Norma MCP Server
Activates FastAPI-specific rulesets for deterministic code review, covering security, performance, scalability, manageability, maintainability, and architecture.
Provides deterministic code review for JavaScript files, checking code against stack-specific rulesets that cover security, performance, scalability, manageability, maintainability, and architecture.
Provides deterministic code review for PHP files, checking code against stack-specific rulesets that cover security, performance, scalability, manageability, maintainability, and architecture.
Provides deterministic code review for Python files, checking code against stack-specific rulesets that cover security, performance, scalability, manageability, maintainability, and architecture.
Activates React-specific rulesets for deterministic code review, covering security, performance, scalability, manageability, maintainability, and architecture.
Activates SQLAlchemy-specific rulesets for deterministic code review, covering security, performance, scalability, manageability, maintainability, and architecture.
Activates a Supabase ruleset covering 12 rules, including no service-role keys outside the server, no hardcoded keys or project URLs, mandatory error checks on mutations, no client-side JWT decoding, and rate limiting on edge functions.
Provides deterministic code review for TypeScript files, checking code against stack-specific rulesets that cover security, performance, scalability, manageability, maintainability, and architecture.
Activates Vite-specific rulesets for deterministic code review, covering security, performance, scalability, manageability, maintainability, and 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., "@Norma MCP ServerReview my changes against our stack rules and register the fixes."
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.
Norma by Quality Clouds: MCP Server
Norma by Quality Clouds checks AI-written code against your rules as it is written, and keeps a record of what it found.
Norma gives your coding agent the rules for your detected stack before it writes, checks each file against them, and records the outcome. The same file and the same rules return the same verdict every time, so what you get back is a record you can show someone rather than an opinion that changes between runs.
Remote server (Streamable HTTP):
https://api.qualityclouds.ai/mcpAuth: OAuth. Sign in via browser on first connection. Permanent free tier.
Requires a linked repository:
live_checkonly runs on a repository linked in your Norma account (GitHub or Bitbucket). Your code is never stored thereWorks with Cursor, Claude Code, Lovable, Replit and any MCP-compatible client
Stacks covered: TypeScript, JavaScript, Python, PHP, Dart and Flutter, Node, React, Vite, Supabase, FastAPI, SQLAlchemy, Adobe Magento and more
What it does
Rulesets are stack-specific and activate automatically for the stack the server detects. A single repository scan activates rulesets across six functional areas: Security, Performance, Scalability, Manageability, Maintainability and Architecture. The Supabase ruleset alone covers 12 rules, including no service-role keys outside the server, no hardcoded keys or project URLs, mandatory error checks on every mutation, no client-side JWT decoding, and rate limiting on edge functions.
The server exposes five tools:
Tool | What it does |
| Detects your repository's tech stack, with no configuration, and returns the applicable rulesets, one per language or framework |
| Returns the rules in one ruleset: each rule's ID, name, severity, impact area, description and fix guidance |
| Deterministic check of one file against your organization's rules. Same file, same rules, same verdict every time. Nothing is stored. Runs only on a repository linked in your Norma account |
| Returns the open issues from the last full scan of the linked repository, each with the context needed to fix it |
| Records what was done in your compliance audit trail: rules verified compliant, violations fixed (file and lines), violations prevented during generation, and which model did the work |
Every session produces a structured record of what was checked, fixed and prevented. Your repository's Production-Ready Score and full findings live in your workspace at norma.qualityclouds.com.
Related MCP server: Rigour MCP
How it works
Before the first check, link your repository in your Norma account (see the 5-minute guide below). After that, a coding agent connected to Norma follows this sequence:
get_rulesets: at the start of any coding task.get_rules_for_ruleset: for each relevant ruleset ID; never skipped.The agent writes or modifies code, with those rules in context.
live_check: after each file is created or modified, before moving on.register_applied_actions: after the task, using the exact rule IDs from step 2.
To work through standing issues instead of writing new code, the agent calls get_open_issues and fixes the violations from the repository's last full scan.
Try it in 5 minutes (Claude Code)
Link your repository in Norma. Sign in at norma.qualityclouds.com (free to start, no credit card) and link the repository through the GitHub or Bitbucket integration. Live checks only run on a linked repository. Your code is never stored in your Norma account: linking tells Norma which repository a check belongs to, and
live_checkholds file content in memory only for the duration of the check.Add the server:
claude mcp add --scope user --transport http norma https://api.qualityclouds.ai/mcpCheck it connected:
claude mcp listOn first use, your browser opens to sign in.
Open a session in your local clone of the repository you linked and ask Claude Code to review a file against your coding standards. It will fetch the rules for your stack, live check the file, and register the results back to your workspace.
If a live check says the repository isn't linked, confirm it appears in your Norma account and that git remote get-url origin in your clone points at that same repository.
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"norma": {
"url": "https://api.qualityclouds.ai/mcp"
}
}
}Cursor will prompt you to sign in via browser on first connection. As with Claude Code, link the repository in your Norma account first (step 1 of the 5-minute guide), then open your local clone of it.
Lovable
Lovable supports custom MCP servers as chat connectors, so Norma works with no plugin. In your project, open the connectors panel and add a custom MCP server named Norma with server URL https://api.qualityclouds.ai/mcp (HTTP transport, OAuth: your browser opens to sign in on first connection). Then send one message, and Lovable keeps it as a standing rule for the project:
From now on, for every file you create or change, run it through Norma and fix the issues it returns.
One step that is not optional: link the project's GitHub repository in your Norma account, then paste its public GitHub URL in chat so Lovable can tell Norma which repository it is working on. Lovable's own git remote is a tokenised URL it will not send to a third party, so without the public URL live checks do not run and nothing reaches your audit trail. Your code is never stored in your Norma account.
Full guide, including troubleshooting: docs/LOVABLE.md.
Links
Sign up: norma.qualityclouds.com
Product: qualityclouds.ai/norma
Community, docs and support: github.com/qualityclouds/community
Built by Quality Clouds, the AI Code Governance platform, governing 950+ enterprise platform instances since 2017.
This server cannot be deployed
Maintenance
Related MCP Connectors
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
Security reviews for coding agents: diffs checked against your org policy and live infrastructure.
Governance copilot for AI-assisted coding. 72 packs, 532 rules, proof bundles.
Paid deterministic data-quality and execution-verification tools for AI agents.
Related MCP Servers
AlicenseAqualityDmaintenancePolicy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.733 npm5MIT
Rigour MCPofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to self-govern by scanning code for hardcoded secrets, structural violations, and AI drift in real-time, providing fix packets for automatic remediation.27MIT- AlicenseAqualityDmaintenanceEnables evaluation of AI-generated code across 45 specialized dimensions using deterministic pattern matching and optional LLM-powered deep review, acting as an independent quality gate.31339 npm7MIT
- AlicenseBqualityBmaintenanceCommit-time audit engine for AI coding agents. Scans git diffs with 24 audit rules, writes HMAC-signed tamper-evident audit history, and ships MCP tools for governance aggregation.10453MIT