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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Gitea through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "gitea": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Gitea, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Gitea through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Gitea MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Gitea via MCP

Why Use LangChain with the Gitea MCP Server

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

01

The largest ecosystem of integrations, chains, and agents — combine Gitea MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Gitea queries for multi-turn workflows

Gitea + LangChain Use Cases

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

01

RAG with live data: combine Gitea tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Gitea, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Gitea tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Gitea tool call, measure latency, and optimize your agent's performance

Gitea MCP Tools for LangChain (10)

These 10 tools become available when you connect Gitea to LangChain via MCP:

01

get_issue

Get full details of a Gitea issue

02

get_me

Get the authenticated Gitea user profile

03

get_org

Get full details of a Gitea organization

04

get_repo

Get full details of a Gitea repository

05

list_branches

List all branches in a Gitea repository

06

list_issues

List all issues in a Gitea repository

07

list_org_repos

List all repositories belonging to a Gitea organization

08

list_orgs

List all organizations the authenticated Gitea user belongs to

09

list_pulls

List all pull requests in a Gitea repository

10

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 LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Gitea immediately.

01

"List the last 5 repositories I worked on"

02

"Show me open pull requests for repo 'api-service'"

03

"List all issues in organization 'Eng-Team'"

Troubleshooting Gitea MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Gitea + LangChain FAQ

Common questions about integrating Gitea MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Gitea to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.