Carrot auto-writes specs and catches AI code drift. MCP server for Cursor that AST-validates every commit.

Validation gates, plan checks, and token-budget guardrails for AI coding agents.

A specialized Model Context Protocol server for MUSHCODE development assistance. Provides AI-powered code generation, validation, optimization, and examples for MUD development.

An intelligent MCP server that acts as an AI tech lead for coding agents—providing expert validation, impact analysis, and strategic guidance before code changes are made

MCP server providing 70+ developer tools - QR codes, PDFs, screenshots, crypto prices, email validation, AI text processing, and more. Use with Claude Code, Cursor, Windsurf, and other AI coding assistants.

An AI tech lead in server form—this intelligent MCP agent validates your coding agent's strategy, analyzes impact, and catches critical issues before any code is written. Like having a senior engineer review every approach, ensuring thoughtful architecture and fewer regressions.

Agent-agnostic development harness for AI coding agents — gated phase pipeline with a next-step trajectory engine, built-in MCP server, craft skills library, and deterministic gate validation. Works inside Claude Code, Codex, Cursor, VS Code, and any MCP-

MCP Server for the No2Bounce Email Validation API — validate single emails and bulk lists via Claude Desktop, Cursor, Windsurf, VS Code, and any MCP-compatible AI client.

A type system, state validator, and safety firewall between AI coding assistants and physical instruments — schema-driven, MCP-native, zero hardware knowledge in the engine.

MCP server for ValidKit email validation. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible AI assistant

MCP server for Zig — AI-powered code analysis, validation, and documentation with fine-tuned LLM

The MCP server inside the Pipelex plugin: validate, prepare and run AI methods on Pipelex from a coding agent.

The MCP server inside the Pipelex plugin: validate, prepare and run AI methods on Pipelex from a coding agent.

Let AI coding agents (Claude Code, Codex) build, validate and run chaiNNer workflows without the GUI. CLI + MCP server + agent skill.

MCP server that serves your team's coding standards to AI assistants — guideline documents as readable resources, plus search, validation and scaffolding tools. Ships with a VS Code chat agent.

File-based architecture-as-code: describe systems as strict YAML, validate the graph end-to-end, export for AI agents

Local merge gates for AI coding agents with scope, validation, risk, and review evidence

AI agent skills for enterprise architecture (Claude Code plugin + MCP server): interviews and docs into validated ArchiMate 3.2 models, views, ISO 42010 docs and governance, in git.

MCP server for Arc — AI agents author, validate, render, and diff architecture diagrams as code

MCP server for Arc — AI agents author, validate, render, and diff architecture diagrams as code

Read-only MCP server for dspack: design-system queries, generation context, and surface validation for AI coding agents. No network, no shell, no writes.

MCP server for 1C:Enterprise managed form generation, validation, conversion and search. Supports three formats: Configurator (logform), Managed, EDT (form:Form). 18 tools for Claude Code / AI agents.

Translate COBOL to Python. Zero dependencies, 100% valid output on 5,288 files. MCP server for AI coding assistants.

Security-hardened Canva MCP server for Claude Code and AI assistants with auth middleware, XSS protection, CORS hardening, and input validation.

Local kanban board and planning workflow for AI coding agents. A Claude Code plugin + MCP server: cards move through queue, planning, doing and validation with human-approved plans, in a live web UI. 100% on your machine, no account, no cloud.

Local-first AI modding workbench for RimWorld 1.6: Def indexing (game + installed mods), typed-plan generation, static validation, deterministic builds, Player.log storm diagnosis — MCP for Hermes / Claude Code / Codex.

AI agents run Google Ads and ChatGPT Ads with guardrails in code: plan/validate/commit, approvals, audit log. Plus AEO and direct-mail tools. Local, open source.

The AI that asks why. A Claude Code plugin that refuses to let founders write product code until they've validated with real customers. 13 skills (concierge onboarding, adversarial customer roleplay, optional gbrain bridge) + brain MCP. Free, MIT.

