How to Use the Health XML Export Parser MCP in CrewAI

Q: How can one agent in CrewAI use the Health XML Export Parser and pass the results to another?

An agent equipped with this MCP server can call the parsehealthexport tool. It should then return the resulting JSON data in its output, which CrewAI passes as context to the next agent in the task sequence.

Q: Can I have an agent that only has permission to parse data and nothing else?

Yes. When configuring the MCPServerHTTP connection in CrewAI, you can use the toolfilter argument. This lets you expose only the parsehealthexport tool to a specific agent, enforcing role specialization.

Equip your CrewAI agents to analyze massive health data exports. One agent parses the data, another finds the insights.

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Setup Health XML Export Parser with CrewAI

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A Dedicated Tool for Your Data Analyst Agent

Your "Data Analyst" agent's job is to prep data, not get stuck on parsing it. Give it the `parse_health_export` tool. It can take a file path to a huge health XML and get back structured metrics in seconds. This frees the agent from memory errors and complex parsing logic. It can focus on its core task: preparing clean data for the next agent in the crew.

Enable Multi-Agent Health Data Workflows

Imagine a crew: a "File Monitor" agent watches a directory for new exports. When one appears, it tasks a "Data Parser" agent to use `parse_health_export`. The parser agent then passes the structured JSON to a "Report Writer" agent. This kind of specialization is what CrewAI is for. This MCP tool provides the critical, specialized capability for the data-parsing role, making the entire autonomous workflow possible.

Turn Raw Data into Shared Context

A raw XML file is useless as shared context; it's too big and unstructured. The `parse_health_export` tool transforms it into a compact JSON object with key metrics like step count and heart rate. This clean JSON can be easily added to the crew's shared memory. Now, every agent in the crew—from analysts to coaches—can access and understand the user's health data without needing to parse the original file.

Setup guide

Set up Health XML Export Parser 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 Health XML Export Parser tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Health XML Export Parser Analyst",
    goal="Access and analyze Health XML Export Parser data via MCP.",
    backstory="Expert analyst with direct Health XML Export Parser access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Health XML Export Parser 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="Health XML Export Parser Analyst",
        goal="Access and analyze Health XML Export Parser data via MCP.",
        backstory="Expert analyst with direct Health XML Export Parser access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Health XML Export Parser 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 →

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Common questions about Health XML Export Parser MCP in CrewAI

An agent equipped with this MCP server can call the `parse_health_export` tool. It should then return the resulting JSON data in its output, which CrewAI passes as context to the next agent in the task sequence.

No, the parsing is executed on the remote Vinkius MCP server, not on the machine running your crew. Your local process only sends the file path and receives the final, much smaller, JSON result.

The simplest way is to pass the Vinkius server URL directly into the agent's `mcps` parameter. This gives the agent access to the `parse_health_export` tool for its tasks.

Yes. When configuring the `MCPServerHTTP` connection in CrewAI, you can use the `tool_filter` argument. This lets you expose only the `parse_health_export` tool to a specific agent, enforcing role specialization.

The Vinkius MCP server processes your health XML data within a single-use, sandboxed environment for each tool call. Authentication is tied to the specific agent making the call, so other agents in the crew can't access the raw data unless you explicitly pass the results to them.

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