How to Use the Marchex MCP in CrewAI

Q: How do I connect the Marchex MCP Server to CrewAI?

Pass the Vinkius URL directly into the mcps array when defining your agent. The framework handles the connection automatically.

Q: How do I restrict Marchex tools for a specific CrewAI agent?

Import MCPServerHTTP from the crewai.mcp module. Use the toolfilter parameter to expose only specific endpoints, like read-only analytics.

Deploy autonomous AI teams to analyze telecom data using the CrewAI Marchex integration.

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Connect Marchex MCP to CrewAI

Create your Vinkius account to connect Marchex 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.

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Setup Marchex with CrewAI

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Perplexity

CrewAI teams parsing telecom metrics

Single agents struggle with massive datasets. You can fix this by assigning `search_calls` to a dedicated researcher agent, while an analyst agent processes the output using `get_call_analytics`. Shared memory keeps the context intact across the crew. The analyst knows exactly which phone numbers the researcher already flagged, preventing redundant API requests.

MCP Server Hierarchical Audits

Auditing marketing spend requires a structured approach. A manager agent can delegate `list_campaigns` to a subordinate, then assign `get_campaign_details` to another worker for deep dives. This hierarchical execution mirrors an actual data team. The manager compiles the final report only after the workers finish extracting the raw metrics from the endpoints.

Account Security Monitoring

Keeping tabs on system access is tedious. You can spin up a monitor agent that runs `list_users` and `list_accounts` on a scheduled loop. If it spots an unauthorized user, a moderator agent takes over. It can fire off alerts or restrict access without waiting for a human engineer to log in.

Setup guide

Set up Marchex 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 Marchex tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Marchex 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 Marchex. 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 Marchex MCP in CrewAI

Pass the Vinkius URL directly into the `mcps` array when defining your agent. The framework handles the connection automatically.

Yes. The shared memory architecture means one agent can query a tracking number, and another agent can reference that exact number later.

Import `MCPServerHTTP` from the `crewai.mcp` module. Use the `tool_filter` parameter to expose only specific endpoints, like read-only analytics.

It supports standard input/output, Server-Sent Events, and Streamable HTTP. You pick the transport that fits your deployment environment.

Vinkius routes your requests through a stateless V8 sandbox. User IDs and account structures are processed temporarily and never stored on disk.

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