How do I find my Podchaser API Key?

Log in to your [**Podchaser developer portal**](https://api.podchaser.com/), create an application, and you will find your API Token in your dashboard. Copy and paste it below.

Can I search for podcasts by host?

Yes. The search tools allow you to use host names as keywords to retrieve podcasts and creators from the Podchaser database.

Does it support episode descriptions?

Yes. The `get_podcast_details` and `list_podcast_episodes` tools retrieve detailed descriptions and show notes for podcasts and episodes.

Podchaser Podcast API MCP Server for Google ADK 4 tools — connect in under 2 minutes

Name: Podchaser Podcast API
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Podchaser Podcast API as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

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="podchaser_podcast_api_agent",
    instruction=(
        "You help users interact with Podchaser Podcast API "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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* 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 Podchaser Podcast API MCP Server

Empower your AI agent to orchestrate your entire audio research and podcast auditing workflow with the Podchaser Podcast API, the authoritative source for high-quality audio metadata. By connecting Podchaser to your agent, you transform complex audio searches into a natural conversation. Your agent can instantly search for thousands of podcasts, audit episode lists, and retrieve host metadata without you ever touching a podcast directory. Whether you are conducting media research or managing content distribution constraints, your agent acts as a real-time audio consultant, ensuring your data is always comprehensive and up-to-the-minute.

Google ADK natively supports Podchaser Podcast API as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

Podcast Auditing — Search for thousands of podcasts by title or keyword and retrieve detailed metadata, including descriptions and ratings.
Episode Oversight — Audit the complete episode list for any podcast to understand the temporal distribution of audio content instantly.
Host Discovery — Retrieve detailed metadata for podcast hosts and creators to assist in deep-dive media classification.
Rating Intelligence — Query community ratings and reviews to understand the current industry lead in audio quality.
Operational Monitoring — Check API status to ensure your audio research workflow is always operational.

The Podchaser Podcast API MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Podchaser Podcast API to Google ADK via MCP

Follow these steps to integrate the Podchaser Podcast API MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Podchaser Podcast API via MCP

Why Use Google ADK with the Podchaser Podcast API MCP Server

Google ADK provides unique advantages when paired with Podchaser Podcast API 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 Podchaser Podcast API

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 Podchaser Podcast API tools with BigQuery, Vertex AI, and Cloud Functions

Podchaser Podcast API + Google ADK Use Cases

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

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

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

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

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

Podchaser Podcast API MCP Tools for Google ADK (4)

These 4 tools become available when you connect Podchaser Podcast API to Google ADK via MCP:

check_api_status

Check if the Podchaser service is operational

get_podcast_details

Get full metadata and social links for a specific podcast by ID

list_podcast_episodes

List all episodes for a specific podcast ID

search_podcasts

Search for podcasts by title or keywords on Podchaser

Example Prompts for Podchaser Podcast API in Google ADK

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

"Search for podcasts about 'data science' using Podchaser."

"What are the latest episodes for podcast ID '12345'?"

"Show details for podcast 'The Daily'."

Troubleshooting Podchaser Podcast API MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Podchaser Podcast API + Google ADK FAQ

Common questions about integrating Podchaser Podcast API MCP Server with Google ADK.

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.

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.

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.