How to Use the eSign (e签宝) MCP in Pydantic AI

Run bulletproof contract workflows with Pydantic AI, validating every eSign (e签宝) response at runtime via MCP.

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Connect eSign (e签宝) MCP to Pydantic AI

Create your Vinkius account to connect eSign (e签宝) 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 eSign (e签宝) with Pydantic AI

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Type-safe contract generation with Pydantic AI

Type safety prevents silent failures when your agent calls `create_sign_flow` to generate a new agreement. Your agent uses `list_templates` to fetch available contract templates. The framework validates the template structure, ensuring your agent only selects valid IDs when preparing to add documents.

Validated signer setup using this MCP Server

Adding signers requires absolute accuracy, which is why this server allows your agent to call `add_signers` with validated input models. Once validated, the agent executes `start_flow` to begin the signing loop. It then fetches the secure link via `get_execute_url` with guaranteed type safety.

Secure tracking and document archiving

Monitoring contract status becomes incredibly reliable when your agent uses `get_sign_flow` to retrieve real-time progress. When the contract is fully signed, the agent triggers `download_docs` to retrieve the final files. You can safely write these files to your storage layer knowing the metadata has been validated.

Setup guide

Set up eSign (e签宝) 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": {
        "esign-e-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent eSign (e签宝) transactions")
print(result.output)

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Common questions about eSign (e签宝) MCP in Pydantic AI

Install the slim package with MCP support. Use the MCPToolset class pointing to your Vinkius HTTP endpoint, and pass it directly into the Agent toolsets list.

The framework will catch the discrepancy immediately at the runtime boundary. It raises a validation error, preventing your agent from operating on malformed signature flow data.

Yes, Pydantic AI is model-agnostic. You can run the signature tools using OpenAI, Anthropic, or local models like Ollama as long as they support tool calling.

No, that class is deprecated. You should use the unified MCPToolset approach to connect your agent to the Vinkius-hosted tools.

The server runs in a secure, isolated V8 sandbox on Vinkius. Your signer details, phone numbers, and contract PDFs are never cached or stored on the hosting platform, passing directly to the API.

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