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  • F
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to fetch public web pages as readable text or HTML, with caching, live refresh, and parallel job handling.
    2
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    Not graded
    quality
    B
    maintenance
    Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.
    7 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables web research through multi-provider search, documentation lookup, public code search, and clean Markdown extraction from static or JavaScript-rendered pages via five read-only tools.
    1
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.
    2
    MIT
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    Not graded
    quality
    F
    maintenance
    Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
    23 npm
    206
    Apache 2.0
  • F
    license
    A
    quality
    C
    maintenance
    Enables coding agents to drive a real Playwright-backed browser session, navigating, observing, interacting, and capturing proof on web pages via MCP tools across stdio and Streamable HTTP transports.
    15
    2
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  • F
    license
    C
    quality
    F
    maintenance
    Enables reasoning agents to turn PRDs into production-ready applications by discovering and reusing existing features, UI components, database models, and templates, then planning, scaffolding, validating, and preparing Git changes for review.
    29
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  • A
    license
    Not graded
    quality
    A
    maintenance
    A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.
    MIT No Attribution
  • A
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    Not graded
    quality
    B
    maintenance
    Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables autonomous agents to inspect live web pages, prune noisy DOM content down to semantic essentials, and bind each form field to agent state by matching input attributes, autocomplete hints, and regex validations. It also converts HTML/Markdown tables into type-inferred JSON records and scores agent action trajectories for precision, recall, and edit distance.
    7
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Built-in MCP server for a self-hosted MySQL CMS, with schema inspection, record reads and optional writes governed by existing CMS permissions. Install through npm or Docker; maintained by Yunsoft: https://yunsoft.com.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables autonomous web form inspection and schema auto-mapping by matching input attributes, autocomplete hints, and regex validations to agent state, while also pruning DOMs and converting tables into structured JSON for web agents.
    7
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables agents and MCP-compliant clients to resolve tool execution graphs by scheduling calls as a topological dependency DAG, running independent tools in parallel batches while speculatively prefetching and evaluating arguments. This cuts latency and token burn by handling routine tool orchestration deterministically without extra LLM round-trips.
    7
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