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Sreenuraj

web-mcp

by Sreenuraj
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    • groundwork

      Des-Sleigh
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to perform grounded web research with injection resistance, claim verification, and cost-aware routing through MCP tools like web_search, fetch_url, extract_claims, and check_grounding.
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    • qsearch

      theYahia
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform web searches with full content retrieval and multi-engine provenance, including trust scoring and local corpus persistence, via MCP integration.
      1 npm
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    • jiro

      DevAnimecx
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to perform live web searches across 9 engines, scrape web pages into clean formats, and run agentic research with citations via MCP.
      115 PyPI
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    • Wagalo

      scottconverse
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to run local-first web research: intent-routed search across independent engines with reranking, a multi-stage fetch/crawl ladder, and document extraction. Results come back as signed-cursor, citation-bearing evidence envelopes, with an optional separately enabled profile for browser click/type actions.
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    • research

      jbiscella
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.
      BSD Zero Clause
    Deploy Server
    Give agents eyes on the webHosted screenshot MCP. Send a URL, get a pixel-perfect image. $0.002 per grab. Works with Claude, Cursor, and Codex.grabbit.liveAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool targets a distinct step: starting a session, searching, fetching a page, and recording an approval. The two research_-prefixed tools (start vs approve) are semantically different but share a prefix, which could cause minor momentary confusion.

    Naming Consistency4/5

    All names use snake_case with a clear verb_noun pattern (research_approve, research_start, web_search, web_fetch). The only deviation is the mixed research_ vs web_ prefixes, which is cosmetic rather than confusing.

    Tool Count4/5

    Four tools map cleanly onto the research workflow (start, search, fetch, approve) with no redundancy. Slightly lean but well-scoped; no obvious filler.

    Completeness4/5

    The core loop of session start, search, fetch, and approval is covered. Minor gaps like an explicit session-end or session-status operation exist but are not blocking for the described workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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