How to Use the Gitee MCP in CrewAI

Deploy specialized agent crews on CrewAI to manage Gitee repositories with autonomous collaboration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Gitee MCP to CrewAI

Create your Vinkius account to connect Gitee 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.

GDPR Free for Subscribers

Setup Gitee with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Gitee Crews in CrewAI

Assign research and action agents to your Gitee projects. One agent uses `list_repo_commits` to scan history while another uses `create_issue` to flag bugs. It’s a team-based approach to repo maintenance. Your agents share the context of the repository automatically.

CrewAI Agents Managing Gitee Repos

Your agents can initialize new projects using `create_repo` as part of a larger setup sequence. CrewAI manages the order of operations so everything lands in the right place. This is ideal for bootstrapping new environments. You define the goal, and the crew handles the Gitee API calls.

Gitee Code Analysis via CrewAI

Point your agents at your code with `get_file_content`. They analyze the files and provide summaries or suggestions based on their specific role. It’s better than reading raw logs. Your agents provide actionable insights directly from your source files.

Setup guide

Set up Gitee 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 Gitee tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Gitee 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 Gitee. 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.

Why Choose Vinkius

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

Connect Gitee now

Real-time monitoring

Live

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

60%

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 Gitee MCP in CrewAI

You pass the Vinkius endpoint directly to the agent configuration. The agents then call the tools as part of their assigned tasks.

Yes, they share memory during the session. An agent researching a PR can pass that info to an agent creating an issue.

It’s straightforward. You include the server URL in your agent definition, and the tools become available for the whole crew.

Keep agents to read-heavy tasks where possible. Save creation tools for specific, verified workflow triggers.

The server operates in an ephemeral sandbox. Your Gitee authentication tokens are isolated and never shared between different agent sessions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Gitee MCP today

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

Get started