How to Use the Forj MCP in CrewAI

Deploy autonomous agent crews to manage your Forj community. CrewAI lets you assign roles for monitoring, moderation, and administration.

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Connect Forj MCP to CrewAI

Create your Vinkius account to connect Forj 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 Forj with CrewAI

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Assemble a Community Moderation Crew

Stop manually monitoring your community. With CrewAI, you can deploy a team of agents that work together. Assign a 'Monitor' agent the job of periodically calling `get_user_activity` for new members. If it detects suspicious patterns, it passes the user ID to a 'Moderator' agent. The 'Moderator' agent can then use `get_account_details` to investigate further and, if needed, pass the case to a human for a final decision. The agents share context, so the handoff is seamless.

Automate Onboarding with a Welcome Crew

Build a multi-agent system to handle new members. One agent's only job is to run `list_pending_requests`. It passes any new requests to a 'Vetting' agent that uses `find_user` to check for duplicate accounts. Once vetted, the request goes to an 'Admin' agent that executes `add_user_to_group` to grant access. Each agent has one job, making your automation clear and easy to debug. This is a powerful use of an MCP server.

Run Autonomous Health Checks

Your CrewAI team can keep an eye on the platform itself. Create an 'Auditor' agent that uses `list_groups` and `list_group_members` to generate daily population reports. At the same time, have an 'Engineer' agent run `list_webhooks` to make sure all your integrations are still active. If the 'Engineer' finds a problem, it can create a task for a human operator. This frees up your team from doing routine checks and lets them focus on more important work.

Setup guide

Set up Forj 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 Forj tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You provide the Forj server URL to a CrewAI Agent. The agent can then use any of the 12 tools, like `search_users` or `create_group`, as part of its assigned tasks to manage the community.

Yes. You can create specialized agents. For example, a 'Recruiter' agent might only have permission to use `list_pending_requests`, while an 'Admin' agent has access to `add_user_to_group`.

No, it's straightforward. For basic use, you just pass the MCP server URL in the `mcps` parameter when defining your Agent. CrewAI handles the connection and tool discovery.

You can build crews for onboarding, content moderation, and operational audits. The tools let your agents manage the full lifecycle of groups and users in your Forj community.

The server accesses user profile data and group memberships. With CrewAI, you can design your team with a dedicated 'Compliance' agent. This agent's role is to intercept and approve any task from another agent that involves sensitive tools like `search_users` or `get_user_activity` before it runs.

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