Abridge (AI Clinical Documentation API) Connector for AI agents.
3 live capabilities
Convert patient-provider conversations into structured clinical notes.
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Why people use Abridge (AI Clinical Documentation API)
Abridge Clinical Documentation & Medical Notes
This Connector changes the game. Instead of manual entry, you can have your AI agent manage the recording and note generation for you. You just provide the context, and the agent handles the rest. You end up with a structured, accurate clinical note ready for review in seconds.
What Vinkius changes
You get structured medical notes without having to manually type out a single sentence of the clinical summary.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Scribe Workflow
A scribe asks the agent to start a recording for a new patient, then checks back later to grab the HPI using get_clinical_notes.
- Real-world use case 02
Telehealth Integration
A developer builds a button that triggers create_recording when a telehealth call starts to automate documentation.
- Real-world use case 03
Batch Processing
A provider uploads multiple audio files and uses the agent to check which ones are ready for review via get_recording_status.
Complete set · 3capabilities
The complete Abridge (AI Clinical Documentation API) capability set.
These are the exact actions your AI can choose when you ask it to work with Abridge (AI Clinical Documentation API).
01—03
3 capabilities in this set.
Part of 3 available through Abridge (AI Clinical Documentation API).
- 01 Capability
Create recording
Start a new session or upload an audio file for processing with patient context. This helps you kick off the documentation process immediately.
- 02 Capability
Get clinical notes
Pull structured data including the summary, HPI, physical exam, and assessment plan. This gives you the final medical record in one go.
- 03 Capability
Get recording status
Check if a recording is still pending, processing, completed, or failed. This helps you stay organized while managing multiple notes.
Set up in minutes
One URL. Then ask Abridge (AI Clinical Documentation API) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Abridge (AI Clinical Documentation API) 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_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Abridge (AI Clinical Documentation API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API) URL.
- Step 03
Save and start
Save the connection and enable Abridge (AI Clinical Documentation API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"abridge-ai-clinical-documentation-api": {
"url": "https://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API)
Open Agent mode in chat and ask: "Using Abridge (AI Clinical Documentation API), help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"abridge-ai-clinical-documentation-api": {
"url": "https://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API)
Ask Copilot: "Using Abridge (AI Clinical Documentation API), help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"abridge-ai-clinical-documentation-api": {
"url": "https://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API)
Open Cascade and ask: "Using Abridge (AI Clinical Documentation API), help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"abridge-ai-clinical-documentation-api": {
"url": "https://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API)
Ask Cline: "Using Abridge (AI Clinical Documentation API), help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add abridge-ai-clinical-documentation-api --transport http "https://edge.vinkius.com/vk_preview_LCA7io2kT1i0lFSedLLYLoxPfpyrkk1km5MJ6Lx5/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 Abridge (AI Clinical Documentation API)
Ask Claude: "Using Abridge (AI Clinical Documentation API), show me...". 3 tools are ready
Where the request belongs
Work Abridge can move forward.
Healthcare providers who are burnt out by administrative tasks and medical scribes who need a way to generate high-accuracy drafts faster.
Physician
Drafts clinical summaries and assessment plans during patient follow-ups to reduce paperwork.
Medical Scribe
Uses AI-generated drafts as a foundation to quickly review and finalize patient records.
Health Tech Developer
Integrates clinical note generation into a custom telehealth or EHR platform.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep Abridge connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Abridge.
The practical details behind the request, access and result.
Can the Abridge MCP create actual medical records?
Yes, it generates structured notes like HPI and Assessment/Plan which you can then use in your EHR. It handles the heavy lifting of turning a conversation into a formal clinical summary.
Does Abridge MCP work for telehealth?
Yes, it is great for telehealth because you can trigger recordings and get notes for remote consultations automatically, keeping your documentation consistent across all platforms.
How does Abridge MCP handle different patient types?
You can provide specific patient and provider context when creating a recording to ensure the notes are accurate and tailored to the specific encounter.
Can I use Abridge MCP to check if a note is ready?
Yes, the agent can check the status of any recording to see if it's still processing or finished, so you always know when your notes are ready for review.
Is Abridge MCP suitable for medical scribes?
It's perfect for scribes who want to generate high-quality drafts quickly. It allows you to focus on reviewing and finalizing the records rather than typing them from scratch.
How do I check if my audio file is still being processed?
Use the get_recording_status capability with your unique recording ID. It will return whether the task is pending, processing, completed, or failed.
What kind of data is included in the clinical notes?
The get_clinical_notes capability returns structured medical data including a summary, HPI (History of Present Illness), physical exam findings, and the assessment and plan.
Can I provide patient and provider IDs when creating a recording?
Yes! The create_recording capability accepts optional patient_id and provider_id strings, as well as a metadata JSON object to provide full context for the encounter.
One connection away
Give your agent a direct line to Abridge.
Connect Abridge once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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