Skip to main content
Glama
apexapi

apexapi-mcp

Official
by apexapi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to apexapi-mcp

No user-submitted related servers found.

    Related Servers

    • @crawlbrulee/mcp by crawlbrulee

      @crawlbrulee/mcpofficial

      crawlbrulee
      A
      license
      A
      quality
      A
      maintenance
      Enables MCP-aware AI agents to scrape web pages into markdown, screenshots, metadata, and links, map sites, run asynchronous scrape jobs, and check usage, with EU-hosted, GDPR-aligned processing.
      7
      650 npm
      Apache 2.0
    • SandBase by sandbaseai

      SandBaseofficial

      sandbaseai
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to discover and invoke 2,000+ models and APIs—including web search, social media, scraping, image/video generation, and audio—through a single local MCP bridge using OAuth, with no per-API keys.
      31 npm
      188
      Apache 2.0

    • Anybrowse

      kc23go
      A
      license
      A
      quality
      D
      maintenance
      MCP-native web scraping and search API for AI agents. Converts any URL to clean Markdown with 90% success rate, including Cloudflare-protected sites and JS SPAs. Real-time web search via Brave Search API. CAPTCHA solving built-in. 10 free scrapes/day.
      5
      5 npm
      5
      MIT

    • multi-scraper-mcp

      Perufitlife
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables lead generation and web scraping through 16 MCP tools, allowing AI clients like Claude, Cursor, and Windsurf to perform scraping tasks via natural language.
      25 npm
      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

    A4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct operation: balance, chat, model catalog, single-page scraping, site crawling, structured extraction, job polling, image generation, and speech generation. Even the web-scraping trio (scrape_page, crawl_site, extract_structured) is clearly differentiated by scope and output format.

    Naming Consistency4/5

    Most tools follow a clear verb_noun snake_case pattern (list_models, scrape_page, generate_image, etc.). The exception is 'chat,' which is just a verb and breaks the pattern slightly, though it is still readable.

    Tool Count5/5

    With 9 tools, the server covers a broad but well-defined API surface. Each tool serves a distinct function without redundancy, and the count is appropriate for an API aggregator.

    Completeness4/5

    The core workflows are covered: balance checking, model discovery, chat, web scraping (single and multi-page), structured data extraction, job polling, image and speech generation. Missing are minor conveniences like canceling or listing jobs, but agents can work around these.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources