How to Use the Harry Potter API MCP in AutoGen
Let your AutoGen agents debate wizarding lore and spell matchups using the Harry Potter API.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Harry Potter API MCP to AutoGen
Create your Vinkius account to connect Harry Potter API 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.
Debate wizarding duels with AutoGen and this MCP Server
The `get_spells` tool, provided by this MCP Server, feeds your AutoGen agents the raw mechanics, types, and effects of every spell in the Harry Potter universe. You can set up a debate where one agent selects an attack spell and another agent searches for a counter-spell. By using these real-time tools, your AutoGen agents can cross-reference spell types with character stats to determine who would win a duel. The agents negotiate and reach a consensus based on actual API data rather than random guessing.
Verify character lineages with multi-agent consensus
The `get_character` tool allows your AutoGen security and lore agents to verify a wizard's ancestry, house, and patronus before approving them for a task. One agent can fetch the character details while another checks if they meet specific criteria. This multi-agent verification prevents errors when building complex narrative tools. If an agent tries to assign a Slytherin student to a Gryffindor task, the house-checking agent will flag the conflict using data from `get_house_characters`.
Organize Hogwarts academic rosters
The `get_staff` tool lets your AutoGen agents manage school administration tasks by retrieving the active list of professors and teachers. You can have a headmaster agent coordinate with a house ghost agent to assign classes or duties. You can also pull student data using `get_students` to build complete classroom rosters. The automated schema conversion in AutoGen makes it simple to pass these lists between different conversational agents.
Set up Harry Potter API 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Harry Potter API tools and returns structured results.
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="Harry Potter API_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Harry Potter API data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Harry Potter API_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Harry Potter API data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HP-API. 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 Harry Potter API MCP in AutoGen
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