How to Use the Indiegogo Crowdfunding API MCP in CrewAI

Q: How do I restrict which CrewAI agents can access the Indiegogo Crowdfunding API?

Use the MCPServerHTTP class from crewai.mcp and apply a toolfilter. This lets you restrict tools like getcampaigndetails to your financial analyst agent while keeping other agents locked out of the MCP Server.

Deploy a team of specialized CrewAI agents to audit, track, and analyze Indiegogo campaign metrics autonomously.

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Connect Indiegogo Crowdfunding API MCP to CrewAI

Create your Vinkius account to connect Indiegogo Crowdfunding API 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 Indiegogo Crowdfunding API with CrewAI

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Run multi-agent crowdfunding research teams

The `search_indiegogo_campaigns` tool enables your research agents to find active tech hardware projects autonomously. One CrewAI agent can scan the platform for new hardware, while an analyst agent uses `get_campaign_details` to crunch the funding velocity. They share memory and pass structured data back and forth. You get a complete, multi-perspective report on active market trends without writing a single line of data-parsing boilerplate.

Autonomous category-wide trend monitoring

Your monitoring crew uses the `list_indiegogo_categories` tool to watch entire crowdfunding sectors on autopilot. Your crew can identify target sectors, then systematically query those sectors to find breakout projects. This setup runs completely on autopilot. The agents coordinate their tasks, meaning your monitoring agent will only escalate anomalies or massive funding spikes to your human team.

Pre-flight API health checks for agent crews

The `check_api_status` tool lets your lead agent run health checks before executing expensive multi-agent runs. To prevent wasted API calls, your lead agent verifies the endpoint status before delegating tasks to the rest of the crew. If the platform is undergoing maintenance, the crew halts execution and schedules a retry. This keeps your operational costs low and prevents your agents from hallucinating when endpoints fail.

Setup guide

Set up Indiegogo Crowdfunding 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 Indiegogo Crowdfunding API tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Indiegogo Crowdfunding 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 →

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

    task = Task(
        description="List recent Indiegogo Crowdfunding 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 Indiegogo. 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 Indiegogo Crowdfunding API MCP in CrewAI

Pass the MCP Server URL directly into the agent's configuration using the `mcps` parameter. This instantly exposes tools like `get_campaign_details` to that specific agent.

Yes, your agents share access to the configured tools. An analyst agent can query `get_campaign_details` while a research agent runs `search_indiegogo_campaigns` to find new targets.

Use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter`. This lets you restrict tools like `get_campaign_details` to your financial analyst agent while keeping other agents locked out of the MCP Server.

This MCP setup supports stdio, SSE, and Streamable HTTP transports. You can choose the transport that matches your CrewAI deployment environment, whether local or cloud-hosted.

Every request is processed in an isolated, zero-trust V8 sandbox that destroys itself after execution. No campaign metrics or scraped data points are ever logged or stored by Vinkius.

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