Open-source Model Context Protocol (MCP) server for the Xgram cryptocurrency exchange — quote rates, create crypto swaps, validate addresses, and track exchange status from Claude Code or any AI agent.

An MCP server for planning, execution and validation: Structured reasoning (think_*) + execution tracking (ship_*) + roadmap + signals for AI coding agents. Rust · stdio + Streamable HTTP · git-native, Agent-Trace-compatible traces.

Durable project memory for AI coding agents (Claude Code, Codex, Cursor, Gemini CLI): decisions and bug post-mortems as markdown pages in your repo, BM25F search via CLI or MCP server, validated writes. No server, no database, stdlib-only Python.

MCP server that gives AI agents (Claude Code, Claude Desktop, Cursor, VS Code, Windsurf) the Lacspace tools: fetch and scrape pages, crawl sites, extract PDF/DOCX/PPTX/EPUB, audit SEO, enrich domains, check uptime and TLS, validate emails, find leads. One

Blockend CLI — shadcn/ui-style backend blocks for TypeScript. Generate production-ready rate limiting, validation, logging, and error handling as source code into Express, Fastify, Hono, or Next.js projects. You own the code. Ships an MCP server for AI co

A Model Context Protocol (MCP) server that exposes Specmatic's contract testing capabilities to AI coding agents like Claude Code. This server enables comprehensive API contract validation and mock server management for development workflows.

MCP server giving AI agents 27 API tools: email/phone validation, geocoding, timezone conversion, DNS/WHOIS, SSL inspection, web scraping, screenshots, NLP, and more. Plug-and-play with Claude Code, Claude Desktop, Cursor, Cline, and any MCP client.

Apple Podcasts MCP server and CLI for Claude Code, Codex and AI agents. 32 tools for podcast search, chart rank tracking, listener reviews, RSS feed parsing and validation, on-device transcript search, and Apple Podcasts Connect analytics.

Amazon Connect workspace for Kiro and Claude Code: two MCP servers with 10 doc-research and JSON-validation tools, 10 authoring skills for flows, views, AI agents, and CDK, plus 13 steering catalogs kept current by refresh scripts.

Human factors research translated into design standards, code examples, and an MCP server for AI-assisted validation.

When code is written, modified, or debugged by AI agents, those changes must be validated and reasoned about using structured observability data — not unstructured logs or stdout.

MCP server that lets AI coding agents (Claude, Cursor, Copilot) parse, validate, and explain cron expressions. Catches silent cron bugs before deployment.

MCP server that lets AI coding agents add smart-glasses capabilities to Android and iOS apps — scaffold, validate, and simulate before touching hardware

⚔️ Stress-test your product and startup ideas before writing code. An adversarial AI tool for multi-role debate, synthetic user feedback, and validation planning.

MCP server that provides real-time validation feedback when AI assistants generate Silverstripe 6 PHP code. Catches common migration issues from Silverstripe 5 to 6 before they reach your codebase.

YAML DSL for designing application feature logic — validate it, visualize it (VS Code canvas, Mermaid, Obsidian), and let AI agents read and write it via MCP

Atomus MCP server: components, props, tokens, patterns, Figma-to-code, validation, setup files and brand ramps for AI agents (stdio via npx, or remote at mcp.atomus.io).

🔌 Exposes AGENTS.md Linter over MCP — validates the cross-vendor coding-agent spec. Security smells + consistency lint. MIT. By MEOK AI Labs.

Enterprise-grade Machine Learning experimentation control plane for AI agents via Model Context Protocol (MCP). Train, validate, and diagnose 7 tabular architectures (LightGBM, XGBoost, CatBoost, RF, SVM, MLP) with zero arbitrary code execution.

A branch-aware, dual-revision epistemic ledger and control plane for AI coding agents. From requirements and isolated work to validated changes and durable, queryable project truth.

Mynahcast is an agent-first social media scheduler. The AI agent you already use (Claude, Claude Code, ChatGPT, Cursor, Codex, Gemini and others) drafts, validates and schedules posts in your brand's voice. A person approves every agent post before it goes out.

Unofficial MCP server that makes AI-generated USWDS code compliant: official component markup, a USWDS class-level validator, an accessible page composer, and integration recipes.

