"A content research and creation service for article writing with SEO optimization" matching MCP servers:

Enables AI-powered Ghost CMS blog management through Claude Desktop with content generation, image creation, and complete post management. Integrates Google Gemini for content generation and Flux/Imagen for feature images with GitHub OAuth authentication.

Multi-source article and tutorial research for agent planning, providing deduplicated ranked briefs from dev.to, Hacker News, and configurable RSS feeds with optional LLM scoring.

Plan SEO pages in an SEO Content Machine Workspace, then have its page agents research, write and review each page as a draft. A stdio bridge to the SCM desktop app, which must be running on the same machine.

Combines Naver DataLab trends, blog/news search, translation, and Unsplash images into a single research pipeline for content creators. Generates comprehensive research reports from a single query.

Provides SEO audits, content analysis, and domain overviews through an MCP server, including on-page, technical, and authority metrics with built-in browser rendering and anti-bot handling.

Enables AI-powered IDEs to perform SEO research including backlink analysis, keyword generation, traffic estimation, and keyword difficulty using Ahrefs data and CapSolver for CAPTCHA solving.

Lets Claude Code and other MCP clients drive the SEO Content Machine desktop workspace on the same machine: starting and running tasks that scrape search results, crawl a site's internal links, pull Google Maps listings with ratings and reviews, download archive.org copies, extract page values into CSV, and add or update SEO Workspace pages, then read their results.

Enables private single-user research workflows through search, page reading, document conversion, cached evidence retrieval, RSS, and interactive Chromium/Camoufox browsing over authenticated HTTP.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.

SERP-based content scoring and optimization with 7 SEO categories.

A fully offline MCP server for token estimation, prompt compression, model routing, and semantic caching to optimize LLM usage costs and efficiency.

Enables solving complex combinatorial optimization problems with logical and numerical constraints through multiple solvers (Z3, CVXPY, HiGHS, OR-Tools). Specializes in portfolio optimization, scheduling, resource allocation, and constraint satisfaction problems.

MCP server for AI-driven document creation, enabling generation of PowerPoint decks with consistent design themes and auto-generated images via ComfyUI.

Enables users to plan and create applications on a Coolify instance from container images, Git repositories, inline Dockerfiles, and repository-based Docker Compose, while validating ownership and returning deployment webhooks.

Full-stack AI marketing toolkit with 41 MCP tools: SEO article generation in 55 languages, trend scouting (X/Reddit), competitor analysis, content gap detection, social media adaptations for 9 platforms, AI avatar video shorts, content ingestion (YouTube/PDF/web), lead magnets, and automated content autopilot.

Enables Claude to perform full SEO audits on unpublished HTML, Markdown, or Word documents, including keyword analysis, meta tag suggestions, readability scoring, and heading structure validation.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

MCP server offering text analysis tools for writing improvement, including spellcheck, readability, keyword analysis, passive voice detection, and AI-generated content detection.

MCP server that connects AI clients to a browser extension for extracting articles from web pages and saving them as drafts to multiple content platforms.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Enables fixed-owner authoring and auditing of Bethesda game content, covering Creation Kit tools, TES records, Papyrus scripts, assets and archives, BMKB knowledge, authenticated Vortex operations, runtime verification, packaging, and release readiness. All target-changing operations require explicit confirmation, context snapshots, archive receipts, and authorization notes, while read-only knowledge and audit targets remain available for earlier Bethesda titles and Fallout 76.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

Enables AI Agents to retrieve WeChat public-account article content from HTTPS links, returning the title, account name, and full plain text while saving HTML and TXT archives locally. It is subject to WeChat verification, login, and paywall limits.

Generates EU AI Act Article 50 transparency disclosures for AI features, in all 24 EU languages, with copy-paste HTML snippets and determines which rules apply.

Enables multi-source literature search, full-text retrieval, reference analysis, and journal quality assessment across Europe PMC, PubMed, arXiv, CrossRef, OpenAlex, and EasyScholar via the MCP protocol.

Enables AI agents to define variables, objectives, constraints, and budgets, then run single-objective mixed-variable genetic algorithm optimizations in isolated worker processes and receive structured, comparable results.