Can my agent list all issues in a Gitea repository?

Yes. Use the 'list_issues' tool. Provide the owner and repository name. The agent will return all issues with their titles, numbers, states, and labels, allowing you to monitor project progress natively.

How do I check the details of a specific pull request via chat?

Use the 'list_pulls' tool to see active PRs and their numbers. You can then ask for details about a specific PR to verify source/target branches and current review status synchronously.

Can I see all repositories belonging to a Gitea organization through the agent?

Absolutely. Use the 'list_org_repos' tool. Provide the organization name, and the agent will return all repositories belonging to that org, including their clone URLs and visibility status natively.

Gitea MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Gitea
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gitea through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Gitea "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gitea?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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DLPData protection

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Gitea tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Gitea MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Gitea with type-safe schemas

Why Use Pydantic AI with the Gitea MCP Server

Pydantic AI provides unique advantages when paired with Gitea through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Gitea integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Gitea connection logic from agent behavior for testable, maintainable code

Gitea + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gitea MCP Server delivers measurable value.

Type-safe data pipelines: query Gitea with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Gitea tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Gitea and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Gitea responses and write comprehensive agent tests

Gitea MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Gitea to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Gitea to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gitea + Pydantic AI FAQ

Common questions about integrating Gitea MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Gitea MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.