"SEO" matching MCP servers:

Enables web audits for performance, security, SEO, and DNS, returning structured improvement prompts for AI assistants.

Monitor website health, uptime, SEO, security and performance via your AI assistant.

Connects LLMs to Google PageSpeed Insights to analyze web performance, accessibility, SEO, and best practices, enabling AI assistants to audit and improve any web page.

Enables AI assistants to query structured Seq logging events, search logs by date ranges and signals, convert natural language into strict Seq filter syntax, run analytical SQL queries, and monitor live log streams.

Enables LLMs to query and analyze logs from SEQ structured logging server with capabilities for searching events, retrieving event details, analyzing log patterns, and accessing saved searches.

The Seq MCP Server enables interaction with Seq's API endpoints for logging and monitoring, providing tools for managing signals, events, and alerts with extensive filtering and configuration options.

A Model Context Protocol server that provides AI agents with controlled read access to Datalust Seq instances for log analysis and monitoring. It enables agents to search events, execute data queries, and retrieve information about signals, dashboards, and alerts.

An MCP server for analyzing Googlebot vs AI crawler parity from Nginx access logs and Google Search Console data.

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 AI assistants and coding agents to audit, compare, and optimize websites for performance, SEO, AEO, GEO, and AI crawler accessibility directly from chat or development workflows.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

MCP server for querying structured logs from Datalust Seq, providing tools to search logs, retrieve recent errors, fetch events, and check health.