Pydanticcontract Mcp
Enforce Pydantic AI structured output contracts in agent tool calls through a paid remote MCP that returns verdicts, receipts, and usage logs.
Overview
Pydantic Contract is a MCP server for the Build phase that provides remote Pydantic AI structured output with verdicts, receipts, and usage logs.
What is this MCP server?
- Pydantic Contract—remote MCP for Pydantic AI structured output (pydanticcontract.clauxel.com)
- Streamable-http transport with Bearer Authorization from Clauxel
- Verdicts, receipts, and usage logs on structured-output operations
- Tags: pydanticcontract, pydantic-ai-structured-output, remote-mcp, paid-mcp, agent-tools
- Source: github.com/clauxel/pydantic-contract-mcp at registry v1.0.0
- Version 1.0.0 in MCP registry
- Endpoint: https://pydanticcontract.clauxel.com/mcp
- Transport: streamable-http with Authorization header
What problem does it solve?
Agent tool results often arrive as loose JSON that fails validation in your app, and you lack a hosted MCP seam with traceable usage.
Who is it for?
Developers building agent features who already think in Pydantic models and want a paid remote MCP dedicated to structured output contracts.
Skip if: Beginners only prototyping chat with no schemas, or teams that need fully offline open-source MCP with no Clauxel billing.
What do I get? / Deliverables
With Bearer auth configured, your agent can call the remote MCP for structured Pydantic AI output and review verdicts and logs before merging data into production code.
- Structured output operations via Pydantic AI through MCP
- Verdicts, receipts, and usage logs per call
- Documented remote endpoint and server card URL on registry
Recommended MCP Servers
Journey fit
Structured output contracts are implemented while wiring agents to backends and external tools during Build, when schemas and integrations must stay consistent. Integrations is the right subphase because the server targets Pydantic AI structured output—the boundary between LLM reasoning and typed data your app consumes.
How it compares
Structured-output contract MCP for Pydantic AI—not an agent skill that only documents model classes.
Common Questions / FAQ
Who is Pydantic Contract for?
Solo builders and small teams wiring LLM agents to typed Python or API boundaries who want Pydantic AI structured output through MCP with logging.
When should I use Pydantic Contract?
Use it during Build when integrating agents with services that require validated structured output and you want remote execution with verdicts and receipts.
How do I add Pydantic Contract to my agent?
Register for a Bearer token on the Clauxel product site, add https://pydanticcontract.clauxel.com/mcp as a streamable-http remote, and set the Authorization header.