How to Use the Tome (AI Storytelling) MCP in Pydantic AI

Q: Can I list Tome (AI Storytelling) workspaces using Pydantic AI?

Yes, the listworkspaces tool lets your agent fetch a validated list of all project containers. This ensures that you're only working with known and correctly structured workspace IDs.

Q: Does the MCP Server support creating Tome (AI Storytelling) records with Pydantic AI?

It does. createtome generates a new tome, and because of Pydantic validation, you immediately get a correctly typed ID back to use in subsequent calls.

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Connect Tome (AI Storytelling) MCP to Pydantic AI

Create your Vinkius account to connect Tome (AI Storytelling) to Pydantic AI 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 Tome (AI Storytelling) with Pydantic AI

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Add content pages to a tome using MCP Server

The `add_page` tool lets your agent insert new, structured pages into any presentation. Since the response validates against Pydantic models, you know exactly what fields were updated and nothing got silently corrupted. This guarantees that supplementary material always fits the required schema.

List existing Tome (AI Storytelling) presentations

Use `list_tomes` to get a clean, validated list of all available presentations in a workspace. If your agent needs to act on a tome, it first checks this reliable manifest. This prevents the agent from trying to reference non-existent or incorrectly formatted IDs.

Retrieve Tome (AI Storytelling) details with Pydantic AI

The `get_tome` tool pulls a full, structured record of an existing presentation. The agent gets this data back as strongly typed objects, which is critical for production-grade reliability. It’s how you verify the state of the story before making any changes.

Setup guide

Set up Tome (AI Storytelling) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "tome-ai-storytelling-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Tome (AI Storytelling) tools.",
)

result = await agent.run("List recent Tome (AI Storytelling) transactions")
print(result.output)

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Common questions about Tome (AI Storytelling) MCP in Pydantic AI

The MCP Server exposes tools whose inputs and outputs are strictly defined by Pydantic schemas. This means that every time your agent calls `list_tomes`, the data returned is guaranteed to match its expected structure.

Yes, the `list_workspaces` tool lets your agent fetch a validated list of all project containers. This ensures that you're only working with known and correctly structured workspace IDs.

It eliminates silent errors. If the underlying API changes or returns unexpected data, your agent fails loudly with a validation error, forcing you to fix the schema rather than letting bad data slip through.

It does. `create_tome` generates a new tome, and because of Pydantic validation, you immediately get a correctly typed ID back to use in subsequent calls.

It manages structural metadata like workspace identifiers and tome IDs. Because everything is validated, you know the type and format of every piece of information your agent receives.

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