OPML Podcast & RSS Parser MCP Server for LangChainGive LangChain instant access to 1 tools to Parse Opml Feeds

Name: OPML Podcast & RSS Parser
Price: 29 USD
Availability: InStock
Rating: 4.7 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect OPML Podcast & RSS Parser through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The OPML Podcast & RSS Parser MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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({
        "opml-podcast-rss-parser": {
            "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 OPML Podcast & RSS Parser, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OPML Podcast & RSS Parser MCP Server

When you want Claude to recommend new podcasts or blogs based on what you already consume, you export an .opml file from Apple Podcasts, Pocket Casts, or Feedly. But XML outlines are noisy, recursive, and confusing for LLMs to read efficiently.

LangChain's ecosystem of 500+ components combines seamlessly with OPML Podcast & RSS Parser through native MCP adapters. Connect 1 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.

This MCP uses a fast, deterministic XML parser to flatten the OPML hierarchy into a simple, structured list of your subscriptions, dropping all the unnecessary XML tags and attributes.

The Superpowers

Universal Support: Parses OPML files from any standard podcast player or RSS reader.
Zero Token Waste: Converts heavy XML markup into a clean, flat JSON array.
Local Privacy: Your subscription habits are parsed locally, ensuring they aren't uploaded to a public server.
Assistant Ready: Turn Claude into your personal entertainment and news curator.

The OPML Podcast & RSS Parser MCP Server exposes 1 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 OPML Podcast & RSS Parser tools available for LangChain

When LangChain connects to OPML Podcast & RSS Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss, podcast-management, xml-parsing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

parse

Parse opml feeds on OPML Podcast & RSS Parser

Provide the absolute file path. Parse an OPML file (Podcast or RSS feed export) into a clean JSON list of subscriptions

Connect OPML Podcast & RSS Parser to LangChain via MCP

Follow these steps to wire OPML Podcast & RSS Parser into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 1 tools from OPML Podcast & RSS Parser via MCP

Why Use LangChain with the OPML Podcast & RSS Parser MCP Server

LangChain provides unique advantages when paired with OPML Podcast & RSS Parser through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine OPML Podcast & RSS Parser MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across OPML Podcast & RSS Parser queries for multi-turn workflows

OPML Podcast & RSS Parser + LangChain Use Cases

Practical scenarios where LangChain combined with the OPML Podcast & RSS Parser MCP Server delivers measurable value.

RAG with live data: combine OPML Podcast & RSS Parser tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OPML Podcast & RSS Parser, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OPML Podcast & RSS Parser tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OPML Podcast & RSS Parser tool call, measure latency, and optimize your agent's performance

Example Prompts for OPML Podcast & RSS Parser in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with OPML Podcast & RSS Parser immediately.

"Read my podcasts.opml file and recommend 3 new tech podcasts I might like."

"Extract all the RSS URLs from my Feedly export and format them as a Markdown table."

"Analyze my OPML file and tell me what my primary interests are."

Troubleshooting OPML Podcast & RSS Parser MCP Server with LangChain

Common issues when connecting OPML Podcast & RSS Parser to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OPML Podcast & RSS Parser + LangChain FAQ

Common questions about integrating OPML Podcast & RSS Parser MCP Server with LangChain.

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.

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.