Gitee MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Gitee through 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({
"gitee": {
"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 Gitee, 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 Gitee MCP Server
Empower your AI agent to manage your development workflow on Gitee, the leading platform for collaborative software development in China. By connecting Gitee to your agent, you transform repository management and issue tracking into a natural conversation. Your agent can instantly list your repositories, create new issues, manage pull requests, and even read file contents without you needing to navigate the web interface. Whether you are a solo developer or part of a large team, your agent acts as a real-time development assistant, keeping your projects organized and moving forward.
LangChain's ecosystem of 500+ components combines seamlessly with Gitee through native MCP adapters. Connect 10 tools via 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 Management — List all your repositories, get detailed info, and create new projects instantly.
- Issue Tracking — List, filter, and create issues to keep your tasks organized and track bugs efficiently.
- Pull Requests — Monitor and create pull requests to streamline your code review and merging process.
- Code Access — Retrieve file contents and directory structures to understand your codebase better.
- Commit History — Browse commit logs and audit changes across your branches and repositories.
The Gitee 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 Gitee to LangChain via MCP
Follow these steps to integrate the Gitee 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 Gitee via MCP
Why Use LangChain with the Gitee MCP Server
LangChain provides unique advantages when paired with Gitee through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Gitee 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 Gitee queries for multi-turn workflows
Gitee + LangChain Use Cases
Practical scenarios where LangChain combined with the Gitee MCP Server delivers measurable value.
RAG with live data: combine Gitee tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gitee, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gitee tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gitee tool call, measure latency, and optimize your agent's performance
Gitee MCP Tools for LangChain (10)
These 10 tools become available when you connect Gitee to LangChain via MCP:
create_issue
Create an issue
create_pull_request
Create a pull request
create_repo
Create a new repository
get_file_content
Get file content
get_repo
Get repository details
get_user
Get authenticated user profile
list_pull_requests
List pull requests
list_repo_commits
List repository commits
list_repo_issues
List repository issues
list_user_repos
List authenticated user repositories
Example Prompts for Gitee in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Gitee immediately.
"List all my repositories on Gitee."
"Create a new issue in 'my-org/my-repo' titled 'Bug: login failure'."
"Read the contents of README.md from the main branch of 'user/project'."
Troubleshooting Gitee MCP Server with LangChain
Common issues when connecting Gitee to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGitee + LangChain FAQ
Common questions about integrating Gitee 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 Gitee 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 Gitee to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
