"An overview or guide to Search Engine Optimization (SEO)" matching MCP servers:

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 fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.

Enables AI agents to check backlinks, domain rating, and expired domains using the seo-backlinks.net API.

An MCP server that provides SEO analysis tools including backlink analysis, keyword research, and traffic estimation using Ahrefs data, with CAPTCHA solving and caching.

Provides AI agents with live search research—competitors, topics, entities, questions, AI citations, content gaps, and source URLs—before they write.

Provides AI agents with typed SEO tools for domain authority, keyword opportunities, competitor gap analysis, content briefs, site audits, and internal links, backed by Common Crawl graph data and optional x402 payment settlement.

Connects AI assistants to SEO data from Yandex Webmaster, Google Search Console, Yandex Metrica, and Topvisor, enabling natural language analysis of search performance, indexation, positions, and audits.

An MCP server that brings difficulty-adaptive, multi-path reasoning to Claude Code. It implements the Actor-Critic-Planner-Reflexion (ACPR) pipeline for deep research synthesis.

A quantitative finance MCP server providing 24 tools for option pricing, portfolio optimization, risk measurement, fixed income analysis, and utility functions, enabling AI clients to perform professional financial calculations.

Enables natural-language, read-only analysis of your own Google Search Console and Google Analytics 4 data, including search performance, engagement, sitemap health, ranking opportunities, and deterministic SEO audits through MCP clients like ChatGPT.

A water treatment process simulation engine that exposes WaterTAP capabilities through MCP and CLI adapters, enabling AI agents to build, solve, and optimize flowsheets using natural language.

Provides secure, agentic Excel analysis and calculation capabilities, enabling users to inspect workbook structure, perform statistical computations, write formulas, and generate outputs through whitelisted MCP tools with audit trails and backups.

Enables B2B lead generation through Apify's Prospect Engine actor, supporting company enrichment, job discovery, contact finding, and full ICP-gated outreach workflows.

MCP server for searching Chinese academic literature from CNKI Space, returning metadata such as title, authors, year, and links, and retrieving abstracts and degree details. Enables agents to query CNKI without an account.

Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.

MCP server for PubMed search and literature summarization

Connects Claude to Sketch Engine for corpus linguistics and text analysis, enabling queries on collocations, concordances, word usage, and more via natural language.

A statistical analysis MCP server offering 30 tools for descriptive statistics, hypothesis tests, regression, and time series, all returning Markdown reports with automatic interpretations to enable AI agents to perform comprehensive data analysis.

Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.

An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.