"A search for information about SEO (Search Engine Optimization)" matching MCP servers:

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

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

An MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.

Enables AI agents to browse and interact with JavaScript-rendered websites stealthily, and to delegate research or automation tasks to sub-agents that can cite sources and produce reusable scripts, with full logging and a live dashboard.

A lightweight and fast MCP server that enables AI agents to efficiently discover and execute tools through progressive disclosure, minimizing context consumption while supporting safe code execution in external environments.

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.

Persistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

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-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Persistent memory for AI agents with semantic memory, belief tracking, and dream consolidation, enabling cross-session knowledge retention.

Local-first stdio MCP server for agent relationship-continuity state: PAD mood, affective pulse, trust, decay, and boundary signals kept beside factual memory.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Consciousness Engine - MCP server providing AI-powered tools and automation by MEOK AI Labs

A standard MCP server for discovering AI agents and negotiating signed skill contracts. Buyer-seller payments are settled directly outside the platform; Agent Economy Engine collects only a platform fee after both parties attest completion.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Enables AI agents to play Disco Elysium through MCP protocol, with a SQLite ROM containing the game's script and rules, plus a real-time browser observatory.

Provides AI agents with tools for structuring and auditing cold outreach messages, building follow-up sequences, handling replies, and detecting red flags.

A persistent world your agents share across sessions and models. MCP memory server with semantic memory retrieval, cross-agent handoff, a hosted remote endpoint with OAuth, a free 24-hour room, and an open-source local stdio server.