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alkasima

Alka Search MCP

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Alternatives to Alka Search MCP

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    • A
      license
      A
      quality
      B
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      Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.
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    • -
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      quality
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      Gives any MCP client keyless web, news, semantic, and GitHub search plus a token-efficient reader-mode page and text-PDF fetcher, with engine fallback and a local sqlite cache. It enables agents to keep researching the web without API keys, signups, or account quotas.
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    • A
      license
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      quality
      C
      maintenance
      Enables keyless multi-engine web, news, image, and video metasearch plus full-page markdown extraction for AI agents over MCP, with resilient fallback across DuckDuckGo, Bing, Brave, Google, and other backends.
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    • A
      license
      A
      quality
      C
      maintenance
      Enables any MCP-compatible AI agent to search the live web and fetch pages as clean Markdown, including batch fetching with rate limiting, retries, and context-safe truncation.
      3
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    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: web_search finds pages, fetch_page reads a URL, and fetch_llms_txt retrieves a domain's llms.txt. The descriptions explicitly state ordering and when to use one over the other, leaving no real overlap.

    Naming Consistency5/5

    All three names use consistent snake_case with an action-oriented verb or clear resource label (web_search, fetch_page, fetch_llms_txt). The pattern is predictable and readable throughout.

    Tool Count5/5

    Three tools are well-scoped for a free search-and-fetch server; each earns its place and there is no redundancy. The count matches the narrow purpose without bloat or thinness.

    Completeness4/5

    The core lifecycle (search, fetch page, fetch llms.txt) is covered cleanly with no dead ends. Minor gaps exist, such as no pagination or result-filtering for deeper searches, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues