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Related Servers

Alternatives to NeuralVerge

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to retrieve public profile and company data from LinkedIn, Facebook, and Instagram, and to run Google web searches via the Serper API. These capabilities are exposed as MCP tools that return JSON-formatted results for natural-language queries.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to retrieve LinkedIn personal and company profiles, public Facebook and Instagram profile information, and Google web search results through RapidAPI and Serper integrations. Exposes these capabilities as MCP tools that return structured JSON data for direct use in clients like Claude Desktop.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables an AI assistant to scrape public LinkedIn, Facebook, and Instagram profile and company data, and to run Google web searches via the Serper API. Exposes these capabilities as MCP tools that return JSON-formatted results for use in clients such as Claude Desktop.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to access a unified catalog of tools from various APIs (OpenAPI, GraphQL, MCP, Google Discovery) through the MCP protocol.
      7 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Automatically loads Mixpeek's OpenAPI spec and exposes its endpoints as MCP tools, enabling natural language interaction with Mixpeek's API via standard MCP clients.
      38 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Exposes over 19,000 Apify Actors as MCP tools for web scraping, data extraction, and OSINT automation. It enables AI agents to dynamically discover and execute scrapers to collect structured data and crawl web content.
      MIT

    TDQS

    B3.2/5.0

    Scored across 342 tools

    Disambiguation4/5

    Most tools are clearly distinguishable by source platform and entity/action, and descriptions help distinguish similar operations. Minor ambiguities exist, such as run_phone_enrichment vs run_phone_enrichment_us, run_trustpilot vs run_trustpilot_search, and the many country-specific company-registry tools.

    Naming Consistency4/5

    The set overwhelmingly follows a consistent run_ + snake_case convention, often with source/entity/action suffixes. A few deviations appear, including singular vs plural forms and prefixes, such as run_trustpilot, run_ebay_item, run_poshmark_users_following vs run_poshmark_users_followers.

    Tool Count1/5

    342 tools is far too many for a coherent MCP server surface. Even as an aggregator, this volume makes selection, maintenance, and discovery unwieldy and strongly exceeds reasonable bounds.

    Completeness4/5

    The surface covers an enormous breadth of verticals: web search/extract, contact enrichment, marketplaces, company registries, startup directories, review sites, and more. Gaps are minor and mostly reflect read-only limitations rather than missing core operations.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive