How to Use the Miniflux (RSS Reader) MCP in LangChain

Build custom news pipelines with Miniflux (RSS Reader) and LangChain to automate your reading flow.

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Connect Miniflux (RSS Reader) MCP to LangChain

Create your Vinkius account to connect Miniflux (RSS Reader) 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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Setup Miniflux (RSS Reader) with LangChain

Ask AI about this MCP

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Claude

Perplexity

Automate feed updates in LangChain

Trigger `refresh_all_feeds` or `refresh_feed` directly inside your agent chains to ensure your data stays current. You can sequence these calls to trigger immediately before an analysis task. This keeps your context window fresh without manual intervention. By chaining `list_entries` after a refresh, your agent always processes the most recent articles available in your Miniflux instance.

Dynamic category management for LangChain

Use `create_category` and `update_category` to organize incoming streams based on agent-detected topics. This allows your workflow to adapt as your interests shift over time. Your agent can inspect feed titles and automatically move them into relevant buckets. It keeps your dashboard clean without you ever opening the Miniflux web interface.

Streamline entry processing in LangChain

Fetch full article text using `fetch_entry_content` to bypass paywalls or partial feed snippets. The agent handles the retrieval and passes the clean text directly into your processing chain. Once the agent summarizes the content, it can use `update_entries_status` to mark the item as read. This cycle turns an unmanageable inbox into a set of concise, actionable summaries.

Setup guide

Set up Miniflux (RSS Reader) MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Miniflux (RSS Reader) tool calls through the MCP protocol.
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({
    "miniflux-rss-reader-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 Miniflux (RSS Reader) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Miniflux (RSS Reader) MCP in LangChain

You define the server connection using the MCP adapter for LangChain. Once the client is initialized, you inject the tools into your agent's toolset to start executing commands.

Yes, you can define chains where one tool output feeds into the next. For instance, list entries, fetch content, and then bookmark the important ones.

It does. You can use the client session features to maintain context across multiple interactions with your feed data.

The server returns a standard error which your agent can catch. You can then use that error to log the failure or try a different feed URL.

Your connection relies on a specific API token that grants access only to your instance. No raw data is stored by the server host; it only relays requests between your agent and your private RSS database.

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