"SEO" matching MCP servers:

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

Enables analyzing SEO page performance using data from Google Search Console, Google Analytics, and PostHog to identify weak CTR, decaying rankings, and other issues, providing actionable recommendations.

Enables users to query Google Search Console and Bing Webmaster data, inspect indexed URLs, submit same-host URLs to IndexNow, and retrieve PageSpeed Insights and CrUX metrics through their MCP client using their own credentials.

Enables analysis of raw SEO data by ingesting nested JSON datasets and converting them into clean, actionable metrics through the Model Context Protocol.

Enables agents to read and stage geospatial datasets via Geo Hub, with read-only and controlled staging tools.

Provides tools for named entity extraction, Wikidata disambiguation, sameAs schema linking, and knowledge graph triple construction, enabling structured semantic data processing.

Enables agents to synchronize, merge, and reconcile distributed state across nodes using conflict-free last-write-wins element sets with Lamport/vector-clock causality, token-bucket gossip dissemination, and quorum-based commit coordination. It runs entirely on the Python standard library and exposes these primitives to Claude Desktop, Cursor, and Windsurf over the MCP JSON-RPC stdio protocol.

Enables Claude to access Google Search Console data including search performance, URL indexation, sitemaps, and built-in SEO analysis tools such as trending queries, cannibalization detection, and traffic drop diagnostics.

Enables users to securely connect Claude to their own Google Search Console data, providing custom SEO analyses such as quick wins, content decay, and cannibalization, plus optional BigQuery bulk export, with per-user token scoping and read-only tools.

Syncs Google Search Console performance data into a local ClickHouse database and exposes prepared SEO analysis tools to AI agents. Enables diagnosing traffic drops, finding striking-distance keywords, detecting cannibalization, auditing indexing, and generating weekly SEO reports through natural language.

Enables MCP clients to access the eGordian JOC Service, including the AEO nine-stage deterministic estimating pipeline and the licensed Gordian CTC catalogue, with scoped authentication and deliberate safeguards.

Enables an AI assistant to read form structures and submissions from a Coletum account (read-only) and to produce Excel/CSV exports, Coletum-style or user-template PDFs, and photographic reports on request. It also stores preferences such as logo and company name and reports where each generated file was saved.

A Model Context Protocol (MCP) based geographic processing server that provides spatial analysis functions including coordinate system conversions, distance calculations, and area calculations.

Enables AI assistants to interact with Apache Kafka clusters through AKHQ's REST API. Supports multi-environment configuration, flexible authentication, and comprehensive coverage of topics, consumer groups, schema registry, Kafka Connect, ksqlDB, and ACLs.

Enables an agent to author StageFlow pipelines as JSON and check them against a live backend — its schema, stages, node types and plan ceilings — before spending a run, then execute or stop them and read back status, results, artifacts, meters and the node path a run took. It also exposes the same graphs to an open editor canvas and, when the backend asks, gathers the backend address through the client's own prompt rather than the conversation.

An MCP server that connects AI agents to cloud-native geospatial data via STAC metadata and DuckDB with H3 spatial indexing, enabling zero-configuration SQL queries on terabyte-scale datasets over S3.

World's first MCP server for point cloud (LAS/LAZ) data, enabling natural language commands to compute earthwork volumes, generate heatmaps, and produce PDF reports.

Enables comprehensive analysis of Interactive Brokers portfolios through automated data fetching and multi-dimensional analytics. Provides performance, tax, cost, risk, and bond analysis across multiple accounts with rich reporting capabilities.