How to Use the Cobot MCP in Pydantic AI

Build type-safe coworking workflows using Cobot and the Pydantic AI framework.

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Connect Cobot MCP to Pydantic AI

Create your Vinkius account to connect Cobot 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 Cobot with Pydantic AI

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Strict runtime validation for Cobot MCP Server

This MCP Server exposes `get_membership_details` to validate every incoming payload against strict Pydantic models before your code runs. If the API returns unexpected data formats, the system fails immediately. This guarantees your application never processes corrupt membership information.

Fail-safe desk and room booking

The `create_new_booking` tool ensures every booking request matches your exact schema requirements. This MCP integration prevents bad inputs from reaching your account. Your agent can safely check `list_space_resources` and write new reservations without risking API errors.

Type-safe billing audits

Using `list_cobot_invoices` and `list_membership_plans`, your agent can audit your coworking space finances via MCP. Because every payload is validated at runtime, you can write automated scripts to flag discrepancies. You get clean, typed data structures that make reporting simple.

Setup guide

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

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

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

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Common questions about Cobot MCP in Pydantic AI

First, install the package using pip install "pydantic-ai-slim[mcp]". Then, instantiate MCPToolset with your HTTP endpoint and pass it to the toolsets list in your Agent.

Yes, it validates every incoming payload from the server. If `list_cobot_memberships` returns a field that deviates from the expected schema, the framework raises a validation error instantly.

Yes, the framework is model-agnostic. You can run your coworking agent on OpenAI, Anthropic, or local models while maintaining the same strict validation for `list_space_bookings`.

No, Vinkius hosts the server for you. You only need to provide the hosted HTTP endpoint URL when initializing your toolset.

We run all server operations inside secure, isolated V8 sandboxes. Your private space settings and membership details are never exposed to public models or third parties.

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