Zero-sidecar MCP server inside the Godot editor. AI agents (Claude Code, Cursor) inspect, author, run and SEE your game. GDScript + C#, validate-before-write, no Node.js. Godot 4.2+. Free Lite; Full adds autonomous playtesting.

Apple Podcasts MCP server for Claude Code and AI agents. 32 tools for podcast search, chart rank tracking, listener reviews, RSS feed parsing and validation, on-device transcript search, and Apple Podcasts Connect analytics.

Local MCP server with exact file tools for AI assistants: compress, resize and convert images (HEIC, WebP, AVIF), strip EXIF/GPS metadata, make and read QR codes, exact text counts, diff, JSON validation. Files never leave your computer.

MCP (Model Context Protocol) server for secure SSH remote command execution. Enables AI assistants like Claude, Cursor, and VS Code to execute commands on remote servers via SSH with command validation, history tracking, and web-based configuration UI.

Apple Podcasts MCP server and CLI for Claude Code, Codex and AI agents. 32 tools for podcast search, chart rank tracking, listener reviews, RSS feed parsing and validation, on-device transcript search, and Apple Podcasts Connect analytics.

**Run GPU workloads, deploy AI models, access inference APIs, and execute AI agents using Badgr's MCP server.** Badgr is an AI compute and workload execution platform for developers, coding agents, and AI assistants. Run workloads on cloud GPUs or compatible customer-owned GPUs (BYO GPU), with cost controls, execution logs, and verified results. **What can Badgr do?** - **GPU Compute / AI Workloads:** Run Python scripts, machine learning jobs, batch inference, and supported ComfyUI workflows. - **AI Model Deployment:** Deploy and serve LLMs using compatible runtimes such as vLLM and SGLang. Get a verified, OpenAI-compatible inference endpoint. - **AI API / LLM Inference:** Make AI API requests with response validation, supported fallback routing, and bounded execution. - **AI Agent Execution:** Launch coding and testing agents, run tasks, check acceptance criteria, and retrieve execution receipts. **Key features:** Cloud GPU execution, BYO GPU support, model serving, AI agent jobs, workload verification, execution logs, cost limits, and deployment management. Connect Badgr to your MCP-compatible AI assistant to execute real workloads instead of just generating instructions. Get started: https://aibadgr.com **Requires a Badgr API key. GPU workloads and other paid execution may incur usage charges.**

SAP ABAP MCP is a local-first Model Context Protocol server that enables AI coding agents to develop, test, analyze, and operate SAP ABAP systems through the official ABAP Development Tools HTTP services. It supports repository search and source editing, structured DDIC workflows, enhancement inspection, paged package navigation, source-backed object creation, semantic services, activation, ABAP Unit and ATC, transports, abapGit, RAP generation, debugging, bounded class and executable-program profiling, runtime dumps, traces and feeds, cross-system comparison, dependency analysis, guarded refactoring, and an opt-in same-origin Screen/GUI Status bridge. Curated compact, development, and assurance presets reduce tool-schema token use without removing capabilities from the default surface. The default local stdio mode can be extended with governed self-hosted Streamable HTTP, API-key roles, OIDC/JWT authentication, request-scoped SAP bearer forwarding, per-session isolation, rate limits, structured audit logs, or a side-effect-free embeddable Node.js API. It also includes browser OAuth Authorization Code with PKCE, a read-only transport assurance CLI and GitHub Action, BTP service-key profile import, and live-SAP evidence tooling. SAP profiles and credentials remain on the user's computer, with passwords and OAuth credentials protected by macOS Keychain or Windows DPAPI. SAP-dependent capabilities are validated against the user's own SAP release, configuration, and authorizations.

