How to Use the Craft (Docs & Notes) MCP in Pydantic AI

Q: How do I update Craft (Docs & Notes) using Pydantic AI?

You pass the updatedocument tool to your agent. It handles the mutation of your values while keeping your Pydantic models in sync.

Q: How do I search for docs with type safety?

The searchdocuments tool returns your results as validated objects. You can trust the structure of your search data every time.

Use Pydantic AI for strict validation when interacting with Craft (Docs & Notes) via this MCP Server.

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Connect Craft (Docs & Notes) MCP to Pydantic AI

Create your Vinkius account to connect Craft (Docs & Notes) 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 Craft (Docs & Notes) with Pydantic AI

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Perplexity

Strictly validated document creation

When you call `create_document`, Pydantic AI forces the response to match your schema. If the payload is wrong, the process stops immediately. This keeps your workspace clean. You avoid corrupted entries because the framework checks every field before it hits your account.

Safe document deletion

The `delete_document` tool removes nodes from your workspace. It handles the request with explicit commands to ensure you only vaporize what you intend. It’s a direct action. You get a confirmation, and the framework ensures the command was successful.

Workspace task mapping

Gathering tasks is safer with type-safe models. `list_tasks` retrieves your items and forces them into a format your code expects. No guessing what the API returned. You get a structured list that your agent can process without errors.

Setup guide

Set up Craft (Docs & Notes) 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": {
        "craft-docs-notes-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Craft (Docs & Notes) tools.",
)

result = await agent.run("List recent Craft (Docs & Notes) transactions")
print(result.output)

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Common questions about Craft (Docs & Notes) MCP in Pydantic AI

Yes, every tool response is checked against your models. If the server returns bad data, your agent catches it as a validation error.

You pass the `update_document` tool to your agent. It handles the mutation of your values while keeping your Pydantic models in sync.

The server supports SSE and HTTP. You configure your toolset once and the framework handles the communication.

The `search_documents` tool returns your results as validated objects. You can trust the structure of your search data every time.

Your content is never persisted by the server. We use ephemeral memory to handle the data transmission between your agent and your notes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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