How to Use the Bidsketch MCP in Pydantic AI

Q: How do I set up the Bidsketch MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp, initialize MCPToolset with your Vinkius endpoint, and pass it to your Agent. This gives the agent access to listproposals and createproposal.

Q: Can I use SSE transport to connect Pydantic AI to Bidsketch?

Yes, the unified MCPToolset supports SSE and Streamable HTTP transports, allowing you to connect to your hosted Bidsketch MCP tools on Vinkius.

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Connect Bidsketch MCP to Pydantic AI

Create your Vinkius account to connect Bidsketch 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 Bidsketch with Pydantic AI

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Type-safe proposal operations with Pydantic AI

Validate every response from `get_proposal` and `list_fees` against strict Pydantic AI schemas before your code executes. If the model attempts to call `create_proposal` with invalid fields, the Pydantic AI framework raises a validation error instantly instead of sending bad data to Bidsketch.

Pydantic AI client onboarding in Bidsketch

Onboard new accounts cleanly by using `create_client` and `list_clients` to verify data before Pydantic AI validation. This runtime validation in Pydantic AI guarantees that your Bidsketch database remains clean and free of formatting errors.

Reliable schema discovery via the Bidsketch MCP Server

The unified `MCPToolset` connects Pydantic AI directly to the Bidsketch MCP Server. This eliminates the need to manually write Pydantic schemas for your Bidsketch sales tools, saving hours of boilerplate code.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bidsketch. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bidsketch MCP in Pydantic AI

The framework inspects the tool schemas from the Bidsketch server and builds runtime validation models. If `get_client` returns unexpected fields, Pydantic AI catches it immediately.

Install `pydantic-ai-slim[mcp]`, initialize `MCPToolset` with your Vinkius endpoint, and pass it to your `Agent`. This gives the agent access to `list_proposals` and `create_proposal`.

The framework raises a standard Python exception or validation error depending on the failure. Your agent can catch this and retry the `update_proposal` call safely.

Yes, the unified `MCPToolset` supports SSE and Streamable HTTP transports, allowing you to connect to your hosted Bidsketch MCP tools on Vinkius.

Your credentials stay secured in Vinkius's ephemeral V8 sandboxes. Pydantic AI only handles the validated data payloads, keeping your proposal templates and client emails secure.

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