Gitea MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Gitea as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="gitea_agent",
tools=tools,
system_message=(
"You help users with Gitea. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Gitea MCP Server
Connect your Gitea instance to any AI agent and take full control of your self-hosted Git services, code reviews, and project collaboration through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gitea tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Repository Orchestration — List all accessible repositories and retrieve full details including descriptions, clone URLs, stars, and visibility states natively
- Issue & Task Tracking — Enumerate issues in any repository to track numbers, states, labels, and assignees, and retrieve full body content for detailed analysis flawlessly
- Pull Request Auditing — List all pull requests to monitor open, closed, or merged states and review source/target branch mappings synchronously
- Organization Management — Identify organizations you belong to and retrieve detailed org metadata including website, location, and repository counts securely
- Branch & Protection Oversight — List all branches in a repository and verify commit SHAs and effective branch protection rules natively
- User Profile Discovery — Extract the authenticated profile identity including login, email, full name, and administrative status flawlessy
- Project Navigation — Analyze specific localized variables decoding active data routes and extracting hidden structural constraints within your Gitea environment
The Gitea MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Gitea to AutoGen via MCP
Follow these steps to integrate the Gitea MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Gitea automatically
Why Use AutoGen with the Gitea MCP Server
AutoGen provides unique advantages when paired with Gitea through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gitea tools to solve complex tasks
Role-based architecture lets you assign Gitea tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Gitea tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Gitea tool responses in an isolated environment
Gitea + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Gitea MCP Server delivers measurable value.
Collaborative analysis: one agent queries Gitea while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Gitea, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Gitea data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Gitea responses in a sandboxed execution environment
Gitea MCP Tools for AutoGen (10)
These 10 tools become available when you connect Gitea to AutoGen via MCP:
get_issue
Get full details of a Gitea issue
get_me
Get the authenticated Gitea user profile
get_org
Get full details of a Gitea organization
get_repo
Get full details of a Gitea repository
list_branches
List all branches in a Gitea repository
list_issues
List all issues in a Gitea repository
list_org_repos
List all repositories belonging to a Gitea organization
list_orgs
List all organizations the authenticated Gitea user belongs to
list_pulls
List all pull requests in a Gitea repository
list_repos
Returns repo full names, descriptions, clone URLs, stars, forks, private/public status, and default branches. List all repositories accessible to the authenticated Gitea user
Example Prompts for Gitea in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Gitea immediately.
"List the last 5 repositories I worked on"
"Show me open pull requests for repo 'api-service'"
"List all issues in organization 'Eng-Team'"
Troubleshooting Gitea MCP Server with AutoGen
Common issues when connecting Gitea to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Gitea + AutoGen FAQ
Common questions about integrating Gitea MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Gitea with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gitea to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
