How to Use the TVMaze MCP in CrewAI
Automate TV research with CrewAI running off the powerful TVMaze MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TVMaze MCP to CrewAI
Create your Vinkius account to connect TVMaze to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Autonomous Show Research using CrewAI
Need a full dossier on a new show? First, Agent A uses `get_show` to grab all core details—genre, rating, summary. Then, Agent B takes the resulting ID and runs `get_show_episodes` to pull every season's episode guide. The crew collaboration makes this complex sequence easy. It even provides images for each season via `get_show_seasons`, letting your monitor agent build a complete visual report.
Cross-Reference People with CrewAI
Finding someone's career scope is simple. Agent A can use `get_person` to gather bio and external IDs for an actor. Then, Agent B uses `get_person_cast_credits` to list every show they were in, noting if the role was main or recurring. This makes building a complete resume possible. It's perfect for having one specialized agent research and another synthesize that data.
Schedule Analysis with CrewAI
Running a full market analysis? The `get_full_schedule` tool pulls all future episodes, allowing your crew to assess content availability across multiple networks. Because the MCP Server handles this large response, your autonomous agents don't choke on the data. Furthermore, you can use `get_show` and its external IDs in conjunction with the full schedule results for deeper context.
Set up TVMaze MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke TVMaze tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="TVMaze Analyst",
goal="Access and analyze TVMaze data via MCP.",
backstory="Expert analyst with direct TVMaze access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent TVMaze transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="TVMaze Analyst",
goal="Access and analyze TVMaze data via MCP.",
backstory="Expert analyst with direct TVMaze access.",
tools=mcp_tools,
)
task = Task(
description="List recent TVMaze transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
Use it with your favorite AI tools
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