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113,497 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 4,794 matching servers on stars, growth, downloads and maintenance. Updated .

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"A tool for real-time error detection in web browsers" matching MCP servers:

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  • A
    license
    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
    A
    quality
    C
    maintenance
    Enables German real-estate appraisal calculations, including property depreciation and purchase-price allocation, through MCP tools backed by AfaMax APIs.
    5
    73 npm
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
    66
    143 PyPI
    402
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables retrieval and filtering of Indiana Bureau of Motor Vehicles (BMV) locations, including branches, self-service kiosks, and motorcycle training sites.
    18 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
  • A
    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.
    3
    0
    MIT
  • A
    license
    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.
    27 npm
    206
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables statistical forecasting and anomaly detection over numerical time-series data using Holt linear smoothing, multi-step projections, and variance-based confidence bands.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to forecast numerical trends with zero-dependency Holt linear exponential smoothing, multi-step horizons, variance confidence bands, and supporting statistical anomaly detection, regression, hypothesis testing, and PCA.
    7
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for QuickBooks Time (beta): https://www.cdata.com/download/download.aspx?sku=HCZK-V&type=beta
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables secure validation of agent credentials through constant-time digest comparison, JWT HMAC-SHA256 checks, Merkle inclusion proofs, Schnorr zero-knowledge verification, and nonce replay protection. It integrates natively with MCP clients to harden autonomous agent authentication workflows.
    7
    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
    -