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How to Use the Forgejo (Gitea Fork) MCP in LangChain

Build automated CI/CD chains with Forgejo (Gitea Fork) and LangChain.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Forgejo (Gitea Fork) MCP to LangChain

Create your Vinkius account to connect Forgejo (Gitea Fork) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Tie Forgejo to LangChain Pipelines

The `dispatch_workflow` tool triggers manual Forgejo Actions directly from your LangChain ReAct agents. You plug this MCP Server into your multi-step reasoning pipeline. The agent evaluates a code change, runs the dispatch, and waits for the CI/CD result. You get full observability via LangSmith tracing. Every workflow execution logs its inputs and outputs. If the action fails, the agent reads the error and loops back to fix the commit before trying again.

Generate Short-Lived Tokens on the Fly

Generating new personal access tokens for specific automated tasks happens through the `create_token` tool. Your agent spins up a token, uses it to authenticate a secondary deployment script, and then drops it. Hardcoding credentials breaks security policies. Dynamic token generation keeps your environment clean. The agent requests exactly what it needs, when it needs it, without human bottlenecks slowing down the release cycle.

Verify Fork Compatibility Before Execution

You pull exact metadata from your git hosting instance using the `get_forgejo_version` and `get_gitea_version` tools. Upstream API drift causes silent failures. Your agent checks the exact version running on the server before attempting to trigger pipelines. This prevents broken chains. If the agent detects an older Gitea-compatible API layer, it routes the request differently or halts the process. You stop guessing and let the agent handle the version matrix.

Setup guide

Set up Forgejo (Gitea Fork) MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Forgejo (Gitea Fork) tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "forgejo-gitea-fork-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Forgejo (Gitea Fork) transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Forgejo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Forgejo (Gitea Fork) MCP in LangChain

Install `langchain-mcp-adapters` and `langgraph`. Pass your endpoint to `MultiServerMCPClient` and retrieve the tools to feed your ReAct agent.
Yes. The agent calls the workflow dispatch tool when its chain logic dictates. You define the trigger conditions in your prompt.
LangSmith captures the failure in its trace. The agent reads the error output and can retry the step or alert a developer.
It works perfectly across multiple agents. You just map the tools to the specific agent responsible for CI/CD operations.
The server processes version metadata and API tokens. The V8 Isolate Sandbox destroys all context immediately after the tool executes. Your code and tokens never persist in memory.

Start using the Forgejo (Gitea Fork) MCP today

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