Skip to main content
Glama
houtini-ai

SEO Crawler MCP

by houtini-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to SEO Crawler MCP

No user-submitted related servers found.

    Related Servers

    • Better Google Search Console

      houtini-ai
      A
      license
      A
      quality
      F
      maintenance
      Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
      12
      10 npm
      17
      Apache 2.0

    • seoagent

      yagomp
      A
      license
      Not graded
      quality
      C
      maintenance
      Agent-first SEO toolkit with 24 MCP tools for keyword research, rank tracking, site audits up to 50k pages, competitor analysis, content gap detection, domain reputation, backlink intelligence, Google Search Console integration, and AI-powered strategy generation with Claude, GPT, and Ollama. SQLite-backed and bring-your-own-key.
      MIT

    • librecrawl-technical-seo-audit

      adityaarsharma
      A
      license
      Not graded
      quality
      C
      maintenance
      Open-source technical SEO crawler MCP server built on LibreCrawl. Runs full audits inside Claude, Cursor, or Codex — 50+ checks (hreflang, schema.org, security headers, WAF detection on 200-OK pages), chunked-progressive engine for large sites, ephemeral by design (server forgets every audit after download).
      40
      MIT

    • seocli

      lennney
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to crawl and audit websites for SEO issues, returning structured JSON reports with errors, warnings, and key statistics.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools have mostly distinct purposes, but there is some overlap between analyze_seo and query_seo_data, as both involve executing SEO analysis queries. However, analyze_seo runs a predefined set of queries, while query_seo_data allows for executing specific queries by name, which helps differentiate them. The other tools (list_seo_queries and run_seo_audit) are clearly distinct.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., analyze_seo, list_seo_queries, query_seo_data, run_seo_audit). The naming is predictable and readable, with no deviations in style or convention.

    Tool Count4/5

    With 4 tools, the count is reasonable for an SEO crawler server, covering key operations like crawling, listing queries, executing queries, and analyzing data. It might be slightly thin for a comprehensive SEO toolset, but it is well-scoped and each tool earns its place.

    Completeness3/5

    The toolset covers core SEO analysis workflows, including crawling, query listing, and data analysis. However, there are notable gaps, such as missing update or delete operations for managing queries or crawl data, and no tools for monitoring or reporting beyond the initial analysis. This could limit agent flexibility in handling ongoing SEO tasks.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources