DevOps & Cloud Code Auditor
RemoteAbout DevOps & Cloud Code Auditor
DevOps & Cloud Code Auditor is a static-analysis MCP server for engineering teams, checking Terraform, PostgreSQL migrations, and Next.js code for cost, locking, and security issues. It analyzes code without executing it or connecting to databases.
Key features
- 01Detect cloud cost issues in Terraform
- 02Find PostgreSQL migration lock hazards
- 03Check Next.js API security rules
- 04Audit snippets, Git repositories, or local directories
- 05Return structured findings and fix code
Use cases
- 01Check Terraform configuration before deployment
- 02Review PostgreSQL migrations before production
- 03Inspect Next.js APIs and Server Actions
MCP support
The MCP server provides tools to audit repositories, code snippets, and local directories, returning structured findings, severity information, and fix code. Analysis is static and does not execute code or connect to databases.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://neon_innovation_lab--devops-code-auditor.apify.actor/mcpclaude mcp add --transport http ansarii-devops-code-auditor https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp{"mcpServers":{"ansarii-devops-code-auditor":{"type":"http","url":"https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"}}}Open in Cursor{"servers":{"ansarii-devops-code-auditor":{"type":"http","url":"https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"}}}Open in VS Code{"mcpServers":{"ansarii-devops-code-auditor":{"type":"http","url":"https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"}}}{"mcpServers":{"ansarii-devops-code-auditor":{"serverUrl":"https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEDevOps & Cloud Code Auditor (MCP Server)
A production-ready Model Context Protocol (MCP) Server providing AI coding assistants (Claude Desktop, Cursor, Windsurf, Cline) with automated static analysis tools to prevent production outages, cloud cost leaks, and security vulnerabilities.
🌟 Capabilities & Audited Rule Sets
This server inspects codebases across three mission-critical engineering vectors:
-
Cloud Cost Leaks (Terraform / HCL / AWS):
EBS_GP2: Identifies legacygp2EBS volumes (gp3provides equal durability with ~20% baseline cost reduction and higher baseline IOPS).PUBLIC_IP: Flags unneededassociate_public_ip_address = trueincurring hourly AWS IPv4 charges ($0.005/hr/IP).CW_NO_RETENTION: Catchesaws_cloudwatch_log_groupmissing retention policies (preventing infinite unbudgeted log ingestion costs).S3_NO_LIFECYCLE: Detects S3 buckets lacking Glacier lifecycle transitions.RDS_MULTIAZ_NONPROD&RDS_PROVISIONED_IOPS_NONPROD: Flags doubled database infrastructure costs on development and staging environments.
-
PostgreSQL Migration Table Lock Hazards:
INDEX_NOT_CONCURRENT: DetectsCREATE INDEXmissingCONCURRENTLY(which acquires anEXCLUSIVElock and halts table writes in production).NOT_NULL_VOLATILE_DEFAULT: CatchesADD COLUMN ... NOT NULL DEFAULT <func()>rewriting every table row under anACCESS EXCLUSIVElock.FK_NO_INDEX: Flags unindexed foreign key constraints causing cascading table-level sequential lock scans on parent updates/deletes.FOR_UPDATE_UNBOUNDED: CatchesSELECT ... FOR UPDATEmissingLIMITorSKIP LOCKED, preventing deadlocks.
-
OWASP & Full-Stack Next.js API Security:
NEXT_PUBLIC_SECRET_LEAK: Flags sensitive tokens and private API keys prefixed withNEXT_PUBLIC_that leak into public client browser bundles.NEXTJS_SERVER_ACTION_NO_AUTH: Flags Next.js 14/15 Server Actions exporting mutations without explicit session auth verification.SQLI_RAW_INTERPOLATION: Identifies raw SQL query templates using string interpolation instead of parameterized inputs.SSRF_UNVALIDATED_FETCH: Catches external fetch calls consuming user inputs without protocol/hostname validation.
🛠️ MCP Tools Exposed
This server implements the official Model Context Protocol specification (tools/list and tools/call):
1. audit_devops_repository
Clones a public Git repository shallowly without executing hooks, performs AST and regex static syntax audits, and returns structured findings and a formatted Markdown report.
- Parameters:
repository_url(string, required): Public Git URL of the repository to audit (e.g.https://github.com/example/cloud-infra).sub_directory(string, optional): Specific subdirectory within the repository to inspect (e.g.terraform/orprisma/migrations/).
- Returns:
status: "success" | "error"total_findings: Number of detected issuesfindings: Array of detailed vulnerability records (file, line number, rule ID, severity, message, fix code)markdown_report: Human-readable summary table
2. audit_devops_code
Directly audits a raw code snippet of Terraform (HCL), PostgreSQL migration (SQL), or Next.js API/Server Action code.
- Parameters:
code(string, required): The source code string to audit.file_type(string, optional, default: "auto"): One of"terraform","postgres","nextjs", or"auto".
- Returns: Structured JSON findings with exact drop-in code fixes.
3. audit_local_devops_directory
Audits a local filesystem directory on the host machine before submitting a Pull Request or deploying to staging.
- Parameters:
directory_path(string, required): Absolute filesystem path to the target folder.
- Returns: Structured JSON findings and severity breakdown.
🚀 Client Configuration & Quickstart
1. Claude Desktop Setup
Add the server to your claude_desktop_config.json:
{
"mcpServers": {
"devops-code-auditor": {
"command": "python3",
"args": ["/path/to/devops-code-auditor/server.py"]
}
}
}
2. Cursor IDE / Windsurf Setup
In Cursor, navigate to Settings → Features → MCP → Add New MCP Server:
- Name:
devops-code-auditor - Type:
command - Command:
python3 /absolute/path/to/devops-code-auditor/server.py
3. Docker Execution
Run the isolated container via Docker:
{
"mcpServers": {
"devops-code-auditor": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ansarii/devops-code-auditor"
]
}
}
}
💻 Example Agent Usage
Once connected, your AI assistant can evaluate migration files and cloud manifests on demand:
User: "Check this PostgreSQL migration before I run it on production:
CREATE INDEX idx_orders_user_id ON orders (user_id);"
Claude (Tool Call):
audit_devops_code({
"code": "CREATE INDEX idx_orders_user_id ON orders (user_id);",
"file_type": "postgres"
})
Result:
{
"status": "success",
"total_findings": 1,
"findings": [
{
"suite": "postgres-locks",
"rule": "INDEX_NOT_CONCURRENT",
"severity": "high",
"file": "migration.sql",
"line": 1,
"message": "CREATE INDEX on \"orders\" without CONCURRENTLY blocks table writes during build.",
"fix": "CREATE INDEX CONCURRENTLY idx_orders_user_id ON orders (user_id);"
}
]
}
🔒 Security Guarantee: Zero Execution
This server executes 100% static analysis using AST pattern matching and regex verification. It never executes untrusted shell commands, arbitrary Python code, or database connections on your machine.
📜 License
MIT License — Copyright (c) 2026 Neon Innovation Lab. Maintained by Neon Innovation Lab.
Comments
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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.