How to Use the TVMaze MCP in AutoGen

Q: How can AutoGen check a person's bio using TVMaze?

The getperson tool retrieves the name, birthday, birthplace, and full biography. An agent uses this data to validate claims about the individual before presenting the final answer.

Q: Can AutoGen manage complex schedules from TVMaze?

Yes. You can set up agents to compare getschedule results against getfullschedule. They debate which schedule is most accurate for a given country or date.

Q: If I need cast details, how does TVMaze help with AutoGen?

Agents use getshowcast to get the names and photo links. Another agent then uses getperson on those names to pull more background data like external IDs.

Q: Does TVMaze support querying show episodes with AutoGen?

The client can use getshowepisodes. An agent might call this first, and then if the summary is missing key details, it'll run a secondary check using getepisode for more depth.

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Connect TVMaze MCP to AutoGen

Create your Vinkius account to connect TVMaze to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TVMaze with AutoGen

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Debating Show Details with AutoGen

You can set up competing agents to verify show data. One agent calls `get_show` for the general details, while another calls `get_show_seasons` to check the season structure. They then debate whether the current status reported by the APIs is 'running' or 'ended'. This consensus-driven approach ensures that your final answer about a show is validated against multiple data sources within the MCP Server.

Collaborative Data Gathering using AutoGen

Imagine an agent tasked with building a profile. One assistant calls `get_show` to get the basic info, and another uses that ID to call `get_show_cast`. They challenge each other on which cast members were main versus recurring roles found in `get_person_cast_credits`. The debate continues until all required credits are confirmed.

Verifying Cast and Crew with AutoGen

Multiple agents can check a person's credentials. One checks the bio via `get_person`, while another uses `get_show_crew` to confirm their role type (director, writer). They negotiate which credit is most relevant for your goal. This multi-agent system prevents relying on just one function call; it requires agreement among several tools.

Setup guide

Set up TVMaze MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes TVMaze tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="TVMaze_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent TVMaze data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="TVMaze_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent TVMaze data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TVMaze. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TVMaze MCP in AutoGen

The `get_person` tool retrieves the name, birthday, birthplace, and full biography. An agent uses this data to validate claims about the individual before presenting the final answer.

Yes. You can set up agents to compare `get_schedule` results against `get_full_schedule`. They debate which schedule is most accurate for a given country or date.

Agents use `get_show_cast` to get the names and photo links. Another agent then uses `get_person` on those names to pull more background data like external IDs.

The client can use `get_show_episodes`. An agent might call this first, and then if the summary is missing key details, it'll run a secondary check using `get_episode` for more depth.

The server handles structured text data, including biographical information from `get_person`, genre lists from `get_show`, and date/time details across all scheduling tools.

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