How to Use the Gitea MCP in CrewAI

Q: How do I add this Gitea MCP server to a CrewAI agent?

Pass your Vinkius server URL directly into the agent's mcps parameter during initialization. Your CrewAI agent can immediately call tools like getrepo and listrepos.

Q: Can I filter which Gitea tools a CrewAI agent can use?

Yes, you can use the toolfilter option in CrewAI's advanced setup. This lets you restrict a specific agent to only read issues using getissue while blocking repository access.

Deploy a team of specialized CrewAI agents to manage your Gitea issues and pull requests autonomously.

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Connect Gitea MCP to CrewAI

Create your Vinkius account to connect Gitea 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 Gitea with CrewAI

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Coordinate multi-agent Gitea audits using CrewAI

The `list_pulls` tool retrieves active pull requests to let your QA agent inspect code changes. In a CrewAI setup, this agent works alongside a developer agent to cross-reference pull requests against open issues. While the QA agent reviews the code, the manager agent uses `list_branches` to ensure branch naming conventions match your company guidelines. The entire team operates in parallel, reducing manual review times.

Autonomous Gitea organization management with CrewAI

The `list_org_repos` tool lists every repository inside a Gitea organization so your compliance agent can verify security settings. This agent works with a moderator agent that flags public repositories containing sensitive keywords. Because CrewAI supports shared memory, the compliance agent remembers which repositories it already checked during the session. You avoid redundant API requests and keep your Gitea server load low.

Intelligent issue assignment with this MCP Server

The `list_issues` tool pulls unresolved tickets from your Gitea repository to feed your triage crew. A researcher agent analyzes the issue description while an operations agent assigns it to the right developer. This MCP server provides the direct data pipeline your agents need to inspect the code context without leaving the CrewAI framework. Your team works autonomously in the background, keeping your issue tracker clean.

Setup guide

Set up Gitea 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 Gitea tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius server URL directly into the agent's `mcps` parameter during initialization. Your CrewAI agent can immediately call tools like `get_repo` and `list_repos`.

Yes, but to prevent database locks on self-hosted Gitea setups, you should use a sequential execution flow. CrewAI manages the tool execution queue so your agents don't overwhelm the Gitea API.

The crew operates using the permissions of the token provided to the MCP server. If an agent calls `get_org` on an organization the token cannot access, Gitea returns an auth error which the agent handles gracefully.

Yes, you can use the `tool_filter` option in CrewAI's advanced setup. This lets you restrict a specific agent to only read issues using `get_issue` while blocking repository access.

Your Gitea user profiles, issue details, and repository lists are processed strictly in-memory during the CrewAI session. Vinkius secures this transit using token-scoped access and ephemeral sandboxes, meaning your private code data is never written to disk.

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