"A service for finding coding review resources and best practices" matching MCP servers:

A Model Context Protocol (MCP) server for producing better Terraform through CLI analysis (tflint, checkov, trivy, kics, infracost), best-practice guidance from terraform-best-practices.com, cloud provider recommendations (Azure, AWS, GCP), and Terraform Registry resource and module guidance.

Enables searching ServiceNow's public best-practices library across content types without authentication.

Provides disposable email inboxes for AI assistants to sign up, receive emails, and extract verification codes.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Cited cloud best practices and a rules-based review of Terraform, CloudFormation, and Kubernetes, answering with the provider's own sentence and link. Runs locally and calls no AI model; a free work-email key opens every finding.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Approved public replies to customer reviews. An assistant can only send a reply that matches stored wording. A 14-day trial, then Pro. The price is only at checkout.

Enables Claude Desktop users to get second opinions and answers from ChatGPT through the Codex CLI, including document reviews with optional focus/rubric and question answering with context.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables MCP clients such as Claude, Claude Code and Cursor to keyword-search a directory of over 1,000 hand-picked productivity tools, apps, AI tools, courses and books, filtering by category, type, pricing and result limit, and to fetch a single listing by slug, page URL or exact name and list all categories with counts. It runs read-only over stdio with no API key, dependencies or tracking, making only a plain GET of the public catalogue.

Enables code-review gating by converting a git diff into a typed verdict with safety probabilities, severity, and recommended actions for auto-merge or human review.

Enables supervising and orchestrating local coding agents like Muse and AGY through a client-agnostic MCP interface, with isolated Git worktrees, safe execution, and deterministic verification.

Enables Claude to interact with R package development workflows, including CRAN metadata lookup, dependency checking, testing, documentation validation, and release automation.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

MCP server orchestrating API-first cross-review between Claude, ChatGPT Codex, Gemini, DeepSeek, Grok, and Perplexity with unanimous convergence gates.

Enables delegating coding tasks to multiple AI CLI agents (Claude Code, Antigravity, Codex, Cursor) with session memory and diff inspection.

A transport-agnostic MCP server that integrates multiple AI coding agents (Claude Code, Gemini, and Codex) with built-in tools for command execution, calculations, and streaming capabilities. Supports both STDIO and HTTP transports for flexible deployment.

Enables AI coding agents to receive continuous, structured software-quality feedback from Jev across multiple quality dimensions while working locally.

An MCP server for automated code review of GitHub pull requests. It checks security, quality, and license issues, and provides tools to list, inspect, and review PRs.

Enables AI code review to query semantic LSP context such as hover and definition against a specific Git commit or candidate, with verifiable receipts for the exact code state under review.

Provides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.

A collaborative code and markdown review tool that bridges human reviewers and AI agents, enabling both to browse files, inspect git diffs, leave structured comments, and save a final review report from the same UI in real time.

A production-oriented MCP server for coding agents that enables multi-project management through secure file operations, Git integration, and safe command execution. It supports project discovery across multiple root directories and provides robust audit logging with both STDIO and HTTP transport options.

Experimental MCP server for local LLM orchestration with filesystem tools (read, write, list, delete files) and a CLI agent that communicates via Ollama.

Provides offline, line-level code review for Spring and MyBatis changes, analyzing git diffs to catch issues like @Transactional self-invocation, N+1 queries, and ${} injection without needing an API key.

Local MCP server for collecting visual review feedback from a live local HTTP preview target. It serves a browser Review UI, stores region annotations, and exposes finalized review sessions to agents through MCP tools.

Captures a coding agent's session into an Intent Document, enabling guided and verifiable pull-request reviews on GitHub.

A local-first, auditable code review MCP server that freezes Git changes, creates immutable ReviewBundles, provides role-isolated contexts for correctness, security, architecture, and test reviewers, validates structured findings, and generates deterministic JSON/Markdown reports.

A unified HTTP/HTTPS service that exposes Model Context Protocol (MCP) functionality over HTTP endpoints, allowing clients to list available tools and call them through a standardized API.

Enables freelancers to create, store, render, and manage service agreements with scope, deliverables, rate, termination, liability, and signature blocks, including a before-send checklist and clause library.