TVMaze MCP Server for Pydantic AI 15 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TVMaze through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to TVMaze "
"(15 tools)."
),
)
result = await agent.run(
"What tools are available in TVMaze?"
)
print(result.data)
asyncio.run(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 TVMaze MCP Server
Connect to TVMaze and explore the world's TV database through natural conversation — no API key needed.
Pydantic AI validates every TVMaze tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic 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 Pydantic AI via MCP
Follow these steps to integrate the TVMaze MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 15 tools from TVMaze with type-safe schemas
Why Use Pydantic AI with the TVMaze MCP Server
Pydantic AI provides unique advantages when paired with TVMaze through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your TVMaze integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your TVMaze connection logic from agent behavior for testable, maintainable code
TVMaze + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the TVMaze MCP Server delivers measurable value.
Type-safe data pipelines: query TVMaze with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple TVMaze tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query TVMaze and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock TVMaze responses and write comprehensive agent tests
TVMaze MCP Tools for Pydantic AI (15)
These 15 tools become available when you connect TVMaze to Pydantic AI via MCP:
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
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
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
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
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
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
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
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
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
get_show_images
Each image includes its type, resolution, and URL. Get images for a TV show
get_show_seasons
Each season includes its number, name, episode order, premiere date, network and image URL. Get all seasons for a TV show
get_shows
Returns only show IDs. Use get_show for details on specific shows. Browse all TV shows in the database
search_people
Uses fuzzy matching. Returns multiple results with person names, photos and their notable shows. Search for actors and crew by name
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
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with TVMaze immediately.
"Search for 'Breaking Bad' and show me details."
"Show me the full cast of The Office."
"What's on TV tonight in the US?"
Troubleshooting TVMaze MCP Server with Pydantic AI
Common issues when connecting TVMaze to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTVMaze + Pydantic AI FAQ
Common questions about integrating TVMaze MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect TVMaze with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 TVMaze to Pydantic AI
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.