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TVMaze MCP Server for Mastra AI 15 tools — connect in under 2 minutes

Built by Vinkius GDPR 15 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect TVMaze through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "tvmaze": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "TVMaze Agent",
    instructions:
      "You help users interact with TVMaze " +
      "using 15 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with TVMaze?"
  );
  console.log(result.text);
}

main();
TVMaze
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<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 TVMaze MCP Server

Connect to TVMaze and explore the world's TV database through natural conversation — no API key needed.

Mastra's agent abstraction provides a clean separation between LLM logic and TVMaze tool infrastructure. Connect 15 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

  • Show Search — Search for TV shows by title with fuzzy matching and typo tolerance
  • Show Details — Get complete info including genres, network, ratings, status and external IDs (IMDb, TheTVDB)
  • Episode Guides — Browse all episodes with season/episode numbers, air dates and summaries
  • Cast & Crew — Discover who starred in a show and find directors, writers and producers
  • TV Schedule — Check what's airing today or on any date, filtered by country
  • People Search — Find actors and crew members with their full filmography
  • Show Images — Access posters, banners and background images for any show

The TVMaze MCP Server exposes 15 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 TVMaze to Mastra AI via MCP

Follow these steps to integrate the TVMaze MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 15 tools from TVMaze via MCP

Why Use Mastra AI with the TVMaze MCP Server

Mastra AI provides unique advantages when paired with TVMaze through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add TVMaze without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every TVMaze tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

TVMaze + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the TVMaze MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query TVMaze, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed TVMaze as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query TVMaze on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using TVMaze tools alongside other MCP servers

TVMaze MCP Tools for Mastra AI (15)

These 15 tools become available when you connect TVMaze to Mastra AI via MCP:

01

get_episode

Returns the episode name, season and number, air date, summary, runtime, image URL and show link. Get detailed info for a specific episode by ID

02

get_full_schedule

Returns all known future episodes across all shows and networks. This is a large response (multiple MB). Optionally filter by country code. Get the full future TV schedule

03

get_person

) by their numeric ID. Returns the person's name, birthday, birthplace, gender, photo, bio and external IDs (IMDb, Wikipedia, TVRage). Get detailed info for a specific person

04

get_person_cast_credits

Each credit includes the show name, character name, episode count and whether the role was main or recurring. Get all cast credits for a person

05

get_schedule

Each entry includes the show name, episode name, airtime, network and episode info. Optionally set country (ISO 3166-1 alpha-2 code, e.g. "US", "GB", "BR") and date (YYYY-MM-DD, default today). Get TV schedule for a specific date and country

06

get_show

Returns the show name, genres, network, premiered date, ended date, rating, image URL, summary, runtime, status (running, ended, in development) and external IDs (IMDb, TheTVDB, TVRage). Get detailed info for a specific TV show by ID

07

get_show_cast

Each cast member includes the person's name, character name and a link to their photo. Useful for discovering who starred in a show. Get the cast for a TV show

08

get_show_crew

) for a TV show. Each crew member includes their name, role type and credit type. Useful for finding directors, creators and key production staff. Get the crew for a TV show

09

get_show_episodes

Each episode includes the season and episode number, air date, name, summary, runtime and image URL. By default, special episodes are excluded; set specials=true to include them. Get all episodes for a TV show

10

get_show_images

Each image includes its type, resolution, and URL. Get images for a TV show

11

get_show_seasons

Each season includes its number, name, episode order, premiere date, network and image URL. Get all seasons for a TV show

12

get_shows

Returns only show IDs. Use get_show for details on specific shows. Browse all TV shows in the database

13

search_people

Uses fuzzy matching. Returns multiple results with person names, photos and their notable shows. Search for actors and crew by name

14

search_shows

Uses fuzzy matching with tolerance for typos. Returns multiple results ranked by relevance. Each result includes the show's name, genres, network, premiered year, rating, image URL and summary. Use single_search for exact single match. Search for TV shows by name

15

single_search

Returns exactly one result or none. Includes embedded details like episodes, cast and network info. Use this when you want the best match for a specific show name. Search for a single TV show with full details

Example Prompts for TVMaze in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with TVMaze immediately.

01

"Search for 'Breaking Bad' and show me details."

02

"Show me the full cast of The Office."

03

"What's on TV tonight in the US?"

Troubleshooting TVMaze MCP Server with Mastra AI

Common issues when connecting TVMaze to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

TVMaze + Mastra AI FAQ

Common questions about integrating TVMaze MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect TVMaze to Mastra AI

Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.