# Machship MCP Server Connect your AI assistant to the Machship freight platform and manage shipping operations directly through natural language. Machship MCP enables AI agents to interact with freight workflows including consignments, quotes, carriers, labels, manifests, locations, and business entities. ## What you can do - 📦 **Consignments** — create, update, search, track, and manage shipments throughout their lifecycle - 💰 **Quotes** — retrieve carrier pricing, compare services, and evaluate transit options - 🏷️ **Labels & Manifests** — generate shipping labels, create manifests, and manage carrier bookings - 🚚 **Carriers & Services** — discover available carriers, routes, and delivery options - 📍 **Locations** — search, validate, and manage pickup and delivery addresses - 🏢 **Companies & Identities** — manage organisations, users, and account relationships - 📎 **Additional workflows** — handle attachments, invoices, custom schemas, and shipment consolidation ## Coverage **125 tools across 21 modules** providing broad access to the Machship API through a single MCP server. ## Compatible clients Works with any MCP-compatible client, including: Claude Desktop · Cursor · VS Code · Windsurf · Goose · Warp · LM Studio ## About Built by [Devkind](https://devkind.com.au) — delivering modern software solutions and AI-powered integrations for businesses worldwide.

# Fashion E-Commerce Intelligence MCP Server Empower your AI agents, copilots, and assistants with vertical domain-specific fashion intelligence. Built by [alexgenovese.com](https://alexgenovese.com), this Model Context Protocol (MCP) server provides automated **SEO auditing, category trend research, DTC demand forecasting, CRM segment enrichment, and campaign creative generation**—designed natively for Cursor, Claude Desktop, Claude Code, and any MCP-compatible environment. --- ## ⚡ What It Does | Capability | Without this server | With Fashion MCP | |---|---|---| | **SEO Auditing** | Manual checklists, generic advice | Automated **0-100 score** across 5 dimensions with fashion-specific validation (fit, material, color, season, schema, OG, Twitter Cards). | | **Trend Research** | Generic search queries | Deep category-level trend intelligence (trending keywords, colors, silhouettes, price tiers, market fit, confidence). | | **Demand Forecasting** | Spreadsheets & gut feel | Explainable weighted-rule forecast model: `baseline × trend × media × retention × inventory × seasonality` with backtesting. | | **CRM Segment Enrichment** | Static email lists | Customer segments enriched with trending colors/silhouettes/keywords, audience clusters, and ready-to-send targeted messaging. | | **Campaign Creative** | Standard copywriters per channel | Platform-specific campaign themes, hooks, value propositions, and ready-to-use creative briefs grounded in real-time trend data. | --- ## 🔧 Exposed Tools - `product_seo_audit`: Audit any fashion product listing for SEO best practices, structured schema, meta tags, and fashion relevance (fit, size, material). - `fashion_trend_analysis`: Analyze fashion trend data mapped from search engine and social media queries. *(Receives search data input seamlessly, no API key required)*. - `fashion_category_demand_outlook`: Get a rapid, light demand pulse check for a specific product category in a target market and season. - `fashion_dtc_forecast_analysis`: Generate complete DTC demand forecasts with scenario planning (base/upside/downside) and stock-out/overstock risk analysis. - `fashion_customer_trend_enrichment`: Map trending keywords, colors, and silhouettes onto existing CRM customer segments for targeted email/SMS campaigns. - `fashion_campaign_theme_recommendation`: Recommend conversion-optimized ad campaign themes, hooks, and creative briefs for Meta, Google, TikTok, or Email. --- ## 🔐 Privacy & Technical Features - **No API Keys Required:** All analysis, SEO audits, demand forecasts, and CRM enrichment tools run locally with the data you supply. Upstream search data for `fashion_trend_analysis` uses your existing Tavily MCP server. - **Explainable Outputs:** Every tool returns explicit `assumptions[]`, `dataGaps[]`, and `confidence` scores, so your agent always understands the reasoning behind recommendations. - **Zero-Config Local Cache:** Uses a local SQLite persistence layer (`~/.fashion-mcp/store.db`) to cache snapshots, feature stores, and forecast actuals for backtesting. ## 💻 Local Installation To install this stdio-based server locally via Smithery: ```bash npx smithery install alexgenovese/ecommerce-fashion-market-analysis ```

An MCP server that inspects your local development environment and reports missing dependencies, version mismatches, and misconfigured environment variables to any MCP-compatible AI assistant.