Judge.me MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Judge.me through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Judge.me "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Judge.me?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Judge.me MCP Server
Empower your AI agents with Judge.me's comprehensive product review platform. This MCP server allows you to list and retrieve product reviews, track customer questions and answers, manage coupons, and view shop settings directly through the Judge.me API. Ideal for automating social proof management and customer feedback analysis.
Pydantic AI validates every Judge.me tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
The Judge.me MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Judge.me to Pydantic AI via MCP
Follow these steps to integrate the Judge.me MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Judge.me with type-safe schemas
Why Use Pydantic AI with the Judge.me MCP Server
Pydantic AI provides unique advantages when paired with Judge.me through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Judge.me integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Judge.me connection logic from agent behavior for testable, maintainable code
Judge.me + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Judge.me MCP Server delivers measurable value.
Type-safe data pipelines: query Judge.me with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Judge.me tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Judge.me and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Judge.me responses and write comprehensive agent tests
Judge.me MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Judge.me to Pydantic AI via MCP:
get_product
Essential for providing a summary of a product's performance. Retrieves details for a specific product
get_question
Use this before preparing an official answer. Retrieves details for a specific question
get_review
Returns deep-dive information including metadata and moderation status. Use this when analyzing a particular customer case or response. Retrieves details for a specific review
get_settings
me app for the shop, including review widgets and email settings. Useful for system configuration auditing. Retrieves shop settings for Judge.me
list_answers
Use this to audit responses and check if queries have been resolved. Lists all answers to questions
list_coupons
me (often used as rewards for reviews). Useful for auditing incentive programs. Lists all active discount coupons
list_medias
Essential for analyzing user-generated content (UGC). Lists all media (images/videos) attached to reviews
list_products
me. Includes product names, IDs, and aggregate review counts. Use this to identify products for review analysis. Lists all products in the shop
list_questions
me Q&A feature. Returns question text, status, and IDs. Use this to identify customer inquiries that need answers. Lists all customer questions
list_reviews
me platform. Returns reviewer names, ratings, review titles, and bodies. Use this to monitor customer sentiment and analyze product feedback. Lists all product reviews
Example Prompts for Judge.me in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Judge.me immediately.
"List all recent product reviews in Judge.me."
"Show me the questions asked for product ID '123'."
"Check for any active discount coupons."
Troubleshooting Judge.me MCP Server with Pydantic AI
Common issues when connecting Judge.me to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiJudge.me + Pydantic AI FAQ
Common questions about integrating Judge.me MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Judge.me with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Judge.me to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.