mcpField
G
GenPark JSON Schema Contract Validator

GenPark JSON Schema Contract Validator

Local
genpark.aiDeveloper Tools7Updated 6d ago

About GenPark JSON Schema Contract Validator

GenPark JSON Schema Contract Validator is a Python tool for validating LLM structured outputs against tool contracts. It runs as an MCP server or can be imported as a library, with no third-party runtime dependencies.

Key features

  1. 01Validates JSON Schema subsets
  2. 02Checks LLM outputs against tool contracts
  3. 03Runs on the Python standard library

Use cases

  1. 01Checking structured output before a tool call
  2. 02Validating contract-shaped LLM responses

MCP support

Exposes JSON Schema contract validation to MCP clients as an MCP server.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-json-schema-contract-validator-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GenPark JSON Schema Contract Validator

License: MIT Python Standard Library Model Context Protocol GenPark

Zero-dependency JSON schema subset validator ensuring LLM structured outputs strictly conform to tool contracts.

Part of the GenPark AI Agent Skills Ecosystem.


🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.