How to Use the Miniflux (RSS Reader) MCP in LlamaIndex
Index your live news feeds into LlamaIndex using the Miniflux (RSS Reader) MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Miniflux (RSS Reader) MCP to LlamaIndex
Create your Vinkius account to connect Miniflux (RSS Reader) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic search over Miniflux (RSS Reader) data
Pipe `list_entries` output into a vector store to make your entire archive queryable. LlamaIndex treats your feed history as a searchable knowledge base. You can ask questions about past events and get answers grounded in the specific articles you have saved. It turns thousands of entries into a source of truth for your research.
Automated retrieval for LlamaIndex
Configure your index to pull fresh data via `refresh_feed` before running a query. This ensures your RAG pipeline never relies on stale information. The agent fetches the latest entries and updates the index in real-time. You always get the most recent context from your favorite sources.
Manage your reading list from LlamaIndex
Use `toggle_entry_bookmark` to flag articles that you want to keep for long-term reference. The agent marks these items, and your index can prioritize them in future searches. This keeps your most important research materials highlighted. You can later search specifically for bookmarked entries to isolate your high-signal content.
Set up Miniflux (RSS Reader) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Miniflux (RSS Reader) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Miniflux (RSS Reader) tools.",
)
response = await agent.run("List recent Miniflux (RSS Reader) data") 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 LlamaIndex
Use it with your favorite AI tools
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