How to Use the ShangQian / 上上签 (BestSign) MCP in Pydantic AI

Q: Can I use ShangQian / 上上签 (BestSign) to manage templates with Pydantic AI?

Yep. Your agent can call uploadshangqiantemplate and the resulting template ID is returned as a strongly typed integer, keeping your workflow clean.

Q: What’s the best way to structure a contract flow with ShangQian / 上上签 (BestSign) on Pydantic AI?

Start by using getcontractdetails to gather metadata, then use that ID in signcontractnow. The type safety of Pydantic guides the entire sequence.

Ensure correctness with Pydantic AI: Validate ShangQian / 上上签 (BestSign) contract APIs in your production code.

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Create your Vinkius account to connect ShangQian / 上上签 (BestSign) to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ShangQian / 上上签 (BestSign) with Pydantic AI

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Pydantic AI Contract Metadata Retrieval

The `get_contract_details` tool lets your agent pull all the specific metadata about a contract. Because of Pydantic's validation, you get a structured Python object back—no unexpected fields or missing data. This makes checking status much safer than parsing raw JSON strings, guaranteeing that every required field is present and typed correctly.

Managing User Credentials with Pydantic AI

When your agent needs to check a user's identity, calling `verify_identity_v2` gives you a strongly typed result. If the API returns junk data, Pydantic fails loudly, stopping your agent before it proceeds. Similarly, when calling `register_shangqian_user`, the type validation ensures all required inputs are provided.

Secure Document Handling via MCP Server

To finalize a process, use `sign_contract_now`. Pydantic validates that the contract ID and user certificate are correctly structured before sending the request. For archiving or review, `get_contract_download` provides the secure URL. The typed output helps your agent handle this link without any guessing.

Setup guide

Set up ShangQian / 上上签 (BestSign) 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": {
        "shangqian-bestsign-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent ShangQian / 上上签 (BestSign) transactions")
print(result.output)

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Common questions about ShangQian / 上上签 (BestSign) MCP in Pydantic AI

The MCP Server outputs data that Pydantic validates at runtime. This means your agent always receives a predictable, typed Python object, which is perfect for production code.

Yep. Your agent can call `upload_shangqian_template` and the resulting template ID is returned as a strongly typed integer, keeping your workflow clean.

Start by using `get_contract_details` to gather metadata, then use that ID in `sign_contract_now`. The type safety of Pydantic guides the entire sequence.

Absolutely. That's its whole point. If the underlying API gives back a field that doesn't match your expected schema, Pydantic throws an error immediately.

It handles User Certificates and Contract Metadata. This includes the specific details about who signed the document, when it was created, and what templates were used.

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