Buzzsprout MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Buzzsprout through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"buzzsprout": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Buzzsprout Agent",
instructions:
"You help users interact with Buzzsprout " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Buzzsprout?"
);
console.log(result.text);
}
main();
* 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 Buzzsprout MCP Server
Connect your Buzzsprout account to any AI agent and orchestrate your podcast management, episode creation, and performance tracking through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Buzzsprout tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Episode Oversight — List all your podcast episodes and retrieve detailed metadata, including play counts and audio URLs.
- Content Management — Create, update, or delete episodes directly from your workspace with custom titles and descriptions.
- Performance Tracking — Monitor all-time play statistics for individual episodes to track your podcast growth.
- Podcast Information — Retrieve core podcast details including artwork, website links, and categories.
- Account Insights — Access your podcast configuration and settings straight from your workspace.
- Deep Dives — Get detailed data for specific episode IDs using natural language.
The Buzzsprout MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI 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 Buzzsprout to Mastra AI via MCP
Follow these steps to integrate the Buzzsprout MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Buzzsprout via MCP
Why Use Mastra AI with the Buzzsprout MCP Server
Mastra AI provides unique advantages when paired with Buzzsprout through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Buzzsprout without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Buzzsprout tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Buzzsprout + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Buzzsprout MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Buzzsprout, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Buzzsprout as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Buzzsprout on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Buzzsprout tools alongside other MCP servers
Buzzsprout MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Buzzsprout to Mastra AI via MCP:
create_episode
Create a new podcast episode
delete_episode
Delete an episode permanently
get_account_info
Retrieve core account/podcast settings
get_episode
Get details of a specific episode
get_podcast_info
Retrieve core podcast information
list_episodes
List all podcast episodes
update_episode
Update an existing episode
Example Prompts for Buzzsprout in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Buzzsprout immediately.
"List my last 5 podcast episodes in Buzzsprout."
"How many plays does the 'Tech Trends 2026' episode have?"
"Update the title of episode ep_123 to 'New Improved Title'."
Troubleshooting Buzzsprout MCP Server with Mastra AI
Common issues when connecting Buzzsprout to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBuzzsprout + Mastra AI FAQ
Common questions about integrating Buzzsprout MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Buzzsprout with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Buzzsprout to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.