How to Use the ZIP Codes API MCP in CrewAI

Q: How does CrewAI use ZIP Codes API to find codes by state?

You assign the findzipsbystate tool to an agent. This specialized agent runs the query and shares the full list of ZIPS in memory, making them available for subsequent analysis steps.

Q: What is the process for ZIP Codes API by county with CrewAI?

A 'Research' agent calls findzipsbycounty. The results are then passed to an 'Analysis' agent, which calculates metrics like density using the shared memory.

Q: Can I use CrewAI for radius searches with ZIP Codes API?

Yes. An autonomous monitoring agent can execute findzipsinradius. This is perfect for simulating field operations where a starting point needs an immediate area assessment.

Q: How can I get ZIP Codes API details for specific ZIPS using CrewAI?

The 'Data Specialist' agent uses getzipdetails. It retrieves the demographic and geographic context, which is then compiled into a final report that all agents can view.

Autonomous ZIP Code Operations with CrewAI.

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Setup ZIP Codes API with CrewAI

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Research ZIPS by City or County

Assign the `find_zips_by_city` tool to a 'Researcher' agent. This agent searches for all codes based on city and state, gathering raw data. A separate 'Validator' agent then checks that list against existing records. The CrewAI framework lets you run these specialized agents sequentially or hierarchically. One agent researches the location; the next analyzes the results.

Analyze ZIP Code Distance

Give a 'Logistics' agent access to `get_zip_distance`. This allows it to calculate distances between two codes and summarize findings. The final 'Action' agent then uses this analysis to generate an actionable report. The shared memory in CrewAI means the distance calculation results are immediately available for the next step, eliminating manual data transfer.

Get ZIP Code Details for Context

A 'Data Specialist' agent can use `get_zip_details` to pull demographic information. This gives the entire crew a rich context that goes beyond just the postal code, enabling better decision-making. The autonomous nature of CrewAI means this data gathering is part of a larger operational pipeline—not just a standalone query.

Setup guide

Set up ZIP Codes 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 ZIP Codes API tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent ZIP Codes API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="ZIP Codes API Analyst",
        goal="Access and analyze ZIP Codes API data via MCP.",
        backstory="Expert analyst with direct ZIP Codes API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ZIP Codes 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 ZIP Codes API. 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.

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Common questions about ZIP Codes API MCP in CrewAI

You assign the `find_zips_by_state` tool to an agent. This specialized agent runs the query and shares the full list of ZIPS in memory, making them available for subsequent analysis steps.

A 'Research' agent calls `find_zips_by_county`. The results are then passed to an 'Analysis' agent, which calculates metrics like density using the shared memory.

Yes. An autonomous monitoring agent can execute `find_zips_in_radius`. This is perfect for simulating field operations where a starting point needs an immediate area assessment.

The server touches geographic and demographic data (ZIP codes). CrewAI's multi-agent setup allows you to validate this location data against other sources before making a final determination.

The 'Data Specialist' agent uses `get_zip_details`. It retrieves the demographic and geographic context, which is then compiled into a final report that all agents can view.

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