Pioter MCP Server
Provides project structure guidance and best practices for building FastAPI applications.
Offers security checklists, deployment principles, and best practices for Kubernetes infrastructure and operations.
Delivers architecture patterns, project structure recommendations, and best practices for Python development, including FastAPI projects.
Provides best practices, refactoring advice, and checklists for React development, including guidance on React hooks and component architecture.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Pioter MCP Server What are the best practices for using React hooks?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Pioter MCP Server
Pioter is a "Best Practices Oracle" MCP server that provides dynamic advice, checklists, and patterns for various software technologies.
Features
Technology Awareness: Automatically detects the technology from your query (e.g., React, Kubernetes, Python).
Best Practices: Provides curated best practices and common mistakes.
Checklists: Offers basic and advanced checklists for reviews.
Configurable: Easily extendable via JSON configuration files.
Related MCP server: Best Practices MCP Server
Installation
Clone the repository:
git clone <repository-url> cd piotermcpInstall dependencies:
npm installBuild the project:
npm run build
Configuration
To use this server with Antigravity or any MCP client (like Claude Desktop), add the following to your MCP configuration file:
{
"mcpServers": {
"pioter": {
"command": "node",
"args": ["/Users/piotr/workspace/piotermcp/dist/index.js"]
}
}
}Running Locally
You can run the server locally for testing using the provided script:
./run_server.shNote: The server communicates via stdio (standard iasnput/output). It is designed to be run by an MCP client, not directly by a human in the terminal, although you will see it start up.
Usage
Ask Pioter about best practices, refactoring, or architecture.
Examples:
"What are the best practices for React hooks?"
"Give me a security checklist for Kubernetes."
"How should I structure a Python FastAPI project?"
Tools
refactor_advice: Get refactoring advice.technology_best_practices: Get general best practices.testing_guidelines: Get testing strategies.architecture_patterns: Get architectural recommendations.ops_deployment_principles: Get DevOps and deployment advice.security_checklist: Get security checklists.
Available Tools
2 toolsrefactor_adviceB
Get refactoring advice for a specific technology and query.
Inputs: technology (required), query (required).
technology_best_practicesB
Get best practices for a specific technology.
Inputs: technology (required), query.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 2 tools
The two tools have overlapping purposes as both provide guidance for technologies, which could cause confusion. 'refactor_advice' focuses on code improvement, while 'technology_best_practices' covers broader practices, but the descriptions are vague enough that an agent might misselect when seeking general advice. Some overlap exists, but the distinct keywords 'refactor' and 'best practices' help differentiate them.
Both tool names follow a consistent snake_case pattern with a clear noun_verb structure (e.g., 'refactor_advice', 'technology_best_practices'). There are no deviations or mixed conventions, making the naming predictable and readable throughout the set.
With only 2 tools, the server feels thin and under-scoped for a general-purpose 'Pioter MCP Server', suggesting it might not cover enough functionality. This low count could limit agent capabilities, as typical servers in this domain would offer more varied operations. It's borderline too few for effective use.
Given the inferred domain of technology guidance, there are significant gaps in the tool surface. The server lacks basic operations like searching, listing technologies, or providing examples, and there's no coverage for related tasks such as troubleshooting or implementation steps. This incompleteness will likely cause agent failures when handling broader queries.
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