4,000+ servers built on vurb.ts
Vinkius

Podcast Index MCP Server for Google ADKGive Google ADK instant access to 16 tools to Get Episode By Guid, Get Episodes By Feed Id, Get Episodes By Feed Url, and more

MCP Inspector GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Podcast Index 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 Podcast Index MCP Server for Google ADK is a standout in the Audio Music category — giving your AI agent 16 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
from 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="podcast_index_agent",
    instruction=(
        "You help users interact with Podcast Index "
        "using 16 available tools."
    ),
    tools=[mcp_tools],
)
Podcast Index
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 Podcast Index MCP Server

Connect to the Podcast Index to tap into a massive, independent database of podcasts and episodes. This MCP server allows your AI agent to browse the open podcasting directory without the restrictions of proprietary platforms.

Google ADK natively supports Podcast Index as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Deep Search — Find podcasts by general terms, specific titles, or even by the people (hosts/guests) featured in them.
  • Metadata Retrieval — Fetch comprehensive details using RSS feed URLs, Index IDs, Podcast GUIDs, or iTunes IDs.
  • Episode Discovery — List all episodes for a specific feed or find individual episodes by their unique GUID.
  • Trending & Recent — Stay updated with recent feeds and episodes, or discover something new with random episode selection.

The Podcast Index MCP Server exposes 16 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 16 Podcast Index tools available for Google ADK

When Google ADK connects to Podcast Index through Vinkius, your AI agent gets direct access to every tool listed below — spanning podcasting, directory-api, metadata-retrieval, 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.

get

Get episode by guid on Podcast Index

Get a specific episode by its GUID

get

Get episodes by feed id on Podcast Index

List episodes for a specific feed ID

get

Get episodes by feed url on Podcast Index

List episodes for a specific feed URL

get

Get podcast by feed id on Podcast Index

Get podcast details using its internal Index ID

get

Get podcast by feed url on Podcast Index

Get podcast details using its RSS feed URL

get

Get podcast by guid on Podcast Index

Get podcast details using its Podcast GUID

get

Get podcast by itunes id on Podcast Index

Get podcast details using its iTunes ID

get

Get random episodes on Podcast Index

Get a selection of random episodes

get

Get recent episodes on Podcast Index

Get the most recently published episodes

get

Get recent feeds on Podcast Index

Get the most recently added or updated feeds

get

Get recent new feeds on Podcast Index

Get feeds newly added to the index

get

Get value by feed id on Podcast Index

Get the value block by feed ID

get

Get value by feed url on Podcast Index

Get the value block (e.g., Lightning Network details) for a feed URL

search

Search by person on Podcast Index

Search for podcasts featuring a specific person

search

Search by term on Podcast Index

Search for podcasts by a general search term

search

Search by title on Podcast Index

Search for podcasts by title

Connect Podcast Index to Google ADK via MCP

Follow these steps to wire Podcast Index into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 16 tools from Podcast Index via MCP

Why Use Google ADK with the Podcast Index MCP Server

Google ADK provides unique advantages when paired with Podcast Index through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Podcast Index

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Podcast Index tools with BigQuery, Vertex AI, and Cloud Functions

Podcast Index + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Podcast Index MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Podcast Index and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Podcast Index tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Podcast Index regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Podcast Index

Example Prompts for Podcast Index in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Podcast Index immediately.

01

"Search for podcasts about artificial intelligence using a general term."

02

"Find all podcasts featuring Lex Fridman."

03

"Get the latest episodes for the podcast with feed ID 750746."

Troubleshooting Podcast Index MCP Server with Google ADK

Common issues when connecting Podcast Index to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Podcast Index + Google ADK FAQ

Common questions about integrating Podcast Index MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Explore More MCP Servers

View all →