OPML Podcast & RSS Parser MCP Server for Google ADKGive Google ADK instant access to 1 tools to Parse Opml Feeds
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add OPML Podcast & RSS Parser as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The OPML Podcast & RSS Parser MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="opml_podcast_rss_parser_agent",
instruction=(
"You help users interact with OPML Podcast & RSS Parser "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports OPML Podcast & RSS Parser as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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 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 Google ADK via MCP
Follow these steps to wire OPML Podcast & RSS Parser into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the OPML Podcast & RSS Parser MCP Server
Google ADK provides unique advantages when paired with OPML Podcast & RSS Parser through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with OPML Podcast & RSS Parser
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine OPML Podcast & RSS Parser tools with BigQuery, Vertex AI, and Cloud Functions
OPML Podcast & RSS Parser + Google ADK Use Cases
Practical scenarios where Google ADK combined with the OPML Podcast & RSS Parser MCP Server delivers measurable value.
Enterprise data agents: ADK agents query OPML Podcast & RSS Parser and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine OPML Podcast & RSS Parser tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query OPML Podcast & RSS Parser regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including OPML Podcast & RSS Parser
Example Prompts for OPML Podcast & RSS Parser in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting OPML Podcast & RSS Parser to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOPML Podcast & RSS Parser + Google ADK FAQ
Common questions about integrating OPML Podcast & RSS Parser MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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