"common room" matching MCP servers:

Static scanner for MCP/agent-gateway readiness anti-patterns, providing a 7-dimension R/Y/G score by scanning code and config for common failure modes.

MCP server that provides shell script linting via ShellCheck. Allows AI agents to analyze shell scripts for common errors, stylistic issues, and potential bugs.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

A local-first MCP server that indexes code repositories and enables AI assistants to search, fetch, and navigate code using BM25 hybrid retrieval, supporting common languages and tools like Codex and ChatGPT.

Lints local Markdown files or whole directory trees for broken relative links and images, empty link targets or text, heading hierarchy problems, and common README issues. Only relative targets on disk are checked, so external http(s) links are never fetched.

Provides code review and guideline loading based on Andrej Karpathy's coding principles, helping LLMs avoid common pitfalls like over-engineering and unnecessary changes.

An MCP server that exposes e18e module replacement data. It helps AI assistants suggest lighter, faster, or native alternatives to common JavaScript/Node.js packages.

Provides tools for managing tasks, searching docs, and running a heuristic quality gate to check agent output for common issues before human review.

Encodes a TypeScript/JavaScript codebase into a deterministic PNG heatmap that vision-capable AI models can read to bypass token limits for codebase-scale audits.

Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.

MCP server that helps coding LLMs avoid re-solving common problems by serving verified minimal code samples and compatibility evidence, with tools to search, retrieve, and explain known solutions across languages and environments.

Provides instant access to MCP development documentation, best practices, production checklists, common mistakes, architecture patterns, and testing strategies to help developers build production-ready MCP servers.

Provides MCP tools for common developer operations like file outlining, git commit context, test summary, process management, and waiting for conditions, returning structured JSON to reduce token usage.

Provides local codebase intelligence as an MCP server, enabling AI agents to query dependencies, assess change impact, and produce tamper-evident change evidence packets.

Enables coding assistants to check code for common health-data mistakes locally without an account, and, with a configured core service, de-identify clinical text, restore placeholders, and append tamper-evident audit log entries.

MCP server providing configuration file tools for AI agents. Parse, validate, merge, convert, and diff configuration files across all common formats.

Enables coding agents to load frontend anti-slop rules and deterministically verify generated React, Next.js, and Tailwind UI before completion. It audits for common AI-generated patterns, checks stylesheet/token wiring, provides real or placeholder images, and verifies TypeScript compilation.

Enables semantic search, AST exploration, and relationship graph analysis for the cc-common Slot Framework SDK in Cocos Creator 2.4 via Model Context Protocol.

An MCP server that statically audits Solidity smart contracts for common vulnerabilities like reentrancy and access control, enabling developers to identify and fix security issues via natural language.

AI-powered static analysis for Unity projects, detecting common patterns, component relationships, and programming insights to augment developer workflows.