How to Use the NumVerify MCP in CrewAI
Build autonomous verification crews with NumVerify. Use agents to audit your contact lists at scale.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NumVerify MCP to CrewAI
Create your Vinkius account to connect NumVerify 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.
Specialized verification agents
Assign a 'Data Auditor' agent to use `validate_phone` on your new signups. This agent acts as a gatekeeper, ensuring only valid numbers proceed to your core crew. It works in the background while your other agents focus on engagement. This separation of concerns keeps your operations clean.
Carrier analysis for your crew
Have your 'Market Research' agent call `get_phone_carrier` to understand your lead's network provider. This helps your crew tailor their communication strategy. It gives your agents the context they need to act intelligently. They don't just process numbers; they understand them.
Geographic monitoring with the NumVerify MCP Server
Use `get_phone_location` to feed your 'Compliance' agent accurate geographic data. The agent monitors for signups originating from forbidden locations. It provides a persistent check on your user base. Your crew stays updated on where your traffic is coming from.
Set up NumVerify MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke NumVerify tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="NumVerify Analyst",
goal="Access and analyze NumVerify data via MCP.",
backstory="Expert analyst with direct NumVerify access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent NumVerify transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="NumVerify Analyst",
goal="Access and analyze NumVerify data via MCP.",
backstory="Expert analyst with direct NumVerify access.",
tools=mcp_tools,
)
task = Task(
description="List recent NumVerify transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NumVerify. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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Common questions about NumVerify MCP in CrewAI
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