How to Use the GetStream MCP in CrewAI

Deploy collaborative agent crews to manage and moderate your GetStream feeds autonomously using CrewAI.

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Connect GetStream MCP to CrewAI

Create your Vinkius account to connect GetStream 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 GetStream with CrewAI

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Moderate GetStream Feeds with CrewAI Teams

Instead of relying on a single agent, CrewAI lets you deploy a specialized crew to monitor and clean your social feeds. A Researcher agent can pull recent activity using `get_feed`, while a Moderator agent analyzes the content. If the Moderator finds a violation, it triggers `remove_activity_from_feed` or uses `partial_update_activity` to flag the post, keeping your community safe without human intervention.

Manage Follow Graphs via CrewAI MCP Server

Keeping user follow networks healthy at scale requires constant curation. Your CrewAI crew can analyze user engagement patterns and recommend connection updates by executing `list_feed_follows` and `list_feed_followers`. The crew can then execute `follow_feed` or `unfollow_feed` to build dynamic, interest-based social circles automatically based on real-time activity metrics.

Curate GetStream Collections with CrewAI

Your CrewAI agents can act as automated curators for product or content collections. One agent scans external sources, while another uses `add_to_collection` and `update_collection_object` to keep your GetStream collections fresh. If an item is flagged or goes out of stock, a specialized agent triggers `delete_collection_object` or `batch_delete_collections` to purge it from the catalog.

Setup guide

Set up GetStream 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 GetStream tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius server URL to the server configuration parameter when defining your CrewAI agents. They will instantly gain access to tools like `get_feed`.

Yes. A creative CrewAI agent can generate or fetch media, while an execution agent runs `upload_file` and `process_image` to attach it to a feed.

CrewAI's execution loop handles MCP tool errors gracefully. If GetStream limits are hit, agents will pause and retry their feed operations automatically.

Yes. Use the HTTP transport options to filter tools, ensuring your CrewAI agents only access safe tools like `get_feed` while blocking destructive ones.

Yes. Your uploaded files, image URLs, and activity histories are never cached by CrewAI. All operations are executed in ephemeral, single-use environments that vanish immediately after the tool run.

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