How to Use the NationBuilder MCP in CrewAI
Deploy autonomous agent crews to manage your NationBuilder community and mobilize supporters with this MCP integration for CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NationBuilder MCP to CrewAI
Create your Vinkius account to connect NationBuilder 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.
A Crew to Monitor Your Community
Assign a 'Monitor Agent' to keep an eye on your NationBuilder activity. This agent's job is to periodically run `list_recent_donations` and `list_nation_petitions`. It watches for new activity and passes findings to other agents. When the Monitor Agent spots a large donation, it can task an 'Analyst Agent' to use `get_signup_details` and `list_signup_tags` to learn more about the donor. This creates a complete picture of supporter engagement without any human intervention.
Automate Supporter Outreach with a CrewAI Team
Build a crew to manage supporter engagement. A 'Recruiter Agent' can periodically use `list_nation_signups` to find new people who don't have any tags. It then passes these signups to a 'Welcome Agent.' The Welcome Agent's job could be to use a different tool to add them to a welcome email series. Your CrewAI agents work together to ensure no new supporter falls through the cracks.
Your CrewAI Agents Can Manage Campaigns
Let a crew manage event recruitment. An 'Events Agent' uses `list_upcoming_events` to find events that are under-attended. It then tasks a 'Targeting Agent' to find potential attendees. The Targeting Agent uses `list_custom_people_lists` to find groups of people who might be interested and passes them to an 'Outreach Agent' for follow-up. This MCP Server gives your crew the data to make smart decisions autonomously.
Set up NationBuilder 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 NationBuilder tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="NationBuilder Analyst",
goal="Access and analyze NationBuilder data via MCP.",
backstory="Expert analyst with direct NationBuilder access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent NationBuilder 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="NationBuilder Analyst",
goal="Access and analyze NationBuilder data via MCP.",
backstory="Expert analyst with direct NationBuilder access.",
tools=mcp_tools,
)
task = Task(
description="List recent NationBuilder 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 NationBuilder. 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
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Real-time monitoring
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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
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Common questions about NationBuilder MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the NationBuilder MCP today
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