GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Detects database migration table locks, terraform cost leaks, and OWASP API flaws.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Works in Claude on the web, desktop and mobile:
https://neon_innovation_lab--devops-code-auditor.apify.actor/mcpRun this in your terminal
claude mcp add --transport http devops-code-auditor https://neon_innovation_lab--devops-code-auditor.apify.actor/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"devops-code-auditor": {
"url": "https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"devops-code-auditor": {
"type": "http",
"url": "https://neon_innovation_lab--devops-code-auditor.apify.actor/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://neon_innovation_lab--devops-code-auditor.apify.actor/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account Ansarii, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
This server inspects codebases across three mission-critical engineering vectors:
gp2 EBS volumes (gp3 provides equal durability with ~20% baseline cost reduction and higher baseline IOPS).associate_public_ip_address = true incurring hourly AWS IPv4 charges ($0.005/hr/IP).aws_cloudwatch_log_group missing retention policies (preventing infinite unbudgeted log ingestion costs).CREATE INDEX missing CONCURRENTLY (which acquires an EXCLUSIVE lock and halts table writes in production).ADD COLUMN ... NOT NULL DEFAULT rewriting every table row under an ACCESS EXCLUSIVE lock.SELECT ... FOR UPDATE missing LIMIT or SKIP LOCKED, preventing deadlocks.NEXT_PUBLIC_ that leak into public client browser bundles.This server implements the official Model Context Protocol specification (tools/list and tools/call):
audit_devops_repositoryClones a public Git repository shallowly without executing hooks, performs AST and regex static syntax audits, and returns structured findings and a formatted Markdown report.
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/ or prisma/migrations/).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 tableaudit_devops_codeDirectly audits a raw code snippet of Terraform (HCL), PostgreSQL migration (SQL), or Next.js API/Server Action code.
code (string, required): The source code string to audit.file_type (string, optional, default: "auto"): One of "terraform", "postgres", "nextjs", or "auto".audit_local_devops_directoryAudits a local filesystem directory on the host machine before submitting a Pull Request or deploying to staging.
directory_path (string, required): Absolute filesystem path to the target folder.Add the server to your claude_desktop_config.json:
{
"mcpServers": { "devops-code-auditor": { "command": "python3", "args": ["/path/to/devops-code-auditor/server.py"] } } }
In Cursor, navigate to Settings → Features → MCP → Add New MCP Server:
devops-code-auditorcommandpython3 /absolute/path/to/devops-code-auditor/server.pyRun the isolated container via Docker:
{
"mcpServers": { "devops-code-auditor": { "command": "docker", "args": [ "run", "-i", "--rm", "ghcr.io/ansarii/devops-code-auditor" ] } } }
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);" } ] }
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.
MIT License — Copyright (c) 2026 Neon Innovation Lab. Maintained by Neon Innovation Lab.