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

Q: How do I pass Miniflux (RSS Reader) tools to a CrewAI agent?

Add the Vinkius MCP HTTP URL to the mcps list when initializing your CrewAI agents. The framework automatically discovers and registers the tools.

Q: How do I limit which Miniflux (RSS Reader) tools a CrewAI agent can access?

Use MCPServerHTTP from the crewai.mcp package and pass a toolfilter list. This prevents agents from accidentally running destructive tools like deleteuser.

Run autonomous research crews that monitor, filter, and summarize feeds using CrewAI.

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Connect Miniflux (RSS Reader) MCP to CrewAI

Create your Vinkius account to connect Miniflux (RSS Reader) to CrewAI 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 CrewAI

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Multi-Agent Feed Curation

Your specialized research agents use `list_entries` and `fetch_entry_content` to build curated daily digests. One agent acts as a scanner to find relevant articles, while another acts as an editor to summarize the core insights. This collaborative setup runs completely in the background without human intervention. The crew reads your feeds, extracts the valuable data, and compiles it into a single clean report.

Autonomous Inbox Management with CrewAI

This MCP Server enables your operations crew to use `update_entries_status` and `toggle_entry_bookmark` to keep your inbox organized. The moderator agent reviews flagged articles and archives them once they are processed by the research team. Because the agents share memory, they learn which topics you care about over time. This reduces feed fatigue by automatically filtering out repetitive news stories and keeping high-signal content starred.

Automated Subscription Auditing

The `list_feeds` and `delete_feed` tools allow an audit agent to monitor your subscription health. Our system identifies dead feeds or sources that haven't updated in months, flagging them for removal. You can assign a supervisor agent to review the audit list before executing the deletions. This ensures you keep full control over your subscription list while offloading the tedious cleanup work.

Setup guide

Set up Miniflux (RSS Reader) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Miniflux (RSS Reader) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Miniflux (RSS Reader) Analyst",
    goal="Access and analyze Miniflux (RSS Reader) data via MCP.",
    backstory="Expert analyst with direct Miniflux (RSS Reader) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Miniflux (RSS Reader) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Miniflux (RSS Reader) Analyst",
        goal="Access and analyze Miniflux (RSS Reader) data via MCP.",
        backstory="Expert analyst with direct Miniflux (RSS Reader) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Miniflux (RSS Reader) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Miniflux. 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 Miniflux (RSS Reader) MCP in CrewAI

Add the Vinkius MCP HTTP URL to the `mcps` list when initializing your CrewAI agents. The framework automatically discovers and registers the tools.

Yes, the server handles parallel requests from different agents in your crew. One agent can read entries using `list_entries` while another updates feed metadata.

Use `MCPServerHTTP` from the `crewai.mcp` package and pass a `tool_filter` list. This prevents agents from accidentally running destructive tools like `delete_user`.

Yes, as long as your self-hosted instance has the REST API enabled and is network-accessible. You just configure the target URL and credentials in your Vinkius dashboard.

All communications between CrewAI and the MCP Server run over encrypted TLS channels. The server operates in an ephemeral, single-tenant sandbox that immediately wipes all your feed subscriptions and article data from memory upon completion.

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