Mintlify Connector for AI agents.
4 live capabilities
Manage your technical documentation and deployment workflows from your chat interface.
Waiting for input…
Why people use Mintlify
Mintlify Documentation Management: Stop jumping between tabs
With this Connector, you stay in your workspace. You just tell your agent to update the navigation or trigger a new build. It handles the communication with the Mintlify platform in the background, so you can keep your focus on building features while your documentation stays current.
What Vinkius changes
You get a direct line to your documentation's backend without ever opening a browser tab.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Updating navigation without finding the config file
A developer wants to swap the order of two links in the sidebar.
- Real-world use case 02
Checking traffic for a new feature guide
A product manager wants to see if people are reading the new onboarding docs.
- Real-world use case 03
Forcing a documentation build
A dev just pushed a critical fix and needs the docs to update now.
Complete set · 4capabilities
The complete Mintlify capability set.
These are the exact actions your AI can choose when you ask it to work with Mintlify.
01—04
4 capabilities in this set.
Part of 4 available through Mintlify.
- 01 Capability
Get metadata
Pulls your project's current settings and navigation structure into your chat. This helps you audit your docs without opening the dashboard.
- 02 Capability
Get page views
Fetches page view statistics for specific date ranges. Use this to see exactly how many people visited your guides last week.
- 03 Capability
Trigger deployment
Starts a new Mintlify documentation build immediately. This is ideal for manual CI/CD overrides or quick refreshes.
- 04 Capability
Update metadata
Modifies your documentation's configuration object through a request. Use this to change navigation or settings on the fly.
Set up in minutes
One URL. Then ask Mintlify to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Mintlify 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_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Mintlify for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify URL.
- Step 03
Save and start
Save the connection and enable Mintlify in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"mintlify": {
"url": "https://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify
Open Agent mode in chat and ask: "Using Mintlify, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"mintlify": {
"url": "https://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify
Ask Copilot: "Using Mintlify, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"mintlify": {
"url": "https://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify
Open Cascade and ask: "Using Mintlify, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"mintlify": {
"url": "https://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify
Ask Cline: "Using Mintlify, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add mintlify --transport http "https://edge.vinkius.com/vk_preview_M9aK5cxlba7CD7hPXRmZkQWDWejHvt8xp1tZNLBC/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 Mintlify
Ask Claude: "Using Mintlify, show me...". 4 tools are ready
Where the request belongs
Work Mintlify can move forward.
This is for the developer who hates manual config updates, the technical writer who needs to audit navigation structures quickly, and the product manager who wants to see traffic data without digging through a complex analytics dashboard.
Developer
Triggers new documentation builds and updates configuration settings directly from the IDE during the release cycle.
Technical Writer
Audits navigation structures and pulls metadata to ensure documentation remains consistent and organized.
Product Manager
Monitors page view statistics to understand which guides are driving the most user engagement.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDeveloperHub
Equip your AI agent to manage documentation projects, track pages, and monitor changelogs via the DeveloperHub API.
Archbee
Manage documentation spaces, sync OpenAPI specs, and organize technical knowledge directly from your AI agent.
GitBook
Manage technical documentation via GitBook. list organizations and spaces, handle document pages, search content, and audit collections directly from any AI agent.
Stoplight
Connect your AI to Stoplight. Design, document, and manage your API lifecycle, exploring workspaces and schemas effortlessly.
Fern
Manage and interact with Fern documentation platforms. generate access tokens, index websites for AI, and query analytics directly from your agent.
FlowUs
All-in-one knowledge management and collaboration platform. manage pages, blocks, and databases via AI.
Bring your own AI
Change the model, client or framework. Keep Mintlify 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 Mintlify.
The practical details behind the request, access and result.
What can I do with the Mintlify MCP?
You can manage your documentation metadata, check page view analytics, and trigger new deployments directly through your AI agent without leaving your editor.
How do I update my docs config with Mintlify?
Just ask your agent to update the configuration. It will use the update_metadata capability to modify your settings for you.
Can I see how many people visited my docs?
Yes, your agent can fetch page view statistics for any specific time range you specify, giving you a quick look at user engagement.
Can I trigger a build manually?
Absolutely. You can ask your agent to start a new documentation deployment whenever you need one to go live.
Is this for technical writers?
Yes, it is a great capability for technical writers who need to audit navigation structures, check metadata, and monitor how users are interacting with the guides.
Do I need to leave my editor to use this?
No, the whole point is to stay in your editor or chat interface. This Connector connects your AI client directly to the Mintlify backend.
How can I check the current navigation structure of my documentation?
You can use the get_metadata capability. It retrieves the complete project metadata, including settings and the navigation hierarchy defined in your configuration.
Is it possible to see how many views my pages received last week?
Yes! Use the get_page_views capability and provide the optional start and end dates in ISO 8601 format to filter the analytics for that specific period.
Can I trigger a production build of my docs using the AI?
Absolutely. By calling the trigger_deployment capability, the agent will send a request to Mintlify to start a new deployment process immediately.
One connection away
Give your agent a direct line to Mintlify.
Connect Mintlify once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available