Gitea MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents — combine Gitea MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Gitea tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gitea, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gitea tools with web scrapers, databases, and calculators in a single agent run
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:
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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Gitea to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGitea + LangChain FAQ
Common questions about integrating Gitea MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
