How to Use the Contract Review Prover MCP in Pydantic AI
Enforce strict, type-safe contract risk validation in your Pydantic AI workflows with this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Contract Review Prover MCP to Pydantic AI
Create your Vinkius account to connect Contract Review Prover 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.
Validate clause risks with type-safe schemas
The `validate_contract_review` tool forces your agent to return structured, validated contract assessments instead of unstructured text. It scores each clause from 1 to 5, calculates financial exposure, and maps specific countermeasures under strict schemas. By running this through Pydantic AI, any unexpected output from the underlying model triggers a loud runtime error. This prevents silent failures or hallucinated risk metrics, ensuring your legal pipeline only processes valid data.
Catch missing protections without silent failures
The `validate_contract_review` tool checks for ten essential protections, from liability caps to dispute resolution. It outputs a strict schema showing exactly which clauses are present and which are missing. This structured approach integrates perfectly with your type-safe agent pipelines. If a critical protection like intellectual property ownership is missing, your system can raise a validation exception immediately, halting the workflow before any signature occurs.
Quantify jurisdiction and financial exposure via MCP Server
The `validate_contract_review` tool calculates financial exposure using a strict scenario, probability, and impact formula. It also parses governing law and dispute venues to detect cross-border enforcement risks. Using this MCP Server with Pydantic AI means your financial models receive clean, typed floats and integers instead of loose text strings. You can confidently feed these numbers into downstream billing or risk-management systems.
Set up Contract Review Prover 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"contract-review-prover-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Contract Review Prover tools.",
)
result = await agent.run("List recent Contract Review Prover transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Contract Review Prover. 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 Contract Review Prover MCP in Pydantic AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Contract Review Prover MCP today
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