How to Use the Beeceptor MCP in Pydantic AI

Q: How do I modify endpoint settings safely?

Use updatesettings to adjust your mock server configurations like latency or CORS. Pydantic AI validates the settings payload structure, ensuring you do not pass invalid timeout parameters to Beeceptor.

Build type-safe mock API workflows using Beeceptor and Pydantic AI for guaranteed runtime payload validation.

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Connect Beeceptor MCP to Pydantic AI

Create your Vinkius account to connect Beeceptor 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 Beeceptor with Pydantic AI

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Type-safe mock rule generation with Pydantic AI

`create_rule` registers new mock routes while enforcing strict schema validation on the client side. This MCP Server integration ensures that every mock rule your agent creates matches your exact Python type definitions before hitting the wire. If your agent attempts to configure a rule with invalid status codes or broken JSON, Pydantic AI raises a validation error immediately. You catch API configuration mistakes during development rather than in production.

Inspect mock state with strict type guarantees

`get_state_item` fetches specific state variables from your stateful mock endpoints. This tool returns structured key-value data that Pydantic AI parses directly into clean Python models. For bulk operations, `list_state` gathers all stored keys, and `delete_state_item` removes obsolete values. Strict runtime checks guarantee your agent never processes malformed state payloads.

Download and process multipart payloads safely

`download_multipart` retrieves binary files and form data sent to your mock endpoints. This capability allows your agent to verify file uploads using this MCP Server programmatically. You can also use `upload_blob` to push binary assets up to your mock server. Every response is validated against Pydantic schemas, preventing corrupted files from stalling your test runs.

Setup guide

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

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

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

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Common questions about Beeceptor MCP in Pydantic AI

Import MCPToolset from the slim package and point it to your Vinkius HTTP endpoint. Pass this toolset into your Agent constructor to automatically register all 29 mock management tools.

The framework will fail loudly and raise a validation error at runtime. This prevents your agent from working with corrupted mock rules or hallucinated HTTP request structures.

Yes, you can run the server locally or use Vinkius to host it. The client connects via standard HTTP or SSE transports, making it easy to switch between local development and cloud testing.

Use update_settings to adjust your mock server configurations like latency or CORS. Pydantic AI validates the settings payload structure, ensuring you do not pass invalid timeout parameters to Beeceptor.

Your certificates and private API payloads are isolated inside an ephemeral V8 sandbox. Authentication is handled entirely by Vinkius with a single token, keeping your sensitive security credentials out of your application code.

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