How to Use the Abridge (AI Clinical Documentation API) MCP in CrewAI

Q: How do I assign Abridge (AI Clinical Documentation API) tools to specific agents in CrewAI?

You pass the server URL directly to the agent's mcps parameter during initialization. This grants that specific agent access to tools like createrecording.

Q: Can one CrewAI agent monitor status while another gets notes from Abridge (AI Clinical Documentation API)?

Yes, you can give a monitoring agent access to getrecordingstatus and a writing agent access to getclinicalnotes for clear separation of concerns.

Q: How does CrewAI handle the structured output from Abridge (AI Clinical Documentation API)?

The writing agent uses getclinicalnotes to retrieve structured HPI and physical exam data. CrewAI's internal memory stores this structure for downstream tasks.

Deploy specialized agent crews to process medical recordings and draft clinical documentation autonomously using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Abridge (AI Clinical Documentation API) MCP to CrewAI

Create your Vinkius account to connect Abridge (AI Clinical Documentation API) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Abridge (AI Clinical Documentation API) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate specialized agents with CrewAI

A specialized agent uses the `create_recording` tool on this MCP Server to upload medical audio files sequentially. You assign this task to an ingestion specialist agent. This division of labor keeps your application organized. A supervisor agent coordinates the sequence, ensuring tools are called in the exact order required.

Monitor processing status autonomously

A dedicated monitor agent calls `get_recording_status` at set intervals to check the pipeline. This agent runs in the background without blocking other crew members. Once the status shifts to completed, the monitor alerts the writer agent. This triggers the final retrieval step without requiring any human intervention.

Extract structured medical data using MCP Server tools

A medical writer agent invokes `get_clinical_notes` to fetch structured summaries, HPI, and physical exam details. The agent then formats this structured data for your electronic health record system. This keeps your clinical data clean and properly categorized. You don't have to manually extract key medical concepts from raw transcripts.

Setup guide

Set up Abridge (AI Clinical Documentation API) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Abridge (AI Clinical Documentation API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Abridge (AI Clinical Documentation API) Analyst",
    goal="Access and analyze Abridge (AI Clinical Documentation API) data via MCP.",
    backstory="Expert analyst with direct Abridge (AI Clinical Documentation API) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Abridge (AI Clinical Documentation API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Abridge (AI Clinical Documentation API) Analyst",
        goal="Access and analyze Abridge (AI Clinical Documentation API) data via MCP.",
        backstory="Expert analyst with direct Abridge (AI Clinical Documentation API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Abridge (AI Clinical Documentation API) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Abridge. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Abridge (AI Clinical Documentation API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Abridge (AI Clinical Documentation API) MCP in CrewAI

You pass the server URL directly to the agent's `mcps` parameter during initialization. This grants that specific agent access to tools like `create_recording`.

Yes, you can give a monitoring agent access to `get_recording_status` and a writing agent access to `get_clinical_notes` for clear separation of concerns.

The writing agent uses `get_clinical_notes` to retrieve structured HPI and physical exam data. CrewAI's internal memory stores this structure for downstream tasks.

CrewAI connects via HTTP or SSE. You configure this by passing the Vinkius managed endpoint URL into the `MCPServerHTTP` class.

The Vinkius MCP host executes all calls to fetch clinical notes inside an ephemeral sandbox. This architecture ensures that raw medical records and HPI fields never persist on the hosting server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript