"SEO" matching MCP servers:

Enables MCP clients such as Claude Code, Cursor and Codex to search a 1,245-site backlink library, plan link-building campaigns, build links in the user's own browser by following each site's method, and verify every placement by checking the live hyperlink, anchor text and nofollow status. It also resolves captcha, login and email-code gates in the chat, and re-checks placed links and referring domains over time with spam flags and a disavow file.

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

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 agents to purchase verified growth outcomes such as qualified leads, sales meetings, and SEO content, with payment only for accepted results.

Enables autonomous agents to access and manage YG3 marketing workflows—content, SEO, outbound email, LinkedIn, and paid ads—via a provisioned sandbox workspace.

Turn Claude Code into your SEO manager with keyword research, content pipeline that ships pull requests, rank tracking, and a dashboard.

Enables AI assistants to run WordPress site reconnaissance, malware/CVE security scans, SEO-spam/cloaking detection, and end-to-end natural-language goals through a stdio MCP interface, with the target site configured via environment variables.

Enables AI agents to browse the Lumind service catalogue, check budgets, launch GEO/SEO scans, and retrieve reports with autonomous but capped spending.

A Model Context Protocol server providing durable, cross-session memory for AI agents, powered by Qwen on Alibaba Cloud. Enables agents to write, search, recall, and forget memories with semantic ranking.

Enables AI agents to analyze images through vision AI providers (Gemini, OpenAI, Claude), performing tasks like image description, object detection with bounding boxes, region-specific analysis, and precise color extraction without consuming context window with raw pixels.

Website testing MCP server built for AI agents: 63 Playwright tools with hard assertions, auto form-fill, persistent authenticated sessions, network mocking, and accessibility/SEO/GEO + Lighthouse audits.

Equips AI coding agents with 62 production-grade tools across 28 modules for persistent memory, live GitHub scouting, UI/UX design, DevOps, security, performance auditing, and SEO/AEO/GEO optimization, enabling automated, development workflows.

Integrates an autonomous AI engineering agent into your editor via the Model Context Protocol, allowing you to describe AI/ML tasks in plain English and execute them locally.

Growth marketing, SEO and GEO as agent tools: 29 tools for AI answer visibility across ChatGPT, Gemini, Perplexity and Google AI Overviews, a ranked backlog of growth moves, drafted deliverables, and ship actions. Hosted remote server at https://afterlaunch.io/api/mcp.

Enables parallel coding agents to coordinate through a fenced ticket queue with atomic claim-and-dispatch, lease-based locks, dependency-aware scheduling, typed links, batch ticket creation, and hash-chained history over a shared SQLite file.

Enables AI agents to control SO-ARM100 and LeKiwi robots using natural language instructions and integrated camera vision. It supports multiple communication transports and includes a CLI agent compatible with Claude, Gemini, and GPT models.

Enables a self-hosted control room for Codex agents, scheduled tasks, shared skills, and stateless OAuth MCP access.

Enables agents to route every action through a pre-execution gate that returns allow, escalate-to-human, or deny verdicts, backed by deterministic hard-rule blocks plus probabilistic gray-zone scoring, and to run a resumable orchestration loop covering routing, quality gates, stop-loss, acceptance, and escalation. Every decision, arbitration between conflicting agents, and human approval is written to an append-only hash-chained, Ed25519-signed ledger that can be postmortemed, calibrated, alert-scanned, and exported as offline verification bundles or OTel spans.

Enables a private, local-first AI agent that uses your Obsidian vault as memory, exposing an ask_seastar tool to any MCP host and consuming other MCP servers while running entirely on your machine with any OpenAI-compatible local model.

An execution state machine MCP server that manages YAML-defined plans, enabling step-by-step execution with state tracking and token optimization.

Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting information that requires review.

Provides cross-session memory for AI agents by maintaining a rolling 24-hour event stream and searchable daily archives to prevent context loss. It enables agents to record, query, and retrieve historical events and decisions through a structured markdown-based workspace.

MCP server exposing specialized AI agents (CEO, CTO, Designer, Sales, Marketing, QA) that collaborate through an intelligent orchestrator for business strategy, technology, design, sales, marketing, and quality tasks.

An MCP server that combines sequential thinking with persistent memory through a knowledge graph, enabling AI assistants to explore decision trees by recording thinking traces, branching at low-confidence points, and backtracking to explore alternative paths.