How to Use the FeedBlitz MCP in CrewAI

Q: Can multiple agents share FeedBlitz data in CrewAI?

They can. With shared memory enabled, one agent can run getsubscriber and another agent can use that result to decide on a follow-up action.

Deploy a specialized crew to manage your FeedBlitz campaigns and subscriber lists autonomously.

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Connect FeedBlitz MCP to CrewAI

Create your Vinkius account to connect FeedBlitz 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 FeedBlitz with CrewAI

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Perplexity

Autonomous list cleaning with CrewAI

Assign a moderator agent to oversee your lists. It uses `list_subscribers` to identify inactive users and `remove_subscriber` to prune them, keeping your engagement rates healthy. The crew works in the background, executing tasks based on the parameters you set. It’s an efficient way to manage list quality without constant human oversight.

Collaborative research and syndication monitoring

Use a research agent to pull data via `list_syndications` and a lead agent to analyze the findings. They share memory to ensure the team acts on consistent information. This division of labor allows for complex operations. One agent gathers the facts while the other handles the execution, preventing errors in your syndication management.

Metrics-driven escalation in CrewAI

Task your agents with monitoring campaign health using `list_metrics`. If a threshold is crossed, the crew triggers an alert or adjusts your syndication settings. It’s about proactive management. Instead of you checking dashboards, your agents watch the numbers and act on your behalf when they see a trend.

Setup guide

Set up FeedBlitz 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 FeedBlitz tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly into your agent's MCP configuration. CrewAI will expose the tools to your agents, allowing them to interact with your lists.

They can. With shared memory enabled, one agent can run `get_subscriber` and another agent can use that result to decide on a follow-up action.

It does. Use a tool filter to limit specific agents to read-only tools like `list_metrics`, while giving your moderator agent full write access to subscriber lists.

You can set up a monitor agent to log every tool call. This provides a clear audit trail of every `add_subscriber` or `remove_subscriber` action taken.

Your data remains restricted to the FeedBlitz environment. The MCP server processes requests in isolation, ensuring no subscriber records are leaked to external agents.

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