from live docs, your agent can help you prototype with the latest features as soon as they are released.
Can Context7 MCP pull code examples?
Yes, it retrieves specific code snippets and boilerplate for components or functions, so you can copy and paste them directly into your workspace.
Can my agent find the latest documentation for a specific Tailwind CSS version?
Yes. First, use the 'resolve_library' capability with 'tailwindcss'. It will return the deterministic ID and version (e.g., 'tailwindcss/3.4.1'). Then, use 'query_docs' to pull the exact Markdown blocks for your specific topic.
Does Context7 provide code examples for the libraries I search for?
Absolutely. When you query documentation via the 'query_docs' capability, the agent retrieves not only textual descriptions but also version-specific code examples found in the original library documentation to ensure implementation accuracy.
How does this help prevent AI hallucinations in coding tasks?
Standard LLMs have a training data cutoff. Context7 pulls live, version-specific documentation chunks that act as ground-truth context. By grounding your agent in this real-time data, it avoids hallucinating outdated or non-existent API methods.
One connection away
Give your agent a direct line to Context7.
Connect Context7 once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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