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

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.

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.

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

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

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.

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.

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.

Content writing toolkit for headline generation, readability scoring, tone analysis, outline building, and plagiarism similarity checking.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

A MCP SEO tool service based on Ahrefs data, offering backlink analysis, keyword research, traffic estimation, and more.

A visual MCP server for reviewing explicit article patches with categorized comments, enabling deterministic patch validation, interactive accept/reject/edit decisions, and final article assembly.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Enables AI assistants to search Google SERPs, track rankings across locations, run Lighthouse SEO audits, find broken internal links, analyze backlinks, and get keyword volume data through a hosted service.

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

Enables AI coding agents to run Tavily-powered web searches and asynchronous, cited research through MCP, with tools for focused search, task creation, and status retrieval.

AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

SEO toolkit MCP server for analyzing meta tags, robots.txt, sitemaps, keyword density, readability, and heading structure from any AI assistant that supports MCP.

Five general-purpose stdio MCP servers for SEO: access to SERP, Wordstat, Google Search Console, Yandex.Webmaster and Yandex.Metrica straight from Claude Code (or any MCP client). All tools are read-only, output is strict JSON. Not tied to a specific site: defaults (GSC property, Webmaster host, Metrica counter) are configured on the fly.

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.

Enables fetching and parsing news articles from URLs, extracting title, text, author, and publication date.

MCP server for SEO content factory and blog growth cycle, enabling content publishing with validation, interlinking, search query mining, and content audits.