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Gitee 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 Gitee through 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({
        "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())
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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 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.

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 Gitee via MCP

Why Use LangChain with the Gitee MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Gitee 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 Gitee queries for multi-turn workflows

Gitee + LangChain Use Cases

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

01

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

02

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

03

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

04

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:

01

create_issue

Create an issue

02

create_pull_request

Create a pull request

03

create_repo

Create a new repository

04

get_file_content

Get file content

05

get_repo

Get repository details

06

get_user

Get authenticated user profile

07

list_pull_requests

List pull requests

08

list_repo_commits

List repository commits

09

list_repo_issues

List repository issues

10

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.

01

"List all my repositories on Gitee."

02

"Create a new issue in 'my-org/my-repo' titled 'Bug: login failure'."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Gitee + LangChain FAQ

Common questions about integrating Gitee 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 Gitee to LangChain

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