How to Use the Copysmith MCP in Pydantic AI

Use Copysmith with Pydantic AI for type-safe content generation that never hallucinates fields.

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Connect Copysmith MCP to Pydantic AI

Create your Vinkius account to connect Copysmith 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 Copysmith with Pydantic AI

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Validated content creation for Pydantic AI

Your agent invokes `create_generation` and the framework validates the response against your schema. If the API returns garbage, the agent stops immediately. This prevents bad data from reaching your database. You get clean, typed output every time your agent completes a task.

Browse your Copysmith workspace in Pydantic AI

Use `list_templates` to see what formats are available. Pydantic AI ensures the tool output matches the expected structure, so your agent knows exactly what to call. Your agent can also use `get_template` to fetch specific requirements. This ensures the prompt it sends to the server is always valid.

Manage your Copysmith files with Pydantic AI

Run `get_file` to pull metadata for your assets. The agent checks the file details to determine if the content meets your production standards. Remove outdated folders using `delete_folder`. Your agent verifies the operation was successful by checking the return type before proceeding.

Setup guide

Set up Copysmith 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": {
        "copysmith-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Copysmith transactions")
print(result.output)

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Common questions about Copysmith MCP in Pydantic AI

Install the pydantic-ai-slim package with MCP support. Use the MCPToolset class and point it at your running server URL.

Yes, the framework validates every tool response at runtime. If the server returns an unexpected field, the agent raises a validation error.

The framework is model-agnostic. Whether you use a local model or a cloud-based one, the MCP toolset functions exactly the same.

Errors are caught during the validation phase. Your agent fails loudly so you know exactly why the generation didn't complete.

All communication is encrypted in transit. We ensure that your private content and account metadata never leak outside the connection.

Use it with your favorite AI tools

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