AI-Lint Behavior Control

MCPOfficialOpen SourceMIT17.8

by ToyB0x • Legal & Compliance

A platform MCP server that enforces and manages AI behavior rules across development artifacts and LLM interactions.

Example Use Cases

1
Enforce organization-wide AI behavior and style rules when generating code, documentation, or other artifacts.
2
Validate and auto-fix documentation according to defined documentation standards.
3
Integrate with an MCP server to load remote rule registries and customize LLM outputs for team-specific workflows

Description

AI-Lint is a rule-driven platform that loads rules from a Rule Registry to control AI assistant behavior across code, documentation, workflows, and LLM outputs. It offers a flexible rule system, a registry for local or remote rule loading, and integration with an MCP server for seamless enforcement. Additional features include documentation standards enforcement, auto-fix capabilities, and tooling to create or share rules for cross-team collaboration and workflow optimization.

Quick Actions

View on GitHub

Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D44/100

4/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelUnknown

Capabilities0 Tools / 0 Prompts / 0 Resources

OwnerToyB0x

CategoryLegal & Compliance

DependenciesStandalone