How to Use the YepCode MCP in Pydantic AI

Q: Can I check process history when using YepCode with Pydantic AI?

Yes. The listexecutions tool retrieves job histories, and those records are validated against your specified schema. This guarantees that you're working with clean, predictable data.

Q: Does the Pydantic AI framework manage complex state changes when connecting to YepCode?

The agent uses runprocess to trigger actions, but more importantly, it validates the result of those actions. This prevents unexpected data from corrupting your downstream processes.

Guaranteed Output: Run YepCode processes and manage structured data using the Pydantic AI framework.

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Connect YepCode MCP to Pydantic AI

Create your Vinkius account to connect YepCode 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 YepCode with Pydantic AI

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Execute Type-Safe Code Snippets

Your agent uses `run_process` to execute serverless code snippets. Because of Pydantic validation, you're guaranteed that the resulting data structure will match your defined schema—no messy JSON fields allowed. Need to check the status? The agent pulls process details using `get_process_details`, and that output is immediately validated against its expected type.

Validate Process Listings

Before processing a list, your agent uses `list_processes` or `list_executions`. If the API returns unexpected data in these lists, Pydantic fails loudly. You get an immediate validation error, not silent corruption. It also ensures that listing available teams via `list_teams` adheres to strict type constraints.

Handle Credentials with Precision

The agent lists account secrets using `list_secrets`. This function call returns a list of secret names, which Pydantic validates as strings. You know exactly what data fields you're working with. When checking the status of a job via `get_process_details`, Pydantic confirms that all returned metrics and IDs are correctly typed.

Setup guide

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

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

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

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Common questions about YepCode MCP in Pydantic AI

The primary benefit is validation. Every response from the MCP Server, whether it’s a list of processes or execution details, must conform to your defined model. If it doesn't, the agent fails immediately.

Yes. The `list_executions` tool retrieves job histories, and those records are validated against your specified schema. This guarantees that you're working with clean, predictable data.

The agent uses `run_process` to trigger actions, but more importantly, it validates the *result* of those actions. This prevents unexpected data from corrupting your downstream processes.

Absolutely. You get runtime validation on every single response. It's a massive upgrade over systems that might return structurally incorrect data without warning you.

This server manages account secrets, which are stored as strings and accessed via `list_secrets`. Your agent must treat this protected data type with strict validation to ensure no unexpected characters or types slip through.

Use it with your favorite AI tools

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