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How to Use the Forgejo (Gitea Fork) MCP in CrewAI

Deploy autonomous agent crews to monitor Forgejo instances, manage tokens, and trigger CI/CD pipelines with CrewAI.

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Connect Forgejo (Gitea Fork) MCP to CrewAI

Create your Vinkius account to connect Forgejo (Gitea Fork) 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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Autonomous CI/CD Execution

Stop manually clicking buttons to deploy code. You assign a Deployment Agent in CrewAI to watch your release schedule. When the time comes, this agent autonomously calls `dispatch_workflow` to kick off your Forgejo Actions. You can pair it with a QA Agent. Once the deployment finishes, the QA Agent inspects the environment and reports back to the crew. The entire release cycle happens without a human touching the keyboard.

Multi-Agent Version Auditing via MCP Server

Managing multiple self-hosted instances gets messy fast. You spin up an Auditor Agent equipped with this MCP Server to map your infrastructure. It hits every endpoint and calls `get_forgejo_version` and `get_gitea_version`. The agent compiles the metadata into a single report, identifying which servers need patching. It shares this memory with a Manager Agent, who then decides whether to schedule maintenance or ignore the drift.

Delegated Token Provisioning

You don't want every agent holding admin credentials. CrewAI lets you restrict tools to specific roles. You give the `create_token` tool exclusively to a Security Agent. When a worker agent needs temporary access to push code, it asks the Security Agent. The Security Agent generates a short-lived token, hands it over, and logs the transaction. You get strict separation of concerns within your autonomous crew.

Setup guide

Set up Forgejo (Gitea Fork) MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Forgejo (Gitea Fork) tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Forgejo (Gitea Fork) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Forgejo (Gitea Fork) MCP in CrewAI

Pass the server URL directly into your agent's `mcps` array. CrewAI connects over HTTP or stdio and automatically maps the Forgejo tools to the agent's capabilities.
Yes, if you configure them to run in parallel. A crew can have five different agents calling `dispatch_workflow` across five different repositories at the exact same time.
Use the `tool_filter` parameter in `MCPServerHTTP`. Expose `create_token` only to your designated security agent, while restricting your standard developer agents to version checks and workflow triggers.
It does. You can schedule a crew to run daily, calling `get_forgejo_version` across your infrastructure and compiling an autonomous health report without human intervention.
The crew holds the ability to trigger code execution and generate access tokens. Because CrewAI operates autonomously, a misconfigured agent could spawn excessive tokens or spam your CI runners with workflow dispatches. You must strictly scope the base API token used by the server.

Start using the Forgejo (Gitea Fork